--- title: "Additional resources" description: "Curated links for open science, data management, Indigenous data governance, AI ethics, publishing, reproducibility, and staying current." type: Reference tags: - Open Science - Data Management - Indigenous Data Governance - AI Ethics - Reproducibility generated: by: "claude/fable-5-1" at: "2026-09-11T00:00:00Z" sources: - id: dust-2025-resources resource: "https://github.com/tyson-swetnam/dust-2025/blob/29027dbda9ca29a123a68d8b4e2ae5dc198f7193/docs/resources.md" title: "DUST 2025: docs/resources.md" author: "human:tswetnam" last_modified: "2025-10-14T10:25:44-07:00" status: stable stale_after: "2027-09-01T00:00:00Z" --- # 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)](https://www.cos.io/){target=_blank} - Non-profit promoting openness, integrity, and reproducibility - [The Turing Way](https://book.the-turing-way.org/){target=_blank} - Community-driven guide to reproducible research - [FORRT](https://forrt.org/){target=_blank} - Framework for Open and Reproducible Research Training; open-science teaching materials and curated resources - [UNESCO Open Science Partnership](https://www.unesco.org/en/open-science){target=_blank} - Global open science initiatives ### Training Programs - [MANTRA Research Data Management Training](https://mantra.ed.ac.uk/){target=_blank} - Online course from University of Edinburgh - [The Carpentries](https://carpentries.org/){target=_blank} - Workshops teaching foundational coding and data skills ### Readings - [UNESCO Recommendation on Open Science](https://www.unesco.org/en/natural-sciences/open-science){target=_blank} - International policy framework - [Opening Science (2014)](https://doi.org/10.1007/978-3-319-00026-8){target=_blank} - Bartling & Friesike's foundational book - [The Turing Way Handbook](https://book.the-turing-way.org/){target=_blank} - Comprehensive guide to reproducible research - [Barcelona Declaration on Open Research Information](https://barcelona-declaration.org/){target=_blank} - Commitment to open scholarly metadata and infrastructure - [Retraction Watch data in Crossref](https://www.crossref.org/documentation/retrieve-metadata/retraction-watch/){target=_blank} - Check whether a paper you cite has been retracted ### 2026 Public Access Landscape - [NIH Public Access Policy overview](https://grants.nih.gov/policy-and-compliance/policy-topics/public-access/nih-public-access-policy-overview){target=_blank} - In force since 1 July 2025: accepted manuscripts to PMC at acceptance, zero embargo - [SPARC OSTP policy tracker](https://sparcopen.org/our-work/2022-updated-ostp-policy-guidance/){target=_blank} - Agency-by-agency zero-embargo dates (DOE, EPA, USGS, NSF, USDA) - [NSF PAPPG 24-1 Supplement 2 (NSF 26-202)](https://www.nsf.gov/policies/document/pappg24-1-supplement-2){target=_blank} - NSF's Data Management and Sharing Plan and public-access changes, January 2026 - [openRxiv 2025 year in review](https://openrxiv.org/2025-year-in-review/){target=_blank} - bioRxiv and medRxiv under an independent nonprofit - [arXiv's next chapter](https://blog.arxiv.org/2026/06/30/arxivs-next-chapter/){target=_blank} - arXiv became an independent nonprofit on 1 July 2026 ## Data Management ### Planning Tools - [DMPTool](https://dmptool.org/){target=_blank} - Data management plan creation with funder templates, including the NIH 2026 format and NSF webform mirrors - [Data Stewardship Wizard](https://ds-wizard.org/){target=_blank} - Knowledge-based DMP guidance - [DCC Checklist](https://www.dcc.ac.uk/guidance/how-guides/develop-data-plan){target=_blank} - Data management planning guidance - [NIH DMS Plan format page](https://grants.nih.gov/grants-process/write-application/forms-directory/data-management-and-sharing-plan-format-page){target=_blank} - The 2026 Yes/No format for due dates on or after 25 May 2026 ### Repositories **General Purpose:** - [Zenodo](https://zenodo.org/){target=_blank} - CERN-hosted repository for all research outputs; up to 50 GB per record - [Dryad](https://datadryad.org/){target=_blank} - Curated repository integrated with journals (see Institutional Repositories for UNM membership) - [Figshare](https://figshare.com/){target=_blank} - Repository with 20 GB free storage - [Open Science Framework (OSF)](https://osf.io/){target=_blank} - Project management and