FAIR data management basics
Abstract
Training course for GlyCanDrug Seville Nov. 21 2025 (with InnovationActa). This course focuses on data management basics, as “good research needs good data”. The modules will follow the 3-step concept, according to the principle “as open as possible, as closed as necessary”: a) manage your data b) make them FAIR c). whenever possible, make them Open. Further, the course emphasizes development of skills related to data stewardship, which is crucial in the making of the EOSC, as FAIR data are EOSC’s building blocks. Module 1: data management Module 2: FAIR principles + Open Module 3: Data Management Plans
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FAIR data basics Elena Giglia Soft Skills courses Sevilla 3rd conference –November 20th/21st, 2025 FOR
FAIR data basics This work is licensed under a Creative Commons Attribution 4.0 International License.. Photos are mine. Feel free to reuse from Flickr/eg65 Elena Giglia [email protected] @elegiglia.bsky.social ORCID Seville, Nov. 21, 2025
STEP #2 DATA FAIR BY DESIGN
…please remind Horizon Europe MANAGING DATA IN A RESPONSIBLE WAY ACCORDING TO THE FAIR PRINCIPLES IS ONE OF THE MANDATORY PRACTICES YOU NEED TO GIVE AN OVERVIEW OF YOU DMP (1 PAGE) IN THE EXCELLENCE SECTION OF THE PROPOSAL
…FAIR means [for machines] •IDENTIFIERS •METADATA FINDABLE •LICENSES •DOCUMENTATION REUSABLE •WHERE TO FIND THE DATA AND UNDER WHAT ACCESS CONDITIONS •NOT «OPEN» •OPEN FORMATS ACCESSIBLE •STANDARDS •ONTOLOGIES INTEROPERABLE FAIR guide, Nature, March 2016 MACHINE-READABLE
FAIR principles 2022 ORIGINAL INTERPRETATION 2020 NO MISTAKES!
FAIR in a nutshell https://www.ands.org.au/working-with-data/fairdata/training
Making Open Science a reality, OECD, 2015 FAIR object
FAIR digital object 2020
How to / FAIR connect https://fairconnect.pro/
How to / FAIR connect
FAIR cookbook RECIPES TO MAKE YOUR DATA FAIR FAIRcookbook
FAIR toolkit PISTOIA ALLIANCE FAIR TOOLIKT [PHARMA] FAIR toolkit Clinical trials FAIR4clin
How / FAIRification mapping https://worldfair-project.eu/
To check your FAIRness https://fairassist.org/#!/
THIS IMAGE CREATED BY Noa, Anna, Lilian e Charlotte PERFECTLY SHOWS WHAT «MAKING DATA FAIR» MEANS How-to
F = Findable. Metadata Metadata DATA THAT DESCRIBE OTHER DATA (PHYSICAL OR DIGITAL)
F = Findable. Metadata Metadata DIFFERENT LEVELS OF METADATA (COLLECTION, ITEM, SUB ITEM)
F=Findable – Metadata Metadata standars catalog Openrefine CEDAR FAIRcookbook Frictionless
I –Interoperable - ontologies 2020 WHY WE NEED ONTOLOGIES FOR THE «I» IN FAIR
I = Inteoperable. Ontologies https://www.ebi.ac.uk/ols4 OLS –ONTOLOGY LOOKUP SERVICE FOR BIOMEDICAL FIELDS Bioportal
Esempi FAIR / 1 / dati e ontologie Sara Zullino in Giglia, E. FAIR DATA Basics 3rd Module (ISPAS)_part_2.mp4 (video) From 1.40.00 https://doi.org/10.5281/zenodo.5537468
R = Reusable. Documentation DOCUMENTATION (README FILE) TO - AVOID MISUSE/MISINTERPRETATION - KEEP INTEGRITY CESSDA guide RDM elixir ELN RDM Elixir
R = Reusable –Legal aspects How do I know How do I license Can I use
R –Reusable –Legal aspects COMPREHENSIVE GUIDE ON LEGAL ASPECTS 2024
Complete guidance 2023
STEP #3 OPEN DATA
UNESCO, AI and Open data 2023
…the waste… 2024
THANKS!