Archiving and Publishing FAIR Research Data

https://i.ntnu.no/researchdata Archiving and Publishing FAIR Research Data 20.11.2025 Link to the presentation: DOI: 10.5281/zenodo.17651462 Emma Louise Walton | NTNU University Library | [email protected] 3 •Understand why archiving research data is important •Identify key criteria for selecting an appropriate archive (aka repository) for your research data •Be familiar with the FAIR principles and how to apply them when archiving your research data Learning objectives 4 •Meet expectations and requirements from funders, journals, and NTNU •Enhance the transparency of your research and support reproducibility •Ensure future access to data •Encourage reuse of data •Increases the impact, reach and visibility of your research Why archive research data? 5 Research Data Management Lifecycle open archiving facilitates reuse of data → new research and innovation 6 Important underlying principles ‘As open as possible, as closed as necessary’ 7 Important underlying principles Findable Accessible Interoperable Reusable →the FAIR principles ‘As open as possible and as closed as necessary’ 8 Archived datasets NTNU Open Research Data (DataverseNO) will be used as the primary example today 9 •Check first the policy from your institution, funder, or journal: – Horizon Europe: beneficiaries must “give information…about any research output that is needed to verify the conclusions of a scientific publication” – NTNU: “Data that might have long-term value should be archived and made available” •Tip: think about what is necessary to validate your published results AND what might be useful for future researchers (e.g., metadata, raw data, processed data, interview guides, lab protocols, images…) •You also must decide what should be restricted or deleted (e.g., personal data) •If you have reused third-party data, you must comply with defined licenses and terms of reuse •Research data should be archived as early as (practically) possible →often this is during publication of a related article at the end of the research project Selecting what and when to archive 16 Keep in mind: FAIR data does not necessarily mean open data Making your research data Accessible EMBARGOED The data can not be accessed until the end of a specified time period MEDIATED Others apply for access to the data and access is approved by the researcher(s) or by a nominated data custodian CLOSED A record of the data is published, but access to the data is not granted OPEN The data is freely available and accessible by anyone 18 •If your dataset contains personal data and cannot be anonymized, archiving with restricted access, e.g. through SIKT may be an option, provided that the data is pseudonymized/de-identified and the participants have consented to this •In DataverseNO, only fully anonymized can be published, and (in general) only if the participants were informed about this →At NTNU, we will ask you to fill out a form to clarify and document these aspects Making your research data Accessible 19 •Choose a repository that can be accessed and downloaded from in the long term •Metadata and data should be accessible via the persistent identifier using a standard communication protocol (e.g., http or https) •Archive your dataset with the appropriate access conditions (e.g., open, embargoed, mediated, closed) •Choose a repository that has sufficient authentication and authorization procedures such that the access conditions are respected as well as clear to both humans and computers Making your research data Accessible 20 •Both metadata and data should use standard formats and vocabularies •Provide as much context as possible to your dataset Making your research data Interoperable 21 Making your research data Interoperable https://site.uit.no/dataverseno/deposit/prepare/ •Standardized, open and nonproprietary file formats are key for long-term interoperability •Within the individual files, use standardized vocabulary for your research field 22 DataverseNO guidelines for file naming Files must be named consistently File names must be descriptive, but short (< 25 characters) Do not use spaces. Instead, use underscores (e.g. first_study), hyphens (e.g. first-study) or camel case (FirstStudy) Avoid special characters like: \ / ? : * ” > < | : # % ” { } | ^ [ ] ` ~ æÆ øØ åÅ äÄ öÖ Use the international date convention YYYY-MM-DD (e.g. 2017-10-25) The name of a file in original file format must be identical with the name of the corresponding file in preferred file format Making your research data Interoperable Ensure that your files are logically structured and named 23 •It should be well documented how your data were collected and how they were processed –Who created the data –What the data files contain –When the data were generated –Where the data were generated –Why the data were generated –How the data were generated •This is accomplished by adding rich metadata and a detailed ReadMe-file •Add a suitable license (preferably a permissive license like CC0 or CC BY) and make sure that the terms of reuse are readable for both humans and machines Making your research data Reusable 24 Demonstration of NTNU Open Research Data (DataverseNO) More resources This work is licensed under a Creative Commons Attribution 4.0 International License. •NTNU’s pages about publishing: https://innsida.ntnu.no/publisering •NTNU’s pages about research data: https://innsida.ntnu.no/researchdata •NTNU’s pages about research data repositories: https://i.ntnu.no/wiki/-/wiki/English/Research+data+repository •NTNU Open Data (DataverseNO): https://i.ntnu.no/wiki/-/wiki/English/NTNU+Open+Data [email protected] Thank you for your attention! https://nettskjema.no/a/447799 Your Feedback is Important to us !