archiving **Domain-Specific:** - [GenBank](https://www.ncbi.nlm.nih.gov/genbank/){target=_blank} - Genetic sequence data - [Protein Data Bank](https://www.rcsb.org/){target=_blank} - 3D structural data of proteins - [PANGAEA](https://www.pangaea.de/){target=_blank} - Earth and environmental science - [ICPSR](https://www.icpsr.umich.edu/){target=_blank} - Social science data - [Environmental Data Initiative (EDI)](https://edirepository.org/){target=_blank} - Ecological and environmental data - [NIEHS CEBS](https://cebs-ext.niehs.nih.gov/datasets/){target=_blank} - Chemical Effects in Biological Systems datasets - [dbGaP](https://dbgap.ncbi.nlm.nih.gov/home){target=_blank} - Controlled-access genotype and phenotype data - [EPA Science Inventory](https://cfpub.epa.gov/si/){target=_blank} - EPA research products (replaces the retired ScienceHub) - [EPA Environmental Dataset Gateway](https://edg.epa.gov/){target=_blank} - EPA geospatial and environmental datasets - [CyVerse Data Commons](https://datacommons.cyverse.org/){target=_blank} - Life-science and environmental data **Repository Directories:** - [re3data.org](https://www.re3data.org/){target=_blank} - Registry of research data repositories - [FAIRsharing](https://fairsharing.org/){target=_blank} - Databases, standards, and policies ### Institutional Repositories - [ReDATA](https://redata.arizona.edu/){target=_blank} - University of Arizona research data repository - [UNM Digital Repository](https://digitalrepository.unm.edu/){target=_blank} - University of New Mexico institutional repository - [UNM Research Data Services](https://libguides.unm.edu/data){target=_blank} - Library guide covering the 2026 NIH and NSF plan templates - [Dryad](https://datadryad.org/){target=_blank} - UNM is an institutional member: no deposit fee, up to 300 GB ### Federal Data Preservation - [Public Environmental Data Partners: EJScreen mirror](https://screening-tools.com/epa-ejscreen){target=_blank} - Community-hosted copy of EPA's EJScreen, removed from epa.gov in February 2025 - [Public Environmental Data Partners: EJAM mirror](https://screening-tools.com/epa-ejam){target=_blank} - Environmental Justice Analysis Multisite tool - [Data Rescue Project](https://www.datarescueproject.org/){target=_blank} - Coordinated rescue of at-risk federal datasets - [Data Rescue Project data-loss report](https://www.datarescueproject.org/data-loss-report/){target=_blank} - August 2026 accounting of federal datasets removed since January 2025 - [Harvard Library Innovation Lab data.gov archive](https://source.coop/repositories/harvard-lil/gov-data/description){target=_blank} - 311,000+ datasets, 16 TB, updated July 2026 - DataLumos - Archive for at-risk government datasets; one of the mirrors named in [Lesson 2](https://unm-carc.github.io/dust-2026/lessons/02-data-management/) - [EDGI: EPA removes EJScreen](https://envirodatagov.org/epa-removes-ejscreen-from-its-website/){target=_blank} - Environmental Data and Governance Initiative account of the removal ### Metadata Standards - [DataCite Metadata Schema](https://schema.datacite.org/){target=_blank} - Citation metadata (version 4.7, March 2026) - [Dublin Core](https://www.dublincore.org/){target=_blank} - General metadata - [FAIRsharing Standards Database](https://fairsharing.org/standards/){target=_blank} - Domain-specific standards - [MIxS](https://genomicsstandardsconsortium.github.io/mixs/){target=_blank} - Minimum information for soil, water, and sediment samples ### Environmental-Health Metadata - [NIEHS Environmental Health Language Collaborative (EHLC)](https://www.niehs.nih.gov/research/programs/ehlc){target=_blank} - Harmonized vocabulary for environmental health data - [GA4GH Human Exposome Data Standards](https://www.ga4gh.org/product/human-exposome-data-standards/){target=_blank} - Standards for exposure and biomonitoring data - [Northeastern SRP Data Dictionaries](https://manati.ece.neu.edu/dictionary/){target=_blank} - Shared variable definitions for Superfund datasets - [SRP Tox Data Commons](https://toxdatacommons.com/){target=_blank} - Superfund Research Program toxicology data - [Texas A&M Superfund Research Center](https://superfund.tamu.edu/){target=_blank} - Data Management and Analysis Core, disaster research response tools, and Houston-area community engagement - [NIEHS SRP data