PAPILLONS Data Management Plan

Papillons Data Management Plan Version 1 Description There is a serious concern that the continuous addition of MNPs to soil may exceed a critical threshold, beyond which the viability of this ecosystem to dispense ecological and agricultural services is irreversibly impaired. Data is collected and/or generated by the consortium and partners in order to assess impacts of micro-scale plastics on soil properties, fauna and plants. The main objective is to fill knowledge gaps on the sources, behaviour and long-term ecological and socioeconomic impacts of MNPs from AP in European soils and provide the scientific background to enable policy, agricultural and industrial innovation towards sustainable farm production systems. Through novel data collection, generation and analysis PAPILLONS will build a Knowledge Hub to fill these gaps using co-development, sharing and exploitation of AP and MNPs data. This data management plan describes the datasets produced through the PAPILLONS project, for direct access to archived datasets also look at the PAPILLONS community on Zenodo. LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Funder Grant European Commission||EC Plastic in Agricultural Production: Impacts, Lifecycles and LONg-term Sustainability (corda__h2020::101000210) Researchers Pierfrancesco Cerruti (orcid:0000-0003-0822-2866), Giuliano Vox (orcid:0000-0003-4017-5174), Ileana Blanco (orcid:0000-00032927-3427), Kees van Gestel (orcid:0000-0002-5651-0208), Rebecca Agati (orcid:0009-0000-8981-9386), Caterina Borchi (orcid:00090009-2059-9317), Jana Pulkrabova (orcid:0000-0003-1965-4672), Salla Selonen (orcid:0000-0002-2070-0288), Bartosz Adamczyk (orcid:0000-0003-4286-9508), Sebastian Pietz (orcid:0000-00022224-073X), Shin Woong Kim (orcid:0000-0002-1434-9444), Raisa Turja (orcid:0000-0002-1423-3556), Maria Kazour (orcid:00000001-5184-3671), Matthias Rillig (orcid:0000-0003-3541-7853), Sabrina Carola Carroccio (orcid:0000-0002-9645-0369), Frédéric GIMBERT (orcid:0000-0001-9131-0028), Sannakajsa Velmala (orcid:0000-0001-9813-9825), Ali Hachem (orcid:0000-0002-10430042), Valentina Tartiu (orcid:0000-0002-7272-9824), Vili Saartama (orcid:0009-0000-2771-0692), Aristeidis S. Tsagkaris (orcid:00000003-4450-2611), Paolo Maria Riccobene (orcid:0000-0003-09804841), Sam van Loon (orcid:0000-0003-1905-2057), Virtudes Martínez-Hernández (orcid:0000-0002-0542-4377), Thijs Bosker Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 (orcid:0000-0002-7727-1402), Fabiana Convertino (orcid:00000002-3799-6038), willie peijnenburg (orcid:0000-0003-2958-9149), sandro dattilo (orcid:0000-0002-3127-9580), Anita Jemec Kokalj (orcid:0000-0003-3143-4461), Jakub Hofman (orcid:0000-00032153-7213), Klára Šmídová (orcid:0000-0003-0180-0512), Laura Zantis (orcid:0000-0002-8682-8727), Darina Dvorakova (orcid:0000-0001-6837-3469), Martina Vijver (orcid:0000-00032999-1605), Evelia Schettini (orcid:0000-0002-8456-8677) Organizations UNIVERSITAT BAYREUTH, Universiteit Leiden, UNIVERSITAET KOBLENZ-LANDAU, UNIVERSITA DEGLI STUDI DI BARI ALDO MORO, Nanjing University, INSTYTUT HODOWLI I AKLIMATYZACJI ROSLIN - PANSTWOWY INSTYTUT BADAWCZY, LUONNONVARAKESKUS, FARM EUROPE AISBL, FUNDACION IMDEA AGUA, Geoponiko Panepistimion Athinon, SUOMEN YMPARISTOKESKUS, VYSOKA SKOLA CHEMICKO-TECHNOLOGICKA V PRAZE, FREIE UNIVERSITAET BERLIN, FORSCHUNGSZENTRUM JUELICH GmbH, Norwegian Institute for Water Research, Stichting VU (Vrije Universiteit Amsterdam), RHEINISCHE FRIEDRICHWILHELMS-UNIVERSITAT BONN, Masarykova Univerzita, Univerza v Ljubljani, Consiglio Nazionale delle Ricerche Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1. Main Info Title of DMP: Papillons Data Management Plan Description: There is a serious concern that the continuous addition of MNPs to soil may exceed a critical threshold, beyond which the viability of this ecosystem to dispense ecological and agricultural services is irreversibly impaired. Data is collected and/or generated by the consortium and partners in order to assess impacts of micro-scale plastics on soil properties, fauna and plants. The main objective is to fill knowledge gaps on the sources, behaviour and long-term ecological and socioeconomic impacts of MNPs from AP in European soils and provide the scientific background to enable policy, agricultural and industrial innovation towards sustainable farm production systems. Through novel data collection, generation and analysis PAPILLONS will build a Knowledge Hub to fill these gaps using co-development, sharing and exploitation of AP and MNPs data. This data management plan describes the datasets produced through the PAPILLONS project, for direct access to archived datasets also look at the PAPILLONS community on Zenodo. Researchers: Pierfrancesco Cerruti (orcid:0000-0003-0822-2866) Giuliano Vox (orcid:0000-0003-4017-5174) Ileana Blanco (orcid:0000-0003-2927-3427) Kees van Gestel (orcid:0000-0002-5651-0208) Rebecca Agati (orcid:0009-0000-8981-9386) Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Caterina Borchi (orcid:0009-0009-2059-9317) Jana Pulkrabova (orcid:0000-0003-1965-4672) Salla Selonen (orcid:0000-0002-2070-0288) Bartosz Adamczyk (orcid:0000-0003-4286-9508) Sebastian Pietz (orcid:0000-0002-2224-073X) Shin Woong Kim (orcid:0000-0002-1434-9444) Raisa Turja (orcid:0000-0002-1423-3556) Maria Kazour (orcid:0000-0001-5184-3671) Matthias Rillig (orcid:0000-0003-3541-7853) Sabrina Carola Carroccio (orcid:0000-0002-9645-0369) Frédéric GIMBERT (orcid:0000-0001-9131-0028) Sannakajsa Velmala (orcid:0000-0001-9813-9825) Ali Hachem (orcid:0000-0002-1043-0042) Valentina Tartiu (orcid:0000-0002-7272-9824) Vili Saartama (orcid:0009-0000-2771-0692) Aristeidis S. Tsagkaris (orcid:0000-0003-4450-2611) Paolo Maria Riccobene (orcid:0000-0003-0980-4841) Sam van Loon (orcid:0000-0003-1905-2057) Virtudes Martínez-Hernández (orcid:0000-0002-0542-4377) Thijs Bosker (orcid:0000-0002-7727-1402) Fabiana Convertino (orcid:0000-0002-3799-6038) willie peijnenburg (orcid:0000-0003-2958-9149) sandro dattilo (orcid:0000-0002-3127-9580) Anita Jemec Kokalj (orcid:0000-0003-3143-4461) Jakub Hofman (orcid:0000-0003-2153-7213) Klára Šmídová (orcid:0000-0003-0180-0512) Laura Zantis (orcid:0000-0002-8682-8727) Darina Dvorakova (orcid:0000-0001-6837-3469) Martina Vijver (orcid:0000-0003-2999-1605) Evelia Schettini (orcid:0000-0002-8456-8677) Organizations: UNIVERSITAT BAYREUTH Universiteit Leiden UNIVERSITAET KOBLENZ-LANDAU UNIVERSITA DEGLI STUDI DI BARI ALDO MORO Nanjing University Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 INSTYTUT HODOWLI I AKLIMATYZACJI ROSLIN - PANSTWOWY INSTYTUT BADAWCZY LUONNONVARAKESKUS FARM EUROPE AISBL FUNDACION IMDEA AGUA Geoponiko Panepistimion Athinon SUOMEN YMPARISTOKESKUS VYSOKA SKOLA CHEMICKO-TECHNOLOGICKA V PRAZE FREIE UNIVERSITAET BERLIN FORSCHUNGSZENTRUM JUELICH GmbH Norwegian Institute for Water Research Stichting VU (Vrije Universiteit Amsterdam) RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN Masarykova Univerzita Univerza v Ljubljani Consiglio Nazionale delle Ricerche Contact: Leirvik Kim ([email protected]), Girardin Viviane ([email protected]) 2. Funding Funding organizations: European Commission||EC Grants: Plastic in Agricultural Production: Impacts, Lifecycles and LONg-term Sustainability (corda__h2020::101000210) Project: Plastic in Agricultural Production: Impacts, Lifecycles and LONg-term Sustainability 3. License License: CC-BY-4.0 Access Rights: Public Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4. Templates Descriptions SubTask 1.1.1 - Chemical composition of main agricultural plastics articles used for protected cultivation systems Task: Analysis of polymeric composition and chemical additives This dataset reports the detailed analysis of the possible chemical additives present in the formulations of the agricultural plastics selected in the frame of Task 1.1. The output of this activity consists in the development of a database of the polymer formulations representative of the AP, including type of additives. Identification of additives has been carried out through the ‘suspected target’ approach following a priority list elaborated in collaboration with other partners and stakeholders (Task 1.1.1). Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting commercial name of analyzed products, name of chemical constituents (both polymer and identified chemical additives), CAS number of identified chemical constituents, quantitative or semi-quantitative estimation of amounts of chemical constituted per mass of the bulk product. Template: Horizon 2020 Type: Dataset Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? • To obtain information • To share information 1.1.2 What are the types of the described generated/collected data? • sample or specimen data • experimental (e.g., gene sequencing data) Primary data regarding the characterization of chemical composition and physical properties of agricultural plastics are collected, generated and shared. 1.1.3 What are the formats of the described generated/collected data? • Text files • Numerical • Software .txt and .xls files of chromatography and mass spectrometry datasets relative to the chemical characterization of agricultural plastics. 1.1.4 What is the origin of the described data? Primary data 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? No 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.7 Will you use naming conventions for your data? No 3.1.1.9 Will you provide clear version numbers for your data? No 3.1.1.10 Will you provide persistent identifiers for the described data? No 3.1.1.12 Will you provide searchable metadata for the described data? No 3.1.1.15 Will you use standardised formats for the described data? Yes Data are stored under .zip file format, or as tabular data (.txt, .csv, .xls type files). Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes DataCite Metadata Schema 3.1.1.3 Will your metadata use standardised vocabularies? Yes a. https://opendefinition.org/ license b. https://www.crossref.org/services/funder-registry/ funders 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.1.8 Please provide more details and examples on used naming conversions https://zenodo.org/records/10995989 Mulch films consisting of 3 different conventional linear low-density polyethylene (LLDPE, coded as M_PE) and 4 different biodegradable (PBATbased, coded as M_BIO) films. 3.1.1.9 Will you provide clear version numbers for your data? No 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.14 Please provide URL/Name for the used searchable metadata https://zenodo.org Zenodo 3.1.1.15 Will you use standardised formats for the described data? Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg). Some data will be uploaded as MS Excel format (.xslx). However they are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. 3.1.1.18 Are the file formats you will use open? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg). Some data will be uploaded as MS Excel format (.xslx). 3.1.1.20 Do supported open-source tools exist for accessing the data? No 3.1.1.21 Please describe if data require proprietary tools to access the data. Data are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. 3.1.1.22 Will you provide metadata describing the quality of the data? No 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive https://zenodo.org/records/10995989 Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories https://zenodo.org/records/10995989 Zenodo 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No Some files will require proprietary software to access, such as MS Office suite for .xls files. Data are included in a .rar folder, to be open with software suites including WinZip, WinRAR, etc. 3.1.2.9 Will you also make auxiliary data that may be of interest to researchers available? no auxiliary data 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 3.1.4.7 Describe the data quality assurance processes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Periodical calibration of the equipments, standardized procedure for sample peraration and analysis, replicated testings. 