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Post-meeting Resources

📃Slides:

@Dec Meeting Slides - Open Data Sharing.pdf

🎦 Zoom Recording

December Meeting AI Summary

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Date: December 19, 2025

Presenter: Vahid Alizadeh

Learning Community: Open Science in Practice: Tools and Workflows for Transparent, Reproducible Research

🎯 Meeting Objectives

By the end of this session, participants will:

• Understand the FAIR principles (Findable, Accessible, Interoperable, Reusable) and their importance in modern research
• Navigate data repositories appropriate for their discipline and data types
• Develop comprehensive data management and sharing strategies aligned with funder requirements
• Apply metadata standards and documentation best practices to their research data
• Design privacy-preserving approaches for sensitive data while maximizing sharing potential
• Create actionable data management plans for ongoing and future projects

📚 Main Resources and Templates

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Essential Core Resources

FAIR Principles Foundation

1. Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18

   • The foundational paper defining the 15 FAIR principles developed through the 2014 Lorentz Workshop. Essential reading for understanding the theoretical basis of data sharing standards.

     The FAIR Guiding Principles for scientific data management and stewardship.pdf

2. GO FAIR Foundation Implementation Networks - https://www.go-fair.org/

   • Discipline-specific guidance and tools for implementing FAIR principles. Coordinates Implementation Networks across biology, chemistry, social sciences, and more.

3. Research Data Alliance (RDA) FAIR Data Maturity Model - https://doi.org/10.15497/rda00050

   • Developed by 200+ experts from 20+ countries. Provides 17 indicators and priority levels for assessing FAIR compliance. The "lingua franca" for comparing FAIR assessments across repositories.

     FAIR Data Maturity Model_ specification and guidelines_v1.00.pdf

Funder Requirements & Data Management Planning

1. NIH Data Management and Sharing Policy - https://sharing.nih.gov/
   • Effective January 25, 2023: ALL NIH-funded research generating scientific data requires 2-page Data Management and Sharing Plan (DMSP). Non-compliance may affect future funding eligibility.
2. NSF Data Management Plan Guidelines - https://nsf.gov/funding/data-management-plan
   • Required since 2011. Directorate-specific requirements vary (SBE emphasizes human subjects protection; BIO focuses on community repositories and FAIR).
3. Horizon Europe Data Management Plan Requirements - https://rea.ec.europa.eu/open-science_en
   • Mandatory data management plans within 6 months. Principle: "as open as possible, as closed as necessary." Immediate open access to publications (no embargo); Creative Commons CC-BY or CC0 licensing required for metadata.

Assessment and Guidance Tools

1. How to be FAIR with your data (2022) - https://doi.org/10.17875/gup2022-1915

   • Comprehensive training materials including lesson plans, competence frameworks, and implementation guidance. Available as GitBook at fairsfair.gitbook.io

     FAIRsFAIR Teaching Handbook.pdf

2. Cornell Data Services README Template - https://data.research.cornell.edu/data-management/sharing/readme

   • Industry-standard template for documenting datasets. Covers general information, sharing/access, data overview, methodological information, and data-specific documentation. </aside>

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Data Management Plan Templates

DMP Tool Platforms

• DMPTool - https://dmptool.org/: US-focused with templates for NIH, NSF, DOE, and NEH; institutional customization available
• DMPonline - https://dmponline.dcc.ac.uk/: UK-focused; supports all UKRI councils plus Horizon Europe
• ARGOS - https://argos.openaire.eu/: European platform; produces machine-actionable DMPs following RDA Common Standard
• Data Stewardship Wizard - https://ds-wizard.org/: Features smart questionnaires with built-in FAIR metrics indicators; developed by ELIXIR

Key Template Elements

• Data types and volume estimates
• Related tools, software, and code
• Metadata standards and documentation
• Preservation timelines and formats
• Access considerations and restrictions
• Oversight responsibilities and workflows </aside>

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Supplementary Resources

1. Recent Implementation Reviews

• Kobayashi, M., & Croft, W. (2025). Research data management and FAIR compliance through popular research data repositories: an exploratory study. Data Technology and Applications, 59(2). Evaluates Figshare, Zenodo, Dataverse, and Dryad against FAIR principles—finding Figshare highest (58.3%), but all repositories show gaps in access metrics and licensing features.
  • https://www.emerald.com/insight/content/doi/10.1108/DTA-12-2022-0477/full/html
• Pichler, F., & Sorensen, D. O. (2024). Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review. JMIR Medical Education, 10. Comprehensive scoping review identifying projects, tools, and workflows for FAIRifying health research data since COVID-19 pandemic.
  • https://doi.org/10.2196/22505

2. Practical Implementation Guides

• Hardwicke, T. E., et al. (2024). Open science interventions to improve reproducibility and replicability. Royal Society Open Science. Systematic evaluation of intervention effectiveness with evidence-based implementation recommendations.
  • https://royalsocietypublishing.org/doi/10.1098/rsos.242057
• NFDI4Chem (2025). Proposal for 2025-2030: Vision of all chemists publishing FAIR data. RIO Journal. Details integrated lab-to-repository workflows using electronic lab notebooks (ELNs) and federated repositories.
  • https://riojournal.com/article/177037/

3. Discipline-Specific Standards

• Nature Scientific Data Recommended Repositories - Curated list of 100+ discipline-specific repositories across biomedics, chemistry, earth sciences, social sciences, and more
• PLOS ONE Recommended Repositories - https://journals.plos.org/plosone/s/recommended-repositories
• EQUATOR Network - https://www.equator-network.org/: Comprehensive database of reporting guidelines by discipline </aside>

🔑 The FAIR Principles: From Theory to Practice