sharing](https://tools.niehs.nih.gov/srp/data/index.cfm){target=_blank} - Program data-sharing expectations - [SRP Data Management and Analysis Cores](https://tools.niehs.nih.gov/srp/data/dmac.cfm){target=_blank} - DMAC requirement and active cores ### Cloud-Native and ML-Ready Formats - [Cloud-Native Geospatial Guide](https://guide.cloudnativegeo.org/){target=_blank} - GeoParquet, Cloud-Optimized GeoTIFF (COG), and Zarr explained - DuckDB and Parquet - Query large tabular files locally; see the Interoperable section of [Lesson 2](https://unm-carc.github.io/dust-2026/lessons/02-data-management/) - [Croissant](https://mlcommons.org/working-groups/data/croissant/){target=_blank} - MLCommons metadata format for machine-learning datasets (version 1.1) - [Frictionless Data](https://frictionlessdata.io/){target=_blank} - Data packages and table schemas - [RO-Crate](https://www.researchobject.org/ro-crate/){target=_blank} - Packaging research outputs with linked metadata (version 1.3, June 2026) - [FAIR4RS principles](https://www.nature.com/articles/s41597-022-01710-x){target=_blank} - FAIR principles for research software ### Scholarly Indexes - [OpenAlex](https://openalex.org/){target=_blank} - Open index of works, authors, and datasets - [DataCite Commons](https://commons.datacite.org/){target=_blank} - Search DOIs and connections across datasets, people, and organizations ### Best Practices - [DataOne Best Practices](https://dataoneorg.github.io/Education/bestpractices/){target=_blank} - Comprehensive data management guidance - [Research Data Alliance (RDA)](https://www.rd-alliance.org/){target=_blank} - Community-driven standards - [FAIR Principles](https://www.gofair.foundation/fair-principles){target=_blank} - Findable, Accessible, Interoperable, Reusable (GO FAIR Foundation) - [FAIR Cookbook](https://faircookbook.elixir-europe.org/){target=_blank} - Practical guides to implementing FAIR - [TRUST Principles](https://www.nature.com/articles/s41597-020-0486-7){target=_blank} - Transparency, Responsibility, User focus, Sustainability, Technology for repositories ## Indigenous Data Governance !!! warning "Research on Navajo Nation and with Pueblo partners" Research on Navajo Nation requires NNHRRB approval before data collection, and the Board must approve the Final Report and Dissemination Plan before results are shared. Research with Pueblo of Laguna goes through the Pueblo governor's office and the Southwest Tribal IRB; start with the UNM IRB guidance below. The NNHRRB site is served over plain http (its TLS certificate is misconfigured); if it will not load, use the UNM IRB guidance and the METALS Center page instead. - [CARE Principles for Indigenous Data Governance](https://www.gida-global.org/careprinciples){target=_blank} - Collective benefit, Authority to control, Responsibility, Ethics - [CARE Principles (Data Science Journal, 2020)](https://datascience.codata.org/articles/dsj-2020-043){target=_blank} - The peer-reviewed statement of the principles - [Local Contexts](https://localcontexts.org/){target=_blank} - Traditional Knowledge and Biocultural Labels and Notices; Hub accounts and "Data Do's and Don'ts" - [Navajo Nation Human Research Review Board (NNHRRB)](http://nnhrrb.navajo-nsn.gov/){target=_blank} - Established 1996; reviews all research on Navajo Nation - [Navajo Nation Genetics Research Policy Statement (2024)](https://www.navajonationcouncil.org/wp-content/uploads/2024/11/0241-24.pdf){target=_blank} - Legislation 0241-24 - [UNM IRB guidance: research with American Indian communities](https://irb.unm.edu/library/documents/guidance/research-with-american-indian-communities.pdf){target=_blank} - NNHRRB, Pueblo governors, Southwest Tribal IRB, IHS IRB - [UNM Human Research Protections Office](https://hsc.unm.edu/research/compliance/hrpo/){target=_blank} - Health Sciences IRB office - [UNM METALS Superfund Research Center](https://hsc.unm.edu/pharmacy/research/areas/metals/){target=_blank} - Community Engagement Core and partner communities - [Native BioData Consortium](https://nativebio.org/){target=_blank} - Indigenous-led biobank and Tribal Data Repository - [Collaboratory for Indigenous Data Governance](https://indigenousdatalab.org/){target=_blank} - Research and policy on Indigenous data sovereignty - [Indigenous Data Sovereignty