3.1.4.8 Will you provide any support for data reuse? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? No 4.1.3 Identify the people or roles that will be responsible for the management of the described data Pierfrancesco Cerruti (orcid: 0000-0003-0822-2866) 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage Zenodo 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time https://zenodo.org/records/10995989 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 1.2.1 - Morphological and physical chemical characterization of main agricultural plastics articles used for protected cultivation systems during ageing in fields, and collection practices Clusters of tabular data and images reporting level and typology of ageing of analysed materials, value of measured property. Estimated environmental losses during ageing. The associated dataset available on Zenodo includes data generated upon the implementation of the ST 1.2.1 "Analysis of degradation and fragmentation of AP and transfer of MNP to soil". The activities dealt with the study of degradation and fragmentation from weathering and agricultural practices of conventional and biodegradable AP relevant for transfer of MNP to soil (during both use and end of life). In particular, the experimental data refer to characterization of biodegradable mulch films, pristine (coded M-BIO0) or subjected to photo-oxidative weathering (M-BIO192), as well as the same samples buried in soil for varying time periods, up to 353 days. The folders included contain gel permeation chromatography (GPC) and Matrix-assisted Laser Desorption Ionization (MALDI-TOF) data, which account for the change in film molecular weight upon soil burial. Furthermore, Differential Scanning Calorimetry (DSC) data and Scanning Electron Microscopy (SEM) and Water Contact Angle (WCA) images of some selected soil-buried samples are also provided. Template: Horizon 2020 Type: Dataset Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? • sample or specimen data • Other 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Primary data 1.1.5 What is the expected size of the described data? MB (megabyte) Less than 100 Mb 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes Yes DataCite Metadata Schema 3.1.1.3 Will your metadata use standardised vocabularies? Yes a. https://opendefinition.org/ license b. https://www.crossref.org/services/funder-registry/ funders 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.8 Please provide more details and examples on used naming conversions https://zenodo.org/records/11195867 Mulch films consisting of biodegradable, PBAT-based, polymer formulations, pristine (coded as M-BIO0) or subjected to photo-oxidative weathering for Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 192h (M-BIO192), as well as the same samples buried in soil for varying time periods, up to 353 days. 3.1.1.9 Will you provide clear version numbers for your data? No 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? No 3.1.1.14 Please provide URL/Name for the used searchable metadata https://zenodo.org/records/11195867 Zenodo 3.1.1.15 Will you use standardised formats for the described data? Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg, .tif). However they are included in a .zip folder, to be opened with software suites including WinZip, WinRAR, etc. 3.1.1.18 Are the file formats you will use open? Yes Standard file formats for tabular data (.txt, .csv) and image data (.jpg, .tif). 3.1.1.20 Do supported open-source tools exist for accessing the data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.14 Please provide URL/Name for the used searchable metadata a. https://zenodo.org/records/11204123 Zenodo b. https://zenodo.org/records/11186346 Zenodo 3.1.1.15 Will you use standardised formats for the described data? No 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 1.2.2 - Images and audiovisual on end of life management practices. Task: End-of-life practices sourcing plastic pollution to soil Images and audio-visual documenting end of life practices (with metadata) Images of Missmanagement and Collection of AP residues from regions related to AP Waste (APW) mismanagement, potentially contaminated by MNP-Greece - https://zenodo.org/records/11066395 Images of Collection of AP residues from regions related to AP Waste (APW) mismanagement, potentially contaminated by MNP-Italy - https://zenodo.org/records/11066458 Template: Horizon 2020 Type: Dataset Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other 1.1.3 What are the formats of the described generated/collected data? Multimedia Images (.jpg) 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes DataCite Metadata Schema 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.4 Please provide URL/Description of used vocabularies a. https://opendefinition.org/ License b. https://www.crossref.org/services/funder-registry/ Funders 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes Metadata is indexed and searchable directly in Zenodo's search engine immediately after publishing and sent to Datacite servers and indexed 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.14 Please provide URL/Name for the used searchable metadata a. https://zenodo.org/records/11066458 Zenodo b. https://zenodo.org/records/11066395 Zenodo 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.1.22 Will you provide metadata describing the quality of the data? No 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.2.3 How will the data be made available? Repository of Archive 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.2.9 Will you also make auxiliary data that may be of interest to researchers available? at end of project 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 1.2.3 - Quantitative (tabular data) and qualitative (text) description of Mulching film degradation in different case studies in Europe. the dataset "Biodegradable mulching film degradation in soil in Italy" " and the Image "Biodegradable mulching film degradation in soil in Italy" show the visible degradation process of biodegradable mulching samples in the soil at the experimental field of the University of Bari (Italy). https://zenodo.org/records/11048438 Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1.1.3 What are the formats of the described generated/collected data? Text files .txt files in a .rar folder. 