RDM fundamentals

Dominik Brilhaus
Sept 20th, 2023

Legal aspects of RDM

Different laws touched by RDM

Hartmann, Thomas. (2019). Rechtsfragen: Institutioneller Rahmen und Handlungsoptionen für universitäres FDM. Zenodo. https://doi.org/10.5281/zenodo.2654306

Open Access (OA) categories

• Gold: Published in an open-access journal that is indexed by the DOAJ.
• Green: Toll-access on the publisher page, but there is a free copy in an OA repository.
• Hybrid: Free under an open license in a toll-access journal.
• Bronze: Free to read on the publisher page, but without a clearly identifiable license.
• Closed: All other articles, including those shared only on an Academic Social Network or in Sci-Hub.

Piwowar H et al. (2018), PeerJ https://doi.org/10.7717/peerj.4375

Open Science is more than Open Access

Okafor et al. (2022) https://doi.org/10.3389/frma.2022.855198, Figure 1

Creative commons

Check out: https://creativecommons.org/about/cclicenses/

adapted from https://wiki.creativecommons.org/images/0/01/6licenses-folded.pdf

Data protection

GDPR: General Data Protection Regulation
DS-GVO (german): Datenschutz-Grundverordnung

Use of biological materials

• MTA: material transfer agreement
• Nagoya Protocol: https://www.cbd.int/abs/about/
• DSI: Digital sequence information

FAIR and CARE

https://www.gida-global.org/care

CARE principles

https://datascience.codata.org/articles/10.5334/dsj-2020-043/

Research Data policies

Hiemenz, Bea & Kuberek, Monika (2018) http://dx.doi.org/10.14279/depositonce-7521

CEPLAS relevant data handling guidelines & policies

• Deutsche Forschungsgemeinschaft (2015): DFG Guidelines on the Handling of Research Data
• Amtliche Mitteilungen der Universität zu Köln AM 07/2018: Leitlinie zum Umgang mit Forschungsdaten
• Amtliche Bekanntmachung der Heinrich-Heine-Universität Nr. 43/2022: Forschungsdaten-Richtlinie
• Leitlinie zum Umgang mit Forschungsdaten im Forschungszentrum Jülich 05/2019
• Senat der Max-Planck-Gesellschaft (2009): Regeln zur Sicherung guter wissenschaftlicher Praxis

The Data Management Plan (DMP)

• Covers the full research data lifecycle
• Frequently updated as your project develops
• Required to different extents by funding agencies (e.g. DFG, Horizon Europe, BMBF, BMEL, ... )

DMP tools

• Data Stewardship Wizard https://ds-wizard.org/
• RDMO https://rdmorganiser.github.io/ (e.g. https://rdmo.hhu.de)
• Dataplan: https://dmpg.nfdi4plants.org

Check out the Elixir RDMkit for more

Public data repositories

Domain-specific data repositories

Choosing a data repository

Domain-specific >> Generic >> Institutional

Find repositories at:

• https://www.re3data.org
• https://fairsharing.org

Domain-specific data repositories

Good

• Assign PIDs / DOIs
• Long-term accessible
• Data type specific
• Apply metadata standards
• Usually recommended / required by journals
• Mostly accepted by the community

Intermediate

• User-friendliness
• Different metadata schema
• Complex and versatile submission routines

Generic data repositories

Good

• Allow publication of any kind of data Assign PIDs / DOIs
• Long-term accessible
• Very simple to use

Intermediate

• Only generic / high-level metadata schema
• Limited reusability

Peristent Identifiers (PIDs)

Spot the PIDs

https://doi.org/10.1093/plcell/koab243

Globally unique, stable, persistent identifiers (PIDs)

• Long-term findability
• Make data, digital objects, people, … uniquely identifiable
• Diminish “dead links”
• Cope with name changes

Properties of a PID

Ideally, PIDs are

• Stable and permanent
• Location-independent
• Globally unique and valid
• Addressable (citable)
• Clickable (resolvable)

Adapted from https://www.ebi.ac.uk/rdf/documentation/good_practice_uri/

Additional resources

• https://www.doi.org
• https://www.orcid.org
• https://pidservices.org/
• https://datacite.org
• https://www.project-freya.eu/en

Data stores

Backup vs. Archive

3-2-1 backup rule

Version control and track changes

It’s good practice to document:

• What was changed?
• Who is responsible?
• When did it happen?
• Why the changes?

Types of Version Control

• by file name (_v1, _v2)
• cloud services
  • dropbox, icloud, gdrive
• distributed version control system
  • e.g. Git

Data Sharing

Cloud Services

✓ Documents
✓ Small data
✓ Presentations

X Code
X Data analytical projects
X Big (“raw”) data

Overview of Institutional services at UoC and HHU

UoC

• C3RDM: https://fdm.uni-koeln.de/en/home
• Data storage and sharing: https://rrzk.uni-koeln.de/daten-speichern-teilen
• HPC: https://rrzk.uni-koeln.de/hpc-projekte
• service overview: https://fdm.uni-koeln.de/en/rdm-services/service-catalogue

HHU

• RDM Competence Center: https://www.fdm.hhu.de
• Support for research including HPC: https://www.zim.hhu.de/servicekatalog/forschungsunterstuetzung
• Processing & storing data: https://www.zim.hhu.de/servicekatalog/rechnen-und-speichern

Contributors

Slides presented here include contributions by

• name: Dominik Brilhaus
  github: https://github.com/brilator
  orcid: https://orcid.org/0000-0001-9021-3197
• name: Hajira Jabeen
  github: https://github.com/HajiraJabeen
  orcid: https://orcid.org/0000-0003-1476-2121