Networks](https://indigenousdatalab.org/networks/){target=_blank} - Global networks - [US Indigenous Data Sovereignty Network (USIDSN)](https://usindigenousdatanetwork.org/){target=_blank} - US network of Indigenous data practitioners ## Artificial Intelligence Ethics ### Frameworks and Principles - [UNESCO Recommendation on Ethics of AI](https://www.unesco.org/en/artificial-intelligence/recommendation-ethics){target=_blank} - International framework - [Asilomar AI Principles](https://futureoflife.org/open-letter/ai-principles/){target=_blank} - 23 principles for beneficial AI - [Montreal Declaration](https://www.montrealdeclaration-responsibleai.com/){target=_blank} - Responsible development of AI - [OECD AI Principles](https://oecd.ai/en/ai-principles){target=_blank} - International policy principles - [IEEE Ethically Aligned Design](https://standards.ieee.org/industry-connections/ec/autonomous-systems/){target=_blank} - Technical standards - [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework){target=_blank} - Govern, Map, Measure, Manage - [NIST AI 600-1: Generative AI Profile](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf){target=_blank} - Generative-AI risks, including confabulation - [International AI Safety Report 2026](https://internationalaisafetyreport.org/){target=_blank} - Independent scientific assessment, February 2026 - [Stanford AI Index 2026](https://hai.stanford.edu/ai-index/2026-ai-index-report){target=_blank} - Annual data on AI capabilities, adoption, and policy ### Bias Detection and Mitigation **Tools:** - [IBM AI Fairness 360](https://github.com/Trusted-AI/AIF360){target=_blank} - Open source bias detection toolkit - [Microsoft Fairlearn](https://fairlearn.org/){target=_blank} - Python library for fairness assessment - [Google What-If Tool](https://pair-code.github.io/what-if-tool/){target=_blank} - Visualize model behavior (no longer actively developed) - [Aequitas](https://dssg.github.io/aequitas/){target=_blank} - Bias and fairness audit toolkit - [Google DeepMind model cards](https://deepmind.google/models/model-cards){target=_blank} - Examples of model documentation: intended use, evaluation, limitations - [Google PAIR](https://pair.withgoogle.com/){target=_blank} - People + AI Research guidebook **Research:** - [ACM FAccT](https://facctconference.org/){target=_blank} - Conference on Fairness, Accountability, and Transparency - [AI Now Institute](https://ainowinstitute.org/){target=_blank} - Research on social implications of AI - [Algorithmic Justice League](https://www.ajl.org/){target=_blank} - Combating bias in AI ### Guidelines and Policies - [ACM Code of Ethics](https://www.acm.org/code-of-ethics){target=_blank} - Professional conduct in computing - [Partnership on AI](https://partnershiponai.org/){target=_blank} - Multi-stakeholder organization - [EU AI Act](https://artificialintelligenceact.eu/){target=_blank} - Regulatory framework for AI in Europe - [NIH NOT-OD-25-132](https://www.grants.nih.gov/grants/guide/notice-files/NOT-OD-25-132.html){target=_blank} - 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)](https://grants.nih.gov/news-events/nih-extramural-nexus-news/2026/05/helpful-reminders-to-ensure-integrity-of-nih-supported-research-when-using-artificial-intelligence){target=_blank} - Fabricated citations are fabrication; undisclosed AI paraphrase is plagiarism - [NIH NOT-OD-23-149](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-149.html){target=_blank} - No generative AI in NIH peer review - [ICMJE Recommendations](https://www.icmje.org/recommendations/){target=_blank} - Section V, "Use of AI in Publishing" (January 2026) - [COPE: Authorship and AI tools](https://publicationethics.org/guidance/cope-position/authorship-and-ai-tools){target=_blank} - No AI authorship; disclose use ### Responsible AI Use - [Stanford HAI Responsible AI](https://hai.stanford.edu/policy){target=_blank} - Research and policy - [Responsible AI Toolkit](https://www.microsoft.com/en-us/ai/responsible-ai){target=_blank} - Microsoft resources - [Google AI Principles](https://ai.google/principles/){target=_blank} - Corporate AI ethics - [UNM AI Resources](https://airesources.unm.edu/){target=_blank} - Approved tools; no IRB, PII, or CUI data in unevaluated tools - [University of Arizona Responsible AI](https://responsibleai.arizona.edu/){target=_blank} - Campus