Open Science & Reproducible Research
A small list of available resources.
- 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).
- 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).
- The TRUST Principles - An RDA Community Effort. Research Data Alliance.
- Automated Research Workflows for Accelerated Discovery. National Academy of Sciences.
- Awesome Open Science. Cyverse.
- Building reproducible analytical pipelines with R. Bruno Rodrigues.
- Challenges in irreproducible research. (2018) Nature.
- Data Science Cookie Cutter Template.
- Data Management Plans: Implications for Automated Analyses. Ngoc-Minh Pham, Heather Moulaison-Sandy, Bradley Wade Bishop, Hannah Gunderman.
- Data management plan scorecard. Bradley Wade Bishop, Judit Ungvari, Hannah Gunderman, Heather Moulaison-Sandy.
- Data Management Short Course for Scientists. ESIP Commons.
- Data Management Resources. Data Cooperative. University of Arizona Libraries.
- Data Skills for Reproducible Research. Lisa DeBruine, Dale Barr, Emily Nordmann, Rebecca Lai, David Pharis.
- 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 Infographics.
- 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.
- Research Data Alliance
- Software Development Resources for Data Scientists. Isabella Velásquez. RStudio/Blog.
- The Turing Way. A handbook to reproducible, ethical, and collaborative data science.
- Delightful Open Science
- FOSS - Foundational Open Science Skills. CyVerse, University of Arizona.
- Connected Papers
- Elicit
- Google Scholar
- Mendeley
- OA.mg
- Open Knowledge Maps
- Perplexity AI
- ResearchRabbit
- Semantic Scholar
- Workflowhub.eu. A registry for describing, sharing and publishing scientific computational workflows.
- 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.
Updated: 09/18/2025. (C. Lizarraga)
- Datasets
- Julia Programming Language
- Python Programming Language
- R Programming Language
- UNIX/Linux Command Line Interface (CLI)
- General Data Science
- Machine Learning & Deep Learning
- Probability & Statistics
- Time Series Analysis & Forecasting
- Open Science & Reproducible Research
- AI Tools Landscape
more ...
- UArizona Data Science Workshops
- UArizona Data Lab Workshops (Fall 2023)
- UArizona Data Lab Deep Learning Workshops (Fall 2023)
Carlos Lizárraga, UArizona Data Lab, Data Science Institute, University of Arizona, 2025.
