Additional Resources¶

This page provides curated resources for deeper learning in open science, data management, Indigenous data governance, and AI ethics. Links were checked in September 2026; policy pages change quickly, so re-check anything you plan to cite.

General Open Science¶

Organizations and Communities¶

• Center for Open Science (COS) - Non-profit promoting openness, integrity, and reproducibility
• The Turing Way - Community-driven guide to reproducible research
• FORRT - Framework for Open and Reproducible Research Training; open-science teaching materials and curated resources
• UNESCO Open Science Partnership - Global open science initiatives

Training Programs¶

• MANTRA Research Data Management Training - Online course from University of Edinburgh
• The Carpentries - Workshops teaching foundational coding and data skills

Readings¶

• UNESCO Recommendation on Open Science - International policy framework
• Opening Science (2014) - Bartling & Friesike's foundational book
• The Turing Way Handbook - Comprehensive guide to reproducible research
• Barcelona Declaration on Open Research Information - Commitment to open scholarly metadata and infrastructure
• Retraction Watch data in Crossref - Check whether a paper you cite has been retracted

2026 Public Access Landscape¶

• NIH Public Access Policy overview - In force since 1 July 2025: accepted manuscripts to PMC at acceptance, zero embargo
• SPARC OSTP policy tracker - Agency-by-agency zero-embargo dates (DOE, EPA, USGS, NSF, USDA)
• NSF PAPPG 24-1 Supplement 2 (NSF 26-202) - NSF's Data Management and Sharing Plan and public-access changes, January 2026
• openRxiv 2025 year in review - bioRxiv and medRxiv under an independent nonprofit
• arXiv's next chapter - arXiv became an independent nonprofit on 1 July 2026

Data Management¶

Planning Tools¶

• DMPTool - Data management plan creation with funder templates, including the NIH 2026 format and NSF webform mirrors
• Data Stewardship Wizard - Knowledge-based DMP guidance
• DCC Checklist - Data management planning guidance
• NIH DMS Plan format page - The 2026 Yes/No format for due dates on or after 25 May 2026

Repositories¶

General Purpose:

• Zenodo - CERN-hosted repository for all research outputs; up to 50 GB per record
• Dryad - Curated repository integrated with journals (see Institutional Repositories for UNM membership)
• Figshare - Repository with 20 GB free storage
• Open Science Framework (OSF) - Project management and archiving

Domain-Specific:

• GenBank - Genetic sequence data
• Protein Data Bank - 3D structural data of proteins
• PANGAEA - Earth and environmental science
• ICPSR - Social science data
• Environmental Data Initiative (EDI) - Ecological and environmental data
• NIEHS CEBS - Chemical Effects in Biological Systems datasets
• dbGaP - Controlled-access genotype and phenotype data
• EPA Science Inventory - EPA research products (replaces the retired ScienceHub)
• EPA Environmental Dataset Gateway - EPA geospatial and environmental datasets
• CyVerse Data Commons - Life-science and environmental data

Repository Directories:

• re3data.org - Registry of research data repositories
• FAIRsharing - Databases, standards, and policies

Institutional Repositories¶

• ReDATA - University of Arizona research data repository
• UNM Digital Repository - University of New Mexico institutional repository
• UNM Research Data Services - Library guide covering the 2026 NIH and NSF plan templates
• Dryad - UNM is an institutional member: no deposit fee, up to 300 GB

Federal Data Preservation¶

• Public Environmental Data Partners: EJScreen mirror - Community-hosted copy of EPA's EJScreen, removed from epa.gov in February 2025
• Public Environmental Data Partners: EJAM mirror - Environmental Justice Analysis Multisite tool
• Data Rescue Project - Coordinated rescue of at-risk federal datasets
• Data Rescue Project data-loss report - August 2026 accounting of federal datasets removed since January 2025
• Harvard Library Innovation Lab data.gov archive - 311,000+ datasets, 16 TB, updated July 2026
• DataLumos - Archive for at-risk government datasets; one of the mirrors named in Lesson 2
• EDGI: EPA removes EJScreen - Environmental Data and Governance Initiative account of the removal

Metadata Standards¶

• DataCite Metadata Schema - Citation metadata (version 4.7, March 2026)
• Dublin Core - General metadata
• FAIRsharing Standards Database - Domain-specific standards
• MIxS - Minimum information for soil, water, and sediment samples

Environmental-Health Metadata¶

• NIEHS Environmental Health Language Collaborative (EHLC) - Harmonized vocabulary for environmental health data
• GA4GH Human Exposome Data Standards - Standards for exposure and biomonitoring data
• Northeastern SRP Data Dictionaries - Shared variable definitions for Superfund datasets
• SRP Tox Data Commons - Superfund Research Program toxicology data
• Texas A&M Superfund Research Center - Data Management and Analysis Core, disaster research response tools, and Houston-area community engagement
• NIEHS SRP data sharing - Program data-sharing expectations
• SRP Data Management and Analysis Cores - DMAC requirement and active cores