guidance and the U of A GenAI tool - [UA student guidelines and principles](https://responsibleai.arizona.edu/students/student-guidelines-principles){target=_blank} - 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**](https://press.princeton.edu/books/hardcover/9780691249131/ai-snake-oil){target=_blank} by Arvind Narayanan and Sayash Kapoor - What AI can do, what it cannot, and how to tell the difference ### Online Courses - [Elements of AI](https://www.elementsofai.com/){target=_blank} - Free introduction to AI concepts - [Ethics of AI (University of Helsinki)](https://ethics-of-ai.mooc.fi/){target=_blank} - Free online course - [Fairness and Machine Learning](https://fairmlbook.org/){target=_blank} - Open textbook by Barocas, Hardt, and Narayanan - [Ethics of AI (Stanford CS122)](https://web.stanford.edu/class/cs122/){target=_blank} - Course website ## Open Access Publishing ### Preprint Servers - [arXiv](https://arxiv.org/){target=_blank} - Physics, mathematics, computer science; independent nonprofit since July 2026 - [bioRxiv](https://www.biorxiv.org/){target=_blank} - Biology (openRxiv) - [medRxiv](https://www.medrxiv.org/){target=_blank} - Medical sciences (openRxiv) - [EarthArXiv](https://eartharxiv.org/){target=_blank} - Earth sciences - [PsyArXiv](https://psyarxiv.com/){target=_blank} - Psychological sciences - [OSF Preprints](https://osf.io/preprints/){target=_blank} - Multidisciplinary ### Open Access Journals - [PLOS](https://plos.org/){target=_blank} - Open access publisher in science and medicine - [eLife](https://elifesciences.org/){target=_blank} - Life and biomedical sciences - [PeerJ](https://peerj.com/){target=_blank} - Biological and medical sciences - [MDPI](https://www.mdpi.com/){target=_blank} - Multidisciplinary open access ### Directories and Search - [Directory of Open Access Journals (DOAJ)](https://doaj.org/){target=_blank} - Quality open access journals - [SHERPA/RoMEO](https://v2.sherpa.ac.uk/romeo/){target=_blank} - Publisher copyright and self-archiving policies - [Unpaywall](https://unpaywall.org/){target=_blank} - Find free versions of paywalled papers ## Version Control and Code Sharing ### Platforms - [GitHub](https://github.com/){target=_blank} - Version control and collaboration - [GitLab](https://gitlab.com/){target=_blank} - DevOps platform with git - [Bitbucket](https://bitbucket.org/){target=_blank} - Code collaboration ### Learning Git - [Software Carpentry Git Lesson](https://swcarpentry.github.io/git-novice/){target=_blank} - Hands-on tutorial - [GitHub Skills](https://learn.github.com/skills){target=_blank} - Interactive courses (replaces GitHub Learning Lab) - [Pro Git Book](https://git-scm.com/book/){target=_blank} - Comprehensive free book ### Licensing and Best Practices - [Choose a License](https://choosealicense.com/){target=_blank} - Guide to software licenses (software only) - [Creative Commons Chooser](https://creativecommons.org/chooser/){target=_blank} - Pick a CC license for data, text, and figures - [Open Data Commons licenses](https://opendatacommons.org/licenses/){target=_blank} - Licenses written for databases - [Semantic Versioning](https://semver.org/){target=_blank} - Version numbering standard - [Conventional Commits](https://www.conventionalcommits.org/){target=_blank} - Commit message format ## Reproducibility ### Computational Environments - [Docker](https://www.docker.com/){target=_blank} - Containerization platform - [Binder](https://mybinder.org/){target=_blank} - Turn git repositories into interactive notebooks - [Code Ocean](https://codeocean.com/){target=_blank} - Cloud-based computational reproducibility ### Notebooks - [Jupyter](https://jupyter.org/){target=_blank} - Interactive computing notebooks - [R Markdown](https://rmarkdown.rstudio.com/){target=_blank} - Dynamic documents with R - [Observable](https://observablehq.com/){target=_blank} - JavaScript notebooks ### Workflow Management - [Snakemake](https://snakemake.readthedocs.io/){target=_blank} - Workflow management system - [Nextflow](https://www.nextflow.io/){target=_blank} - Data-driven computational pipelines - [Common Workflow Language (CWL)](https://www.commonwl.org/){target=_blank} - Workflow description standard ## Funding and Policy ### Open Science Policies - [NIH Data Management and Sharing