Educators:
- Lucia Vedder (FAIRagro, University of Bonn)
- Helena Schnitzer (CAU / Forschungszentrum Jülich GmbH)
- Sophie Boße (FAIRagro, ZB MED)
- Wahib Sahwan (FAIRagro)
- Antonia Leidel (IPK)
- Danuta Schüler (IPK)
- Anja Hartmann (IPK)
- Daniel Arend (GCBN / IPK)
- Mary-Ann Ebeling (IPK)
- Theodor Strauch (IPK)
- Jagadeeshwar Reddy Etukala (IPK)
- Matthias Lange (IPK)
Date:
14–17 December 2026 (14 Dec: [afternoon time]; 15–17 Dec: 09:00–12:00 CET)
Location:
Online (Zoom)
Contents:
- Day 1, RDM basics: research data, data lifecycle, FAIR principles; finding and reusing data, licences; data organisation, storage and backup; electronic lab notebooks (ELNs); data publication and repositories; data protection
- Day 2, Data management plans: what a DMP is and how to write one; DMP tools (DataPLAN, DSW, RDMO with IPK templates); DMP4NFDI and machine-actionable DMPs; IPK DMP examples
- Day 3, IPK LIMS: introduction to the IPK Laboratory Information Management System; practical examples (sequencing, ELN) data publication with e!DAL-PGP
- Day 4, ARC fundamentals: introduction to Annotated Research Contexts (ARCs); building ARCs from IPK LIMS data.
Learning goals:
- explain the research data lifecycle and the FAIR principles
- find, reuse and license research data appropriately
- organise, document, store and back up their data
- write a data management plan using suitable tools and IPK templates
- use the IPK LIMS to register and document data
- publish data in suitable repositories such as e!DAL-PGP
- structure their research data as ARCs and create ARCs from LIMS
Prerequisites:
No prior RDM knowledge required. Participants need a laptop with a stable internet connection and Zoom.
Keywords:
Research data management, FAIR principles, data management plans, DMP, ELN, LIMS, data publication, repositories, ARC, Annotated Research Context, plant research
Tools:
RDMO, DataPLAN, Data Stewardship Wizard (DSW), DMP4NFDI, IPK LIMS (LIMSOPHY), e!DAL-PGP, ARCitISA, PlantDataHub
Contact:
Jagadeeshwar Reddy Etukala -