Open Science & Reproducible Research

A small list of available resources.

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Digital Resources

Data Principles

• Applying the ‘CARE Principles for Indigenous Data Governance’ to ecology and biodiversity research. Lydia Jennings et al.. Nature, (2023).
• CARE Principles for Indigenous Data Governance.
• Data and Digital Outputs Management Plan (DDOMP). The Belmont Forum e-Infrastructures and Data Management Collaborative Research Action 2018.
• FAIR Principles. GO FAIR Initiative.
• FAIR Cookbook. FAIRplus project. ELIXIR community.
• FAIR self assessment tool. Australian Research Data Commons.
• F*ck Workflows: when parts of FAIR are missing. Sean R. Wilkinson et al., Arrive.org (2022).
• TRUST
• The CARE Principles for Indigenous Data Governance. The Data Science Journal (DSJ).
• The FAIR Guiding Principles for scientific data management and stewardship. Wilkinson, M., Dumontier, M., Aalbersberg, I. et al., Sci Data 3, 160018 (2016).

General references

• Automated Research Workflows for Accelerated Discovery. National Academy of Sciences.
• Awesome Open Science. Cyverse.
• Challenges in irreproducible research. (2018) Nature.
• Data Science Cookie Cutter Template.
• Data Management Resources. Data Cooperative. University of Arizona Libraries.
• FOSTER Open Science Open Science Portal.
• Foundational Open Science Skills (FOSS) . Cyverse.
• GIDA: Global Indigenous Data Allience. Promoting Indigenous Control of Indigenous Data.
• How Open is it? Open Access Spectrum. Public Library of Science Infograph.
• Indigenous Peoples and Research Sovereignty. Frontiers Research Topics (2023).
• Introduction to Open Science. Cyverse.
• NIH Data Management & Sharing Policy. NIH Scientific Data Sharing.
• Open educational resources for Openscapes Champions. The Openscapes Core Team, Lowndes & Robinson (2021). Openscapes Champions Lesson Series (Version v0.0.1).
• Open Science. UNESCO Recommendation on Open Science.
• Open Science Manifesto. Open and Collaborative Science (OCS).
• Open-Source Science Initiative. NASA Science.
• Open Science Training Handbook. FosterOpenScience.EU.
• Practical guide to Software Management Plans. Netherlands eScience Center and NWO, the Dutch Research Council.
• Primer on Data Management: What you always wanted to know. DataONE.
• Journal Papers with code.
• ReproducibleScience.org. New York University.
• Reproducible data analysis platform (reana). CERN.
• Reproducibility and Replicability in Science. National Academy of Science.
• Reproducibility vs. Replicability: A Brief History of the Confused Terminology. Hans E. Plesser. Frontiers in Neuroinformatics (2018).
• Reproducibility in Research. Aya Mitani.
• Software Development Resources for Data Scientists. Isabella Velásquez. RStudio/Blog.
• The Turing Way. A handbook to reproducible, ethical and collaborative data science.
• Why is reproducible open science important, and how can it be accomplished?. Artin Majdi, UA Data Science Institute.

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Other Open Science Resources

• Delightful Open Science
• FOSS - Foundational Open Science Skills. CyVerse, University of Arizona.

AI Open Science Research Tools

• Connected Papers
• Elicit
• Google Scholar
• Mendeley
• Open Knowledge Maps
• Perplexity AI
• ResearchRabbit
• Semantic Scholar
• Workflowhub.eu. A registry for describing, sharing and publishing scientific computational workflows.

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Archival Repositories / Open Data Platforms

• Fishare.com. UA Figshare
• Directory of Open Access Repositories - OpenDOAR. University of Nottingham, University of Lund. JISC, UK.
• Image Data Resource. OpenMicroscopy.org.
• Open Source Framework - OSF
• Registry of Open Access Repositories - ROAR. University of Southampton, UK.
• Zenodo.org. CERN, CH.

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Updated: 01/08/2024. (C. Lizarraga)