Data publication and repositories

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

Institutional publication guidelines

HHU Düsseldorf recommends use of ORCID and other PIDs

Publikationsrichtlinie der Heinrich-Heine-Universität Düsseldorf vom 09.11.2023:

https://www.hhu.de/die-hhu/kontakt-und-services/zentrale-und-amtliche-bekanntmachungen/nr-34-2023

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

Domain-specific data repositories

Choosing a data repository

Domain-specific >> Generic >> Institutional

Find repositories at:

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

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

From ARC to repositories

Moving from paper to data publications

Publish your ARC, get a DOI

Publish your ARC with a few clicks

Validation

adapted from Weil, H.L., Schneider, K., et al. (2023), PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research. Plant J. https://doi.org/10.1111/tpj.16474

Validate & publish

Weil, H.L., Schneider, K., et al. (2023), PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research. Plant J. https://doi.org/10.1111/tpj.16474

Receive a DOI

Contributors

Slides presented here include contributions by

• name: Dominik Brilhaus
  github: https://github.com/brilator
  orcid: https://orcid.org/0000-0001-9021-3197