Cloud-Native and ML-Ready Formats¶

• Cloud-Native Geospatial Guide - GeoParquet, Cloud-Optimized GeoTIFF (COG), and Zarr explained
• DuckDB and Parquet - Query large tabular files locally; see the Interoperable section of Lesson 2
• Croissant - MLCommons metadata format for machine-learning datasets (version 1.1)
• Frictionless Data - Data packages and table schemas
• RO-Crate - Packaging research outputs with linked metadata (version 1.3, June 2026)
• FAIR4RS principles - FAIR principles for research software

Scholarly Indexes¶

• OpenAlex - Open index of works, authors, and datasets
• DataCite Commons - Search DOIs and connections across datasets, people, and organizations

Best Practices¶

• DataOne Best Practices - Comprehensive data management guidance
• Research Data Alliance (RDA) - Community-driven standards
• FAIR Principles - Findable, Accessible, Interoperable, Reusable (GO FAIR Foundation)
• FAIR Cookbook - Practical guides to implementing FAIR
• TRUST Principles - Transparency, Responsibility, User focus, Sustainability, Technology for repositories

Indigenous Data Governance¶

• CARE Principles for Indigenous Data Governance - Collective benefit, Authority to control, Responsibility, Ethics
• CARE Principles (Data Science Journal, 2020) - The peer-reviewed statement of the principles
• Local Contexts - Traditional Knowledge and Biocultural Labels and Notices; Hub accounts and "Data Do's and Don'ts"
• Navajo Nation Human Research Review Board (NNHRRB) - Established 1996; reviews all research on Navajo Nation
• Navajo Nation Genetics Research Policy Statement (2024) - Legislation 0241-24
• UNM IRB guidance: research with American Indian communities - NNHRRB, Pueblo governors, Southwest Tribal IRB, IHS IRB
• UNM Human Research Protections Office - Health Sciences IRB office
• UNM METALS Superfund Research Center - Community Engagement Core and partner communities
• Native BioData Consortium - Indigenous-led biobank and Tribal Data Repository
• Collaboratory for Indigenous Data Governance - Research and policy on Indigenous data sovereignty
• Indigenous Data Sovereignty Networks - Global networks
• US Indigenous Data Sovereignty Network (USIDSN) - US network of Indigenous data practitioners

Artificial Intelligence Ethics¶

Frameworks and Principles¶

• UNESCO Recommendation on Ethics of AI - International framework
• Asilomar AI Principles - 23 principles for beneficial AI
• Montreal Declaration - Responsible development of AI
• OECD AI Principles - International policy principles
• IEEE Ethically Aligned Design - Technical standards
• NIST AI Risk Management Framework - Govern, Map, Measure, Manage
• NIST AI 600-1: Generative AI Profile - Generative-AI risks, including confabulation
• International AI Safety Report 2026 - Independent scientific assessment, February 2026
• Stanford AI Index 2026 - Annual data on AI capabilities, adoption, and policy

Bias Detection and Mitigation¶

Tools:

• IBM AI Fairness 360 - Open source bias detection toolkit
• Microsoft Fairlearn - Python library for fairness assessment
• Google What-If Tool - Visualize model behavior (no longer actively developed)
• Aequitas - Bias and fairness audit toolkit
• Google DeepMind model cards - Examples of model documentation: intended use, evaluation, limitations
• Google PAIR - People + AI Research guidebook

Research:

• ACM FAccT - Conference on Fairness, Accountability, and Transparency
• AI Now Institute - Research on social implications of AI
• Algorithmic Justice League - Combating bias in AI

Guidelines and Policies¶

• ACM Code of Ethics - Professional conduct in computing
• Partnership on AI - Multi-stakeholder organization
• EU AI Act - Regulatory framework for AI in Europe
• NIH NOT-OD-25-132 - AI in applications: not original if substantially developed by AI; six applications per PI per year
• NIH reminders on AI and research integrity (May 2026) - Fabricated citations are fabrication; undisclosed AI paraphrase is plagiarism
• NIH NOT-OD-23-149 - No generative AI in NIH peer review
• ICMJE Recommendations - Section V, "Use of AI in Publishing" (January 2026)
• COPE: Authorship and AI tools - No AI authorship; disclose use

Responsible AI Use¶

• Stanford HAI Responsible AI - Research and policy
• Responsible AI Toolkit - Microsoft resources
• Google AI Principles - Corporate AI ethics
• UNM AI Resources - Approved tools; no IRB, PII, or CUI data in unevaluated tools
• University of Arizona Responsible AI - Campus guidance and the U of A GenAI tool
• UA student guidelines and principles - Expectations for student use

Books and Reading¶

• Weapons of Math Destruction by Cathy O'Neil - How algorithms increase inequality
• Artificial Unintelligence by Meredith Broussard - Why computers misunderstand the world
• Atlas of AI by Kate Crawford - Power, politics, and planetary costs of AI
• Race After Technology by Ruha Benjamin - How technology reinforces inequality
• The Alignment Problem by Brian Christian - Machine learning and human values
• AI Snake Oil by Arvind Narayanan and Sayash Kapoor - What AI can do, what it cannot, and how to tell the difference