1.1.4 What is the origin of the described data? Primary data 1.1.5 What is the expected size of the described data? MB (megabyte) Size is less than 10 Mb. 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes DataCite Metadata Schema all data are .txt format. Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.1.3 Will your metadata use standardised vocabularies? Yes 3.1.1.4 Please provide URL/Description of used vocabularies a. https://opendefinition.org/ license b. https://www.crossref.org/services/funder-registry/ funders 3.1.1.5 Will you make the metadata available free-of-charge? Yes yes, the data folder is available on Zenodo 3.1.1.6 Will your metadata be harvestable? Yes https://zenodo.org/oai2d 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? No 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 https://zenodo.org/api/records/ 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.15 Will you use standardised formats for the described data? Yes data are archived in a .rar folder. 3.1.1.18 Are the file formats you will use open? Yes all files are .txt file formats. 3.1.1.20 Do supported open-source tools exist for accessing the data? No 3.1.1.22 Will you provide metadata describing the quality of the data? No 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? • Repository of Archive • Other Zenodo Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 https://zenodo.org/records/11120715 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No A software tool to open .rar files is required. 3.1.2.9 Will you also make auxiliary data that may be of interest to researchers available? no auxiliary data 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 3.1.4.7 Describe the data quality assurance processes Periodical calibration of the equipments, standardized procedure for sample peraration and analysis, replicated testings. 3.1.4.8 Will you provide any support for data reuse? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? No 4.1.3 Identify the people or roles that will be responsible for the management of the described data Sabrina Carola Carroccio (orcid: 0000-0002-9645-0369) Contact person 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage Zenodo 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time https://zenodo.org/records/11120715 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 1.3.1 - Quantitative (tabular data) and qualitative (text) data of agricultural plastic uses in Europe In order to analyse data concerning the agricultural plastic waste it is important to definr the agricutulral plastic used in Europe. Plastic is commonly used for: films for crop protection; nets; low tunnel films; soil mulching, solarization, and direct covering; bags and containers for pesticides, fertilizers and other agrochemicals; silage bags; irrigation pipes; ropes and strings. Descriptions of different plastic application are given in the dataset "Agricultural plastic uses in Europe". Agricultural plastic waste in Italy-Greece-Spain-Portugal - Image Agricultural plastic waste in Italy-Greece-Spain-Portugal - Dataset Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? • To obtain information • To make informed decisions 1.1.2 What are the types of the described generated/collected data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 sample or specimen data 1.1.3 What are the formats of the described generated/collected data? • Text files • Other .csv 1.1.4 What is the origin of the described data? Primary data 1.1.5 What is the expected size of the described data? KB (kilobyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes DataCite Metadata Schema 3.1.1.3 Will your metadata use standardised vocabularies? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes https://zenodo.org/oai2d 3.1.1.7 Will you use naming conventions for your data? No 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.15 Will you use standardised formats for the described data? No 3.1.1.18 Are the file formats you will use open? Yes .csv 3.1.1.20 Do supported open-source tools exist for accessing the data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes https://zenodo.org/records/11034413 3.1.2.3 How will the data be made available? Other Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records Papillons zenodo community 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 1.4.1 - Catalogue of microplastic test materials Task: Production of MNP reference materials PDF files containing written descriptions and images of test materials, figures and tabular data detailing the particle size distribution and chemical characterisation for each batch of test materials. Link to dataset: https://zenodo.org/records/12580519 Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Zenodo Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories https://zenodo.org/records/12580519 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 1.4.2 - Protocols for analysis of MNPs and chemical additives in soil samples, water samples, and biota samples. Task: A Harmonisation and further development of methods for