Policy](https://grants.nih.gov/policy-and-compliance/policy-topics/sharing-policies/dms){target=_blank} - US National Institutes of Health - [NIH NOT-OD-26-046](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-26-046.html){target=_blank} - The 2026 DMS plan format for due dates on or after 25 May 2026 - [NIH NOT-OD-26-100](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-26-100.html){target=_blank} - No prior approval for plan changes; RPPR reporting from 1 October 2026 - [NSF Data Management and Sharing Plan](https://www.nsf.gov/funding/data-management-plan){target=_blank} - US National Science Foundation - [Horizon Europe Open Science](https://ec.europa.eu/info/research-and-innovation/strategy/strategy-2020-2024/our-digital-future/open-science_en){target=_blank} - European Union ### Open Science Funding - [Mozilla Foundation](https://foundation.mozilla.org/en/){target=_blank} - Internet health grants - [Sloan Foundation](https://sloan.org/){target=_blank} - Science and technology programs ## Tools and Software ### Research Management - [Zotero](https://www.zotero.org/){target=_blank} - Reference management - [Mendeley](https://www.mendeley.com/){target=_blank} - Reference manager and academic network - [OSF](https://osf.io/){target=_blank} - Project management and collaboration ### Writing and Documentation - [Markdown Guide](https://www.markdownguide.org/){target=_blank} - Learn Markdown syntax - [MkDocs](https://www.mkdocs.org/){target=_blank} - Documentation site generator - [Sphinx](https://www.sphinx-doc.org/){target=_blank} - Documentation builder - [Overleaf](https://www.overleaf.com/){target=_blank} - Collaborative LaTeX editor ### Data Analysis - [R](https://www.r-project.org/){target=_blank} - Statistical computing language - [Python](https://www.python.org/){target=_blank} - General-purpose programming language - [Posit (RStudio)](https://posit.co/){target=_blank} - IDE for R and Python - [Visual Studio Code](https://code.visualstudio.com/){target=_blank} - Code editor ### Data Visualization - [Data Visualization Society](https://www.datavisualizationsociety.org/){target=_blank} - Community and resources - [From Data to Viz](https://www.data-to-viz.com/){target=_blank} - Guide to choosing charts - [ColorBrewer](https://colorbrewer2.org/){target=_blank} - Color advice for maps and visualizations ## Communities and Networks ### Open Science Communities - [OpenScapes](https://www.openscapes.org/){target=_blank} - Better science for future us - [Research Bazaar Arizona](https://researchbazaar.arizona.edu/){target=_blank} - Digital literacy festival - [Open Science MOOC](https://opensciencemooc.eu/){target=_blank} - Free online courses, hosted by IGDORE ### Discipline-Specific - [pyOpenSci](https://www.pyopensci.org/){target=_blank} - Python open science community - [rOpenSci](https://ropensci.org/){target=_blank} - R packages for open science - [Project Pythia](https://projectpythia.org/){target=_blank} - Education for geoscience Python ## Staying Current ### Newsletters - [The Turing Way Newsletter](https://buttondown.com/turingway){target=_blank} - Community updates - [Data Science Weekly](https://www.datascienceweekly.org/){target=_blank} - Data science news ### Podcasts - Everything Hertz - Methodology and scientific life (podcast; website unreachable as of September 2026) - [ReproducibiliTea](https://reproducibilitea.org/){target=_blank} - Open research journal clubs and podcast - [Data Skeptic](https://dataskeptic.com/){target=_blank} - Data science and statistics ### Social Media - [OpenScience Reddit](https://www.reddit.com/r/Open_Science/){target=_blank} - Community discussions - [Bluesky open-science starter pack](https://blueskydirectory.com/starter-packs/a/69497-open-science-pack){target=_blank} - Curated accounts to follow - [FediScience](https://fediscience.org/){target=_blank} and [scholar.social](https://scholar.social/){target=_blank} - 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](https://github.com/UNM-CARC/dust-2026/issues){target=_blank} or email tswetnam@unm.edu.

Adapted from [DUST 2025](https://github.com/tyson-swetnam/dust-2025/blob/29027dbda9ca29a123a68d8b4e2ae5dc198f7193/docs/resources.md){target=_blank} (last source update 2025-10-14), CC BY 4.0. Spotted a problem? [Open an issue](https://github.com/UNM-CARC/dust-2026/issues){target=_blank}.