MibiNet connection to NFDIs

Data Stewardship between DataPLANT and the community

Annotated Research Context (ARC)

Your entire investigation in a single unified bag

You can store your ARC in the DataHUB

ARCs are versioned

You can invite collaborators

Collaborate and contribute

Reuse data in ARCs

Publish your ARC

ARC as single-entry point

From ARC to repositories

Moving from paper to data publications

Publish your ARC, get a DOI

Metadata templates

Facilities and labs can define their common workflows as templates

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

Learning from Open-Source-Software development

Data analysis and workflows

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

Galaxy integration: Extra value for plant research

  • Full ARC compatibility
  • Automated metadata generation
  • Specialized tools and workflows for ‘omics processing and analysis
  • Public repository compatibility
  • Galaxy teaching resource for data analysis

Enabling platforms

  • Streamlined exchange of (meta)data
  • Communication and project management

Streamlined data exchange

Meet your collaborators in an ARC

Project management

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

DataPLAN – a DataPLANT DMP generator

Zhou et al. (2023), DataPLAN: a web-based data management plan generator for the plant sciences, bioRxiv 2023.07.07.548147; doi: https://doi.org/10.1101/2023.07.07.548147

https://dmpg.nfdi4plants.org

Everything is a file

DataPLANT employs a data-centric approach to RDM

No technical lock-in

(Meta)data transparency with tool assistance but no technical lock-in

The ARC ecosystem

What does an ARC look like?

ARCs store experimental data

Computations can be run inside ARCs

ARCs come with comprehensive metadata

ARC builds on standards

  • RO-Crate: standardized exchange
  • ISA: structured, machine-readable metadata
  • CWL: reproducible, re-usable data analysis
  • Git: version control

https://isa-tools.org/ | https://www.commonwl.org/
https://www.researchobject.org/ro-crate/ | https://git-scm.com

TODO - Galaxy - ARC / metadata registry

# Validation ![h:400](./../../../img/tpj16474-fig-0008-m-modified.png) <span class="footer-reference"> 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 </span> ---

# Mutable data life cycle ![w:700](./../../../img/tpj16474-fig-0006-m.jpg) <span class="footer-reference"> 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 </span> ---

--- # The DataPLANT DataHUB &ndash; a GitLab ***Plus*** ![](./../../../img/DataHUB-GitLab.drawio.png)