the analysis of MNP in soil, water, biota Text files containing a written description of analytical procedures for microplastic isolation and analysis. These are currently under preparation for manuscripts describing method development work and are expected to be uploaded to the PAPILLONS Zenodo community by October 2024. Text files containing tabular data related to the method development work undertaken for the determination of plastic additves from soil associated with the manuscript "Novel strategies for the determination of plastic additives derived from agricultural plastics in soil using ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS)" under review in Science of the Total Environment. The dataset can be found on Zenodo, DOI: 10.5281/zenodo.10829115. Template: Horizon 2020 Type: Dataset Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.15 Will you use standardised formats for the described data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Other Zenodo https://zenodo.org/records/10829115) 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 2.2.1 - Micro and Nanoplastic contamination and distribution in soils from field plot case studies Task: Field plot experiments of MNP behaviour and transport Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting numbers and masses of micro and nanoplastics in European soils (including morphologic and chemical composition of particles • The dataset on “Plastic additive determination in soil collected from the field plot study” pertaining to sub-task “SubTask 2.2.1 - Micro and Nanoplastic contamination and distribution in soils from field plot case studies is currently completed in proportion of 50% percent covering the following elements: i) Pre-sampling samples from the German field plot ii) samples from Germany, Spain and Finland collected during 2022 iii) samples from Spain collected during 2023 The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 12/2024. The samples were collected by our PAPILLONS partners. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? Yes As implemented by zenodo 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes https://zenodo.org/oai2d 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.14 Please provide URL/Name for the used searchable metadata https://zenodo.org/ Zenodo 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Other Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 https://zenodo.org/ Zenodo 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 2.2.2 - Micro and Nanoplastic contamination and distribution in soils from climecs mesocosm experiments Task: Controlled mesocosms studies of MNP behaviour and transport Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting numbers and masses of micro and nanoplastics in European soils (including morphological and chemical composition of particles • The dataset on “Plastic additive determination in soil and lettuce collected within the frame of the mesocosm experiment” pertaining to sub-task “SubTask 2.2.2 - Micro and Nanoplastic contamination and distribution in soils from climecs mesocosm experiments” is currently completed in proportion of 40% percent covering the following elements: i) Soil samples collected during the CLIMECS 2 study ii) Soil samples collected during the CLIMECS 3 study iii) Lettuce samples collected during the CLIMECS 3 study The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 12/2024. The samples were collected by our partners in Vrije Universiteit Amsterdam. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 2.3.1 - Microplastic transport efficiency from runoff experiments Task: Transfer and behaviour of MNP to groundwater and surface water Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting estimators of the transport efficiency of microplastics during runoff experiments Dataset of microplastic mobilization rates in response to factors such as precipitation and crop development is under preparation. It pertains to task "2.3. MNP and additives transport to groundwater, surface water, air and uptake by biota and crop" and sub-task “Transfer and behaviour of MNP to groundwater and surface water”. The runoff experiment at the modified pinson collector (IMDEA) experiment is currently completed in proportion of 60 percent, covering the following elements: - Experimental development performed - Soil and water sampling performed - Sample treatment and analysis under development Infiltration and surface runoff water samples together with soil samples at different depths were collected from modified pinson collectors. Two experimental treatments (three replicates) were run. Film microplastics were added in all systems. Samples were collected during crop development and rainfall events. Bare soil was used as a control. Samples are being processed using FT-IR. Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Data estructure will include number of microplastics and their characterization in the samples collected to define the fate of such particles and their transport efficiency. The dataset on “Plastic additive determination in run-off water” pertaining to sub-task “SubTask 2.3.1 - Microplastic transport efficiency from runoff experiments” is currently completed in proportion of 20% percent covering the following elements: i) LC-MS method optimization ii) Run-off water samples analysis The samples were collected by our partners IMDEA. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is during 12/2024. Task: Lateral Microplastic Transport Clusters of tabular data (with metadata including variable labels, code labels, and definitions of missing values, along with experimental design descriptions) reporting the transport (count) of microplastic particles during runoff experiments. The dataset entails the transport of microplastics (MP) during heavy rainfall events, as a Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 function of slope gradients (1°, 3°, 9°) and tillage practices, utilizing eight independent soil-filled containers (approximately 80 x 80 x 20 cm). The soil was spiked with fieldrelevant concentrations (about 7 g/m², 50 mg/kg dw) of polyvinyl terephthalate (PET), polystyrene (PS), and tire wear (TW). Runoff from each container is collected to assess MP transport. MPs are either distributed onto the soil surface to simulate worst-case scenarios (Experiment 1) or integrated into the soil to enhance field relevance (Experiment 2). Both experiments have been conducted, with Experiment 1 samples currently undergoing analysis (approximately 25% complete). Analysis of Experiment 2 samples will follow. A third experiment is scheduled for late spring / early summer to investigate vegetation effects on lateral MP transport. Runoff will be collected and MP particles analyzed as in the previous experiments. For each experiment, samples are assigned consecutive numbers to minimize reference to specific treatments, thus reducing systematic errors in analysis. Datasets from all three experiments will be available to the PAPILLONS Zenodo community no later than December 2024. Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? • experimental (e.g., gene sequencing data) • Other Number of microplastics and their characterization together with additive concentrations in the samples collected from the runoff experiment 1.1.3 What are the formats of the described generated/collected data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 • Text files • Numerical 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? Yes As used by zenodo 3.1.1.5 Will you make the metadata available free-of-charge? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.1.6 Will your metadata be harvestable? Yes https://zenodo.org/oai2d 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.14 Please provide URL/Name for the used searchable metadata https://zenodo.org/ 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records Papillons zenodo community 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 4.1.1 - Ecotoxicology of MNPs on plant cells, seeds and emerging plants Task: Ecotoxicology of MNPs on plant cells, seeds and emerging plants Clusters of tabular data of plant cell responses, seed germination, plan growth and quality (several endpoints) (with metadata including variable labels, code labels and definition of missing value, experimental design description) Publication and dataset Zantis et al. 2023. Nanoand microplastics commonly cause adverse impacts on plants at environmentally relevant levels: A systematic review: https://doi.org/10.1016/j.scitotenv.2022.161211, https://zenodo.org/records/10361822 Adamczyk, S. (2023). Raw data for the publication: Polystyrene nanoparticles induce concerted response of plant defense mechanisms in plant cells, Scientific Reports (13): 22423. Suspension culture: https://doi.org/10.1038/s41598-023-50104-5, https://zenodo.org/records/10853055 Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Method paper: https://doi.org/10.1016/j.jbiotec.2023.07.008, https://zenodo.org/records/10210187 Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? sample or specimen data Nanoand microplastics commonly cause adverse impacts on plants at environmentally relevant levels: A systematic review: a) Studies collected under a systematic literature search through two online publication databases (Web of Sciences and PubMed); b) trained personell and validated methods ; c) Studies were regrouped in three categories: 1) seed germination and ealry development, 2) Plant growth and 3) Biochemical biomarkers. Effects were recorded at the Lowest Observable Effect Concentrations (LOEC) for each observation. Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Polystyrene nanoparticles induce concerted response of plant defense mechanisms in plant cells | Scientific Reports : Suspension culture: Treatment, timepont and plant species information. Activity of glutathione ascorbate cycle and other biochemical indicators such as lipid peroxidation, production of secondary compounds, and stress hormones. 1.1.3 What are the formats of the described generated/collected data? Numerical 1.1.4 What is the origin of the described data? Secondary data 1.1.5 What is the expected size of the described data? KB (kilobyte) less than a megabyte 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes The data is described in detail in the publications that are openly available on Zenodo Couldn't find it? Insert it manually 3.1.1.2 Please provide URL/Location describing the used metadata schema a. https://zenodo.org/records/10361822 Zenodo b. https://zenodo.org/records/10853055 Zenodo 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.7 Will you use naming conventions for your data? No 3.1.1.9 Will you provide clear version numbers for your data? No 3.1.1.10 Will you provide persistent identifiers for the described data? Yes zenodo identifiers 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes Zenodo Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.1.13 What services will you use to provide searchable metadata? Metadata repository 3.1.1.14 Please provide URL/Name for the used searchable metadata https://zenodo.org/communities/papillons/records 3.1.1.15 Will you use standardised formats for the described data? No 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes Excell files can be read by open office etc. 3.1.1.22 Will you provide metadata describing the quality of the data? No 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive https://zenodo.org/communities/papillons/records Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 a. https://zenodo.org/records/10361822 Zenodo b. https://zenodo.org/records/10853055 Zenodo 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.2.9 Will you also make auxiliary data that may be of interest to researchers available? no auxiliary data 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 3.1.4.8 Will you provide any support for data reuse? