At FAIRPoints, we aim to provide a platform for conversations to take place around realistic and pragmatic FAIR implementations and going a step further into the direction of capturing the discussion outcomes in the form of bite-sized material that is interconnected and interoperable, making it easier to explore.
- FAIR is a set of guiding principles, do you have examples for practical implementation choices that are being made within your community of practice?
- FAIRification efforts in the materials science community: a common API for serving data: https://www.optimade.org/, data repositories: https://nomad-lab.eu/, https://archive.materialscloud.org/, https://mpcontribs.org/
- Domain-specific implementation profiles and examples: https://www.go-fair.org/how-to-go-fair/fair-implementation-profile/ , https://www.go-fair.org/implementation-networks/overview/
- How to be FAIR with your data: A teaching and training handbook for higher education institutions (https://doi.org/10.5281/zenodo.5665492).
- Article: https://crl.acrl.org/index.php/crl/article/view/23610/30923
- FAIR not necessarily open: https://citrine.io/why-data-fairness-is-important-in-the-corporate-world/ , (chemical and materials informatics company)
- How to facilitate the implementation of open science principles by scientists with limited expertise and or time: https://github.com/FellowsFreiesWissen/computational_notebooks
FAIRPoints_Point_1
The event series highlighting pragmatic measures developed by the community towards the implementation of the FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
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FAIRPoints
Date Published: 2022-03-14
Version: 1
- ResearchEquals= new open access publishing platform
- Publish research steps
- You get the agency as a researcher to publish your own work
- Publish your work, don’t work to publish
- Publish what you are comfortable to publish
- Scholar led platform- come and cocreate
- Come and co-create: https://discord.gg/SefsGJWWSw , https://github.com/libscie/ResearchEquals.com
- Slides: https://1drv.ms/p/s!AsJaDBb2tSTg2XmnM1JLmtgiy2DP
- Research output is not one event. It is multiple events, a journey, connected. And there is value in making such output lineage/provenance visible.
- All Research output is important and has an inherent value
- Digestable format is a new avenue for delivering scientific and research output
- Science is a dynamic journey and should be reported as such
- DOIs can be created for various formats of research outputs allowing for research that better documents the varied ways in which a plan or experiment becomes formalized
- Interoperability is key to enabling a more robust publication system that recognizes all research paths/outputs.
FAIRPoints_Point_2
In this talk, we will explore the open source publishing platform ResearchEquals, where you can publish your entire research journey, step by step. With this, researchers get the autonomy to make all their research outputs findable, accessible, interoperable, and reusable. In this presentation, Chris Hartgerink shows how you can get started with this new publishing system and how you can help shape its future development. Speaker: Chris Hartgerink
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FAIRPoints
Date Published: 2022-03-14
Version: 1
- Quantifying legal requirements for data sharing for domain / use case
- Aligning legal requirements with FAIR workflows - which laws? Which jurisdictions?
- Creating machine-readable vocabularies for policies - generic -> specific
- Developing new FAIR workflows based on legal actors/policies
FAIRPoints_Point_3
FAIR mechanisms have pioneered a new paradigm of making data discoverable, accessible, and reusable. At the same time, a new wave of privacy and data protection laws (including GDPR) around the world is regulating how personal data is shared responsibly. This talk explores the intersection between the two communities and discusses how each can help the other. In particular, it focuses on how we can utilise FAIR metadata and mechanisms to ensure data is shared and used legally while also increasing its reusability. Conversely, it also takes a look at what FAIR principles can do for improving how we deal with legal compliance. Speaker: Harshvardhan J. Pandit
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FAIRPoints
Date Published: 2022-04-29
Version: 1
- We need everyone’s help advancing data/software sharing policies, requirements, guidance (e.g., societies, publishers)
- Institutions/disciplinary services need to work together to help simplify workflows for authors (e.g., help desk, repositories)
- We, the community, need to find better ways to integrate data/software best practices earlier in the research process, embed in research workflows (e.g, platforms, notebooks)
- Researchers are inundated with guidance, we need to streamline information as much as possible in combination with the point above (e.g, checklists)
- We need to demonstrate to researchers the value of sharing data/software by leveraging metadata (e.g., filtering, indexing)
- Data access statements should include: Description of research output in manuscript, Location and link of repo, Description of repository/funder, Conditions for access and use with link to instructions, Data DOI
FAIRPoints_Point_4
Data access statements (DAS), also known as data availability statements, are key elements that can be used in multiple diverse disciplines and have a huge impact in providing essential information as it outlines where and how any underlying data may be accessed and reused, listing specific restrictions (if any) and the authorization process. It is therefore integral to the FAIRification process. Join us in this talk to discover how an effective data access statement should look like! Speakers: Juliane Schneider & Chris Erdmann
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FAIRPoints
Date Published: 2022-04-29
Version: 1
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