<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Steve Diggs on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/steve-diggs/</link><description>Recent content in Steve Diggs on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 15 Dec 2025 10:36:44 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/steve-diggs/index.xml" rel="self" type="application/rss+xml"/><item><title>Building Skills with Generalist Repositories: An Update on the Carpentries + GREI Collaboration</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2025/06/update-on-the-carpentries-and-grei-collaboration/</link><pubDate>Thu, 26 Jun 2025 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2025/06/update-on-the-carpentries-and-grei-collaboration/</guid><description>&lt;p>In late 2024, we launched a collaboration between The Carpentries and the &lt;a href="https://datascience.nih.gov/data-ecosystem/generalist-repository-ecosystem-initiative">Generalist Repository Ecosystem Initiative (GREI)&lt;/a>, aiming to explore how generalist data repositories such as &lt;a href="https://dataverse.harvard.edu/">Dataverse&lt;/a>, &lt;a href="https://datadryad.org/">Dryad&lt;/a>, &lt;a href="https://figshare.com/">Figshare&lt;/a>, &lt;a href="https://data.mendeley.com/">Mendeley Data&lt;/a>, &lt;a href="https://osf.io/">Open Science Framework&lt;/a>, &lt;a href="https://vivli.org/">Vivli&lt;/a>, and &lt;a href="https://zenodo.org/">Zenodo&lt;/a> might be more intentionally woven into the data skills we teach. Since then, we&amp;rsquo;ve taken important steps toward that vision by co-creating new lesson content, running an in-person workshop, and inviting the community into a broader conversation about data sharing and discoverability.&lt;/p></description></item><item><title>Bridging Communities: The Carpentries and GREI Collaboration</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2024/12/carpentries-and-grei-collaboration/</link><pubDate>Mon, 23 Dec 2024 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2024/12/carpentries-and-grei-collaboration/</guid><description>&lt;p>We would like to share an exciting new collaboration between The Carpentries and the &lt;a href="https://datascience.nih.gov/data-ecosystem/generalist-repository-ecosystem-initiative">Generalist Repository Ecosystem Initiative (GREI)&lt;/a>. This collaboration represents a shared commitment to equipping researchers worldwide with the skills and tools needed for effective data and software management, especially within the biomedical research community.
GREI was launched in 2022 by the National Institutes of Health’s &lt;a href="https://datascience.nih.gov/">Office of Data Science Strategy&lt;/a> (NIH ODSS) in the USA to foster robust data-sharing practices, recognising the critical need for researchers to make their data accessible, reusable, and impactful across disciplines. At its core, GREI supports a network of repositories designed to accommodate diverse data types, emