Other People’s Data and Services (OPEDAS)

Active GO FAIR Implementation Network
A (meta)data publishing Implementation network that assists other people to make their metadata and data FAIR. The network works closely with the training INs and domain specific IN’s to ensure the best of breed vocabularies, data models, best practices, licensing options etc. Some partners focus on the creation of FAIR (meta)data as a service while others (also) publish and provide search facilities and access to FAIR data.

Main purpose and objectives
Recognising that FAIR has the overall objective of making data efficiently reusable, we assert that this can be optimally achieved if we harmonise the approach to data “FAIRification” amongst the stakeholders who undertake these kinds of activities on behalf of third-parties.
Objectives aligning OPEDAS with the vision of the Internet of FAIR Data and Services:

  1. Develop and share information about what the market can expect from FAIR Service Providers; What are the services offered, and associated artefacts (for example: FAIRification process, FAIR Metrics, Metrics evaluators, and registries for identifiers, ontologies, standards, and (meta)data models).
  2. All services following at least the same approach and objectives collectively decided upon within the IN (for example the FAIRification process).
  3. Develop the value proposition for businesses. This would allow for a consistent expectation by end users and clients.
  4. Collectively start making data FAIR using the same approach so we converge on a set of targeted, valuable, and well-delineated services and their associated artefacts.
  5. Develop new business models for data publishing.
  6. Speak with one voice, regardless of range of expertise/offerings of the IN participant, via synchronized ‘elevator pitches’.
  7. Collect convincing use cases and use them for cultural change.
  8. Share pre-competitive information that is currently only available within each individual organisation.
  9. Professionalisation of resources in general.
  10. Joint offerings based upon combined expertise, recognizing that not all partners can do all required FAIRification activities.
  11. Coordination with a, hopefully short-term, specialist registry for discovery of FAIR data providers called the FAIRpoint (provided by other GO FAIR core initiatives).
  12. Support the GO TRAIN Implementation Networks through guiding their selection of tools, technologies, approaches, and messaging at all training levels and modalities.
  13. Encourage data from all providers to be conceived FAIR (FAIRborn data).

Main tasks

  1. Consensus on and definition of the steps in the FAIRification process & enumeration of the types of professional services required for each step.
  2. Consensus on the standards and norms that will be applied during “core” FAIRification (e.g. the metadata elements shared by most resources).
  3. Business cases and operational reasons to support FAIRifying data in businesses and research organisations.
  4. Create common marketing materials covering all steps of FAIRification, logos, elevator pitches, etc.

Manifesto
Download the manifesto here.

Contact
Mark Wilkinson

Are you interested in joining OPEDAS IN? Please express your interest by filling in the form below. Your request will be forwarded to the IN Coordinator and she/he will get in touch as soon as possible.

Partners
Mark Wilkinson – Centre for Plant Biotechnology and Genomics UPM-INIA, Madrid, Spain
Laurenz Baltzer – Karger publishing, Switzerland
Susanna-Assunta Sansone – FAIRsharing, University of Oxford, UK
Kees van Bochove – The Hyve
Astrid Engelen-Visser – IOS Press, The Netherlands
Mark Musen – BioPortal, CEDAR, Stanford University, USA
George Strawn – BRDI board, NAS, USA (observer/advisor)
Albert Mons – Phortos Consultants
Arie Baak – Euretos
Annika Jacobsen – LUMC, The Netherlands
Christine Kirkpatrick – NDS, SDSC/UC San Diego & NCSA/UIUC, USA
Wouter Haak – Helena Cousijn, Elsevier, The Netherlands
Erik Schultes – GO FAIR International Coordination Office, The Netherlands
Ruben Kok – Dutch Techcenter for Life Sciences, The Netherlands
Peter Doorn- Data Archiving and Networked Services, The Netherlands
Michel Dumontier – Maastricht University, The Netherlands
Chris Evelo – Maastricht University, The Netherlands
Andra Waagmeester – Micelio
Tobias Kuhn – VU Amsterdam, The Netherlands
Derk Arts – Castor EDC
Myles Axton – Nature Genetics, Springer Nature
Mark Hahnel – Figshare
Maryan Martone – UCSD, USA
Merce Crosas – DataVerse
Richard Finkers – Wageningen University & Research, The Netherlands
Jildau Bouwman – TNO, The Netherlands
Marco Roos – Leiden University Medical Centre, The Netherlands