Love your Data! Supporting RDM at the Leibniz FLI

Jeanne Wilbrandt, Leibniz Institute on Aging (FLI) Love your Data! 2025-10-29 7. FDM-Workshop der MPG MPI für evolutionäre Anthropologie, Leipzig SUPPORTING RDM AT THE LEIBNIZ FLI Jeanne Wilbrandt — [email protected] 2025-10-29 2 TODAY’S OBJECTIVES i Institutional Data Steward Perspective i What I (Can) Do i (Measuring) Institutional Commitment? Jeanne Wilbrandt — [email protected] 2025-10-28 COMMON SITUATION? 3 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? Jeanne Wilbrandt — [email protected] 2025-10-29 CLICK HERE TO ENTER TEXT 4 Jeanne Wilbrandt — [email protected] 2025-10-29 RESEARCH DATA MANAGEMENT 5 "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 * All (digital) data that are used or produced in the research process or are its result Jeanne Wilbrandt — [email protected] 2025-10-29 KNOWN PERSONAL HURDLES 6 ‣Where would I start? ‣What do I need to do? ‣Can this be made easier? ‣I do not have time for this… ‣I do not get credit for RDM… ‣Nobody told me I should do it. Jeanne Wilbrandt — [email protected] 2025-10-29 DATA STEWARDS AS GUIDES 7 Data Stewards embedded in the work environment and with domain knowledge can offer researchers tailored support. They help to define, facilitate, and adopt good RDM. Jeanne Wilbrandt — [email protected] 2025-10-28 8 INSTITUTIONAL DATA STEWARD Jeanne Wilbrandt — [email protected] 2025-10-29 9 DATA STEWARDSHIP? https://zenodo.org/record/3460552 Towards FAIR Data Steward as profession for the Lifesciences Scholtens et al. 2019 DOI: 10.5281/zenodo.3471708 Aligning researcher’s needs and required data infrastructure Aligning researcher’s data handling and data policies Data Steward ➞ Data Manager Quality control & handling Data Scientist Knowledge extraction Data Consultant IT solutions Aligning data policies and features of data services and infrastructures Alignment Translation Support Jeanne Wilbrandt — [email protected] 2025-10-29 DATA STEWARD IN ACTION •Intro RDM •Love your Data! •Coffe Lectures & Espresso Shots •Workshops •DMPs: Keep your Project on Track! & Let’s make a Plan! •Data Organization •Daten (nach)nutzen: FAIR, aber wie? (Vorlesung) •Gamification in RDM Training / Talks 16 •Research Data Alliance (RDA) •ELIXIR RDM Community •DINI/nestor AG FDM UAG Schulungen/ Fortbildungen •Train the Trainer & Follow Ups •Kollegiale Beratung •NFDI4Microbiota, NFDI Section EduTrain, NFDI4Base •RDM Regulars Jena •Fellowship of the Data: 21.-22.09.2026! Networks 0000-0002-0363-3837 Jeanne Wilbrandt — [email protected] 2025-10-29 EXPERIENCES •Pilot: requirement analysis / interviews need delicate handling •Visibility is key •Costs time and resources •External and internal visibility require differing actions •Image / perception •Demand for consultation rises slowly •External demand for workshops rises quicker 17 •I do not touch data •I do not police you •You need to decide for yourself what works best •Relevance? Jeanne Wilbrandt — [email protected] 2025-10-29 LESSONS LEARNED 18 •Demand needs binding directives •Data Steward is an Agent of Change •Cultural change takes time •Every institute needs a Data Steward to support RDM •Component of trust Jeanne Wilbrandt — [email protected] 2025-10-29 GRP / RDM POLICY IMPROVING RDM & STEWARDSHIP 19 FLI SELF-ASSESSMENT ON- & OFFBOARDING DMPS RDM TRAININGS RDM CHAMPIONS BONUS SYSTEM DATA PACKAGE CHECKS ARCHIVE WITH METADATA TOOLS & TEMPLATES CF DATA TRANSPARENCY AUTOMATED METADATA ASSOCIATION INTRANET & MOODLE DIALOG: AWARENESS & MEASURES RDM EVENTS RDM STORIES Measures Communication Providing — Involved but suboptimal — Out of Scope Jeanne Wilbrandt — [email protected] 2025-10-29 INSTITUTIONAL POLICIES 20 •RDM and best practices explicitly added to guidelines of Good Research Practice Jeanne Wilbrandt — [email protected] 2025-10-29 AWARENESS 21 Good Research Practice Includes ... Love your Data! Make sure Your Data is Safe, Understandable, Well Documented, and Ready for Publication! “Everything you Need to Know [about my Data] is in the Article!” Working Reproducibly is Good for You! Please feel free to get in touch for any question around Research Data Management! Best Practices? Tools? Data Management Plan? Get that grant! File Organization? Find everything quickly! FAIR & Open? Make your data reusable! Data Publication? Get cited! Documentation? Remember and communicate what you did! CF LSC More support! Common (?) Scenario How? 5 Selfish Reasons Why? Jeanne Wilbrandt Data Steward ... Good Research Data Management Your Support at FLI Data Sharing and Management SNAFU in 3 Short Acts by NYU Health Sciences Library Youtube Video, 5 min https://www.youtube.com/embed/66oNv_DJuPc?autoplay=1&start=0&rel=0 Markowetz, F. Five selfish reasons to work reproducibly. Genome Biol 16, 274 (2015). https://doi.org/10.1186/s13059-015-0850-7 FLI Data Steward Website https://www.leibniz-fli.de/research/ good-scientific-practice/data-steward-at-fli Intranet Core Facility Life Science Computing http://lifesci.scinet.fli-leibniz.de/index.html Harvard Biomedical Data Management https://datamanagement.hms.harvard.edu/ Guidelines of Good Research Practice at the Leibniz Institute on Aging – Fritz Lipmann Institute (2023). Zenodo. https://doi.org/10.5281/zenodo.8276433 •Roll-Up, placards, poster •RDM as normal sight of daily work life •Instigate thought and reflection •Remind of available support Jeanne Wilbrandt — [email protected] 2025-10-28 FOLDER STRUCTURE TEMPLATE 22 Demerdash, Dockhorn & Wilbrandt (in rev.) Data Organization Made Easy: Comprehensive Folder Structure Template for Early Career Life/Natural Science Researchers. FST at DOI: 10.5281/zenodo.15835125 Goal: Provide Building Blocks ✓For PhD candidates, but adaptable and modular ✓Following RDM Best Practices ✓Guidance, metadata README templates Jeanne Wilbrandt — [email protected] 2025-10-28 OFFBOARDING 23 Knowledge Transfer File •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 Jeanne Wilbrandt — [email protected] 2025-10-28 24 COMMITMENT Jeanne Wilbrandt — [email protected] 2025-10-29 POTENTIAL INSTITUTIONAL HURDLES 25 ‣We are doing well enough as is. ‣We have more pressing things to do. ‣We have no time/money left for this. ‣We are not prepared to support and control RDM. ‣We do not get credit for RDM… ‣Nobody else it doing it. Jeanne Wilbrandt — [email protected] 2025-10-29 SUMMARY 32 •Commitment needs binding directives and incentives •Data Steward is an Agent of Change •Cultural change takes time •Every institute needs at least one Data Steward to support RDM — more to develop •Institutional and thus individual commitment benefits from RDM in curricula (university commitment) 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 33 THANK YOU FOR YOUR ATTENTION!