Jeanne Wilbrandt The A and O of Loving your Data 2025-10-28, FLI WiP Your FLI Data Steward proudly presents NEW DEVELOPMENTS FOR PROJECT START AND END
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[email protected] 2025-10-28 2 TODAY’S OBJECTIVES i Refresh Research Data Management (RDM) Basics i A: Start with a Folder Structure i O: End with Knowledge Transfer
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[email protected] 2025-10-28 3 RDM REFRESHER
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[email protected] 2025-10-28 COMMON SITUATION? 4 Data Sharing and Management SNAFU in 3 Short Acts by NYU Health Sciences Library (DOI: 10.6084/m9.figshare.8061722.v1) (How) Can I use your data?
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[email protected] 2025-10-28 A F FAIR PRACTICE? — PROBLEMS 5 “Everything you need to know is in the article.” “That [USB-Stick] is my only copy.” “You will need the program that created the hexadecimal file!” “I am not sure where my data is!” i Dataset not fit for use … no standard format … no metadata, no license … no ID, not indexed … no defined access protocol
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[email protected] 2025-10-28 GOALS OF RDM & FAIR DATA 6 What are goals of Research Data Management and the FAIR data principles? ‣Please follow the QR-code: https://www.menti.com Code: 4840 1589
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[email protected] 2025-10-28 GOALS OF RDM & FAIR DATA 7 "Research data management (RDM) [has] the common goal of making the data ‣accessible, ‣reusable and ‣verifiable in the long term and independent of particular people." forschungsdaten.info FAIR
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[email protected] 2025-10-28 CREATE & PUBLISH FAIR DATA 8 Data should be… … understandable! ‣Tidy content ‣Documented and described ‣Organized files Best Practices help… … to work smarter! ‣Find your files fast ‣Ease collaboration ‣Match journal / repository guidelines Supported by Best Practices Implemented in tools Slides: RDM Tools
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[email protected] 2025-10-28 THEORY TO PRACTICE? 9 We want ✓Nicely labelled tidy data with ✓Extensive metadata in ✓Understandable folder structure TemplateS?
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[email protected] 2025-10-28 DESIGNED AS A STARTING POINT 16 Helps to ‣Start from something ‣Sort and find all kinds of files ‣Produce publication-ready, FAIR enough data ‣Identify relevant resources Encourage to ‣Mix & match: Adapt to your needs ‣Use as inspiration ‣Adopt habits that suit your work ‣Talk with your peers
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[email protected] 2025-10-28 17 END — KNOWLEDGE TRANSFER
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[email protected] 2025-10-28 WHAT IS LEFT BEHIND? 18 DOI: 10.1016/j.isci.2023.107166 (2023) Nice unpublished data package, but… •which project(s) did it belong to? •where is it stored? •who has access rights? •which freezer box holds the samples? •where is the documentation? Template? DOI: 10.2777/02999 (2018) „…costs the European economy at least € 10.2bn every year.” If you leave, can someone take over?
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[email protected] 2025-10-28 KNOWLEDGE TRANSFER FILE (KTF) 19 Why? •Researchers leaving Where is their data, who has access, what’s in the fridge??? •Comprehensive record esp. of unfinished work •„Do it properly, just once!“ What is covered? •All projects, grants •Wet-lab work •Assumes ELN usage •Digital (meta)data •Analogous data (samples, reagents, …)
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[email protected] 2025-10-28 KTF — CONTENT 20 What is asked? •Team and researcher information •Deadlines •About the KTF (Purpose, Usage, Imprint, History) •Checklist •Tables/text fields with explanations for: 1. Projects, funding, collaborators 2. Data documentation 3. Data location and organization 4. Published and/or publicly shared data, tools, reagents, and organisms 5. Unpublished manuscripts, data, and tools 6. Additional files and documentation 7. Laboratory materials 8. Comments DOI: 10.5281/zenodo.17341188
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[email protected] 2025-10-28 21 OUTRO Document! Document! Document! And a cookie!
Jeanne Wilbrandt —
[email protected] 2025-10-28 … REMEMBER RDM IS HELPFUL 22 Documentation Conventions and Standards Labelling File organization Metadata Backups RDM Benefits hand-over and publication! Easier when planned! Consider: ‣Structures free your brain ‣You will forget things ‣Ask peers & data stewards
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[email protected] 2025-10-28 CONSIDER ADOPTION 23 KTF ‣Try it? ‣Part of Onboarding? ‣Group specific templates? DOI: 10.5281/zenodo.17341188DOI: 10.5281/zenodo.15835125
If not stated otherwise, CC-BY 4.0 International License Love your Data! No data is perfect — Love is a journey Jeanne Wilbrandt FST Survey 24 THANK YOU FOR YOUR ATTENTION!