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? No data uploaded at publication of each article to zenodo, no management after that required 4.1.3 Identify the people or roles that will be responsible for the management of the described data a. Laura Zantis (orcid: 0000-0002-8682-8727) Corresponding author b. Sylwia Adamczyk (orcid: 0000-0002-9051-9302) Corresponding author 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage Zenodo 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time Zenodo and Project TEAMS folder Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 4.1.2 - Plant performance in MNP-Soil-Plant system Task: Plant performance in MNP-Soil-Plant system •Species-dependent responses of crop plants to polystyrene microplastics •Contrasting the Impact of Biodegradable and Traditional Microplastics from Mulch on Crop Growth, Pot plant experiment Biodegradable microplastics induce profound changes in lettuce (Lactuca sativa) defense mechanisms and to some extent deteriorate growth traits in mesocosm experiment. CLIMECS1: Treatment and timepont information. Effects on basic traits tests such as biomass, growth, and biomass allocation (plant tissue ratio), Necrotic tissue and Specific leaf area. Stochiometric ratios (e.g. C:N), Dry weight percentage and Chlorophyll. Biochemical indicators such as DNA methylation, Lipid peroxidation, Production of secondary compounds, Generation of reactive oxygen species, Activity of glutathione ascorbate cycle, Abscisic and Salicylic acid stress hormones. CLIMECS 3: Impacts of conventional and biodegradable microplastics on lettuce under realistic exposure conditions (in progress) Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 https://zenodo.org/communities/papillons/records 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 3.1.4.8 Will you provide any support for data reuse? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? No 4.1.3 Identify the people or roles that will be responsible for the management of the described data a. Laura Zantis (orcid: 0000-0002-8682-8727) Corresponding author b. Sylwia Adamczyk (orcid: 0000-0002-9051-9302) Corresponding author 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 4.1.3 - Relevance of environmental factors on MNPinduced effects on plant performance Task: Relevance of environmental factors on MNP-induced effects on plant performance Clusters of tabular data of plant growth and qualuty (several endpoints) (with metadata including variable labels, code labels and definition of missing value, experimental design description) Field experiment: Impacts of conventional and biodegradable microplastics on barley under field conditions in three pedoclimatic regions (in progress) Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Field experiment: Impacts of conventional and biodegradable microplastics on barley under field conditions in three pedoclimatic regions (in progress) Datasets will be provided accordingly: a) barley samples collected during field experiments, b) trained personell, validated methods, well equipped laboratories, internal stanndards when needed, c)Field experiments: Treatment and timepont information. Effects on basic traits tests such as biomass, growth, and biomass allocation (plant tissue ratio), Necrotic tissue and Specific leaf area. Stochiometric ratios (e.g. C:N), Dry weight percentage and Chlorophyll. Biochemical indicators such as lipid peroxidation, Production of secondary compounds, Activity of glutathione ascorbate cycle, Salicylic acid stress hormones. 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.2 Will the described data be openly accessible? Yes 3.1.2.3 How will the data be made available? Repository of Archive 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Task 4.2 - Data and results of the socio-economic costbenefit analysis from three European case studies Task 4.2: Socio-economic sustainability of AP Clusters of tabular data corresponding to the three socio-economic cost-benefit analysis carried out at farm level in three European case studies. Datasets current status: As Task 4.2 started recently, we are in the preparatory phase of designing data collection, defining boundaries and limitations of the analysis, etc. Expected delivery date: The expected delivery date of the corresponding datasets on PAPILLONS Zenodo Community is April 2025. Datasets description: Costs and benefits will be identified as comprehensively as possible, and delineated in terms that are measurable, in terms of impacts on farm economics. Three European case studies will be selected considering the data provided by WP1 and the inputs from stakeholders (e.g. Agricultural Plastics Europe, farmer organisations) via a questionnaire-based survey and expert interviews (as needed in the different stages of the cost-benefit analysis). Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 To obtain information 1.1.2 What are the types of the described generated/collected data? Other Sample or specimen data, observational (data from survey), data elicited from experts, data from systematic literature review 1.1.3 What are the formats of the described generated/collected data? • Text files • Numerical • Models 1.1.4 What is the origin of the described data? Other Primary and secondary data 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers • Economy • The public • Industry 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? No 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Task 2.1 - Micro and Nanoplastic contamination in European agricultural soils Task: MNP source apportionment in European agricultural soils Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting numbers and masses of micro and nanoplastics in European soils (including morphological and chemical composition of particles) and numbers and polymer type of macroplastics. Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting plastic additive determination in soils collected within the frame of the European Spatial Survey. This dataset is currently completed in proportion of 70% percent covering the following elements: i) Soil samples collected from Germany, Czech Republic, Italy, Spain, Greece, Norway & Finland The samples were collected by our PAPILLONS partners. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods. Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Clusters of tabular data with metadata including variable labels, code labels and definition of missing value) reporting numbers and masses of microplastics in earthworms sampled in European soils (including morphological and chemical composition of particles). The datasets are available on Zenodo (https://doi.org/10.5281/zenodo.12568119) Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information 1.1.2 What are the types of the described generated/collected data? Other 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes 3.1.1.3 Will your metadata use standardised vocabularies? Yes 3.1.1.5 Will you make the metadata available free-of-charge? Yes 3.1.1.6 Will your metadata be harvestable? Yes https://zenodo.org/oai2d 3.1.1.7 Will you use naming conventions for your data? Yes 3.1.1.9 Will you provide clear version numbers for your data? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.1.10 Will you provide persistent identifiers for the described data? Yes 3.1.1.11 Persistent identifiers DOI 3.1.1.12 Will you provide searchable metadata for the described data? Yes As implemented on zenodo with rest api access and ui access 3.1.1.13 What services will you use to provide searchable metadata? Registry/Catalogue 3.1.1.14 Please provide URL/Name for the used searchable metadata https://zenodo.org/records/12568119 Zenodo 3.1.1.15 Will you use standardised formats for the described data? Yes 3.1.1.18 Are the file formats you will use open? Yes 3.1.1.20 Do supported open-source tools exist for accessing the data? Yes 3.1.2 Making data openly accessible 3.1.2.1 Are there ethical or legal issues that can impact sharing the described data? No 3.1.2.2 Will the described data be openly accessible? Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 Yes 3.1.2.3 How will the data be made available? Repository of Archive Couldn't find it? Insert it manually 3.1.2.4 Please provide URL/Name of used data repositories https://zenodo.org/communities/papillons/records Zenodo papillons community 3.1.2.5 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures? secure with backup and recovery 3.1.2.6 Are there any methods or tools required to access the described data? No 3.1.3 Making data interoperable 3.1.3.1 Will you use a controlled vocabulary for the described data? No 3.1.3.2 Will you provide a mapping to more commonly used ontologies? No 3.1.4 Increase data reuse 3.1.4.1 When do you plan to make thedescribed data available for reuse? after article publication 3.1.4.5 Do you have documented procedures for quality assurance of the described data? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 4 Allocation of resources 4.1 Allocation of resources 4.1.1 How will the cost of making the described data findable, accessible, interoperable and reusable be covered? Collaboration with other Projects 4.1.2 Will you identify a data manager to manage the described data? If not who will be responsible for the management of the data? Yes 4.1.4 How do you intend to ensure data reuse after your project finishes? Data Center Archive Storage 5 Data Security 5.1 Data Security 5.1.1 Where do you plan to keep the described data? Kept on secure, managed storage for limited time 6 Ethical aspects 6.1 Ethical aspects 6.1.1 Are there any ethical or legal issues that can have an impact on data sharing? No 6.1.2 Are the described data sensitive? No 6.1.3 Are the described data personal? No 7 Other 7.1 Other 7.1.1 Do you make use of other procedures for data management? No Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 SubTask 2.3.1 - MNP transport through soils under variable saturation conditions Task: Transfer and behaviour of MNP to groundwater and surface water Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value, experimental design description) reporting estimators of the transport efficiency of micronanoplastics during infiltration through soils and breackthrough curves in column experiments under variable saturation conditions. https://zenodo.org/doi/10.5281/zenodo.10887824 https://zenodo.org/doi/10.5281/zenodo.10932192 https://zenodo.org/doi/10.5281/zenodo.10931958 Template: Horizon 2020 Type: Dataset 1 Data Summary 1.1 Data Summary 1.1.1 What is the purpose of the data collection/generation and its relation to the objectives of the project? To obtain information Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025 1.1.2 What are the types of the described generated/collected data? • experimental (e.g., gene sequencing data) • Other Concentrations of micronanoplastics from the column outlet in soil column experiments during time generating experimental breakthrough curves. 1.1.3 What are the formats of the described generated/collected data? Text files 1.1.4 What is the origin of the described data? Other 1.1.5 What is the expected size of the described data? MB (megabyte) 1.1.6 To whom might it be useful ('data utility')? • Researchers • Research communities • Decision makers 2 Reused Data 2.1 Reused Data 2.1.1 Are you re-using the described data and how? No 3 FAIR Data 3.1 FAIR Data 3.1.1 Making data findable, including provisions for metadata 3.1.1.1 Will you use metadata to describe the data? Yes Data Management Plan | Papillons Data Management Plan LICENSE:CC-BY-4.0 DOI: - 01/10/2025