Online Courses¶

• Elements of AI - Free introduction to AI concepts
• Ethics of AI (University of Helsinki) - Free online course
• Fairness and Machine Learning - Open textbook by Barocas, Hardt, and Narayanan
• Ethics of AI (Stanford CS122) - Course website

Open Access Publishing¶

Preprint Servers¶

• arXiv - Physics, mathematics, computer science; independent nonprofit since July 2026
• bioRxiv - Biology (openRxiv)
• medRxiv - Medical sciences (openRxiv)
• EarthArXiv - Earth sciences
• PsyArXiv - Psychological sciences
• OSF Preprints - Multidisciplinary

Open Access Journals¶

• PLOS - Open access publisher in science and medicine
• eLife - Life and biomedical sciences
• PeerJ - Biological and medical sciences
• MDPI - Multidisciplinary open access

Directories and Search¶

• Directory of Open Access Journals (DOAJ) - Quality open access journals
• SHERPA/RoMEO - Publisher copyright and self-archiving policies
• Unpaywall - Find free versions of paywalled papers

Version Control and Code Sharing¶

Platforms¶

• GitHub - Version control and collaboration
• GitLab - DevOps platform with git
• Bitbucket - Code collaboration

Learning Git¶

• Software Carpentry Git Lesson - Hands-on tutorial
• GitHub Skills - Interactive courses (replaces GitHub Learning Lab)
• Pro Git Book - Comprehensive free book

Licensing and Best Practices¶

• Choose a License - Guide to software licenses (software only)
• Creative Commons Chooser - Pick a CC license for data, text, and figures
• Open Data Commons licenses - Licenses written for databases
• Semantic Versioning - Version numbering standard
• Conventional Commits - Commit message format

Reproducibility¶

Computational Environments¶

• Docker - Containerization platform
• Binder - Turn git repositories into interactive notebooks
• Code Ocean - Cloud-based computational reproducibility

Notebooks¶

• Jupyter - Interactive computing notebooks
• R Markdown - Dynamic documents with R
• Observable - JavaScript notebooks

Workflow Management¶

• Snakemake - Workflow management system
• Nextflow - Data-driven computational pipelines
• Common Workflow Language (CWL) - Workflow description standard

Funding and Policy¶

Open Science Policies¶

• NIH Data Management and Sharing Policy - US National Institutes of Health
• NIH NOT-OD-26-046 - The 2026 DMS plan format for due dates on or after 25 May 2026
• NIH NOT-OD-26-100 - No prior approval for plan changes; RPPR reporting from 1 October 2026
• NSF Data Management and Sharing Plan - US National Science Foundation
• Horizon Europe Open Science - European Union

Open Science Funding¶

• Mozilla Foundation - Internet health grants
• Sloan Foundation - Science and technology programs

Tools and Software¶

Research Management¶

• Zotero - Reference management
• Mendeley - Reference manager and academic network
• OSF - Project management and collaboration

Writing and Documentation¶

• Markdown Guide - Learn Markdown syntax
• MkDocs - Documentation site generator
• Sphinx - Documentation builder
• Overleaf - Collaborative LaTeX editor

Data Analysis¶

• R - Statistical computing language
• Python - General-purpose programming language
• Posit (RStudio) - IDE for R and Python
• Visual Studio Code - Code editor

Data Visualization¶

• Data Visualization Society - Community and resources
• From Data to Viz - Guide to choosing charts
• ColorBrewer - Color advice for maps and visualizations

Communities and Networks¶

Open Science Communities¶

• OpenScapes - Better science for future us
• Research Bazaar Arizona - Digital literacy festival
• Open Science MOOC - Free online courses, hosted by IGDORE

Discipline-Specific¶

• pyOpenSci - Python open science community
• rOpenSci - R packages for open science
• Project Pythia - Education for geoscience Python

Staying Current¶

Newsletters¶

• The Turing Way Newsletter - Community updates
• Data Science Weekly - Data science news

Podcasts¶

• Everything Hertz - Methodology and scientific life (podcast; website unreachable as of September 2026)
• ReproducibiliTea - Open research journal clubs and podcast
• Data Skeptic - Data science and statistics

Social Media¶

• OpenScience Reddit - Community discussions
• Bluesky open-science starter pack - Curated accounts to follow
• FediScience and scholar.social - Mastodon instances for researchers
• LinkedIn groups for open science and research data management
• Follow hashtags: #OpenScience #OpenData #OpenAccess #FAIRData

Have a resource to suggest? Open an issue or email tswetnam@unm.edu.

Adapted from DUST 2025 (last source update 2025-10-14), CC BY 4.0. Spotted a problem? Open an issue.

Machine-readable versions of this page: Markdown twin · raw source on GitHub · llms.txt · llms-full.txt (whole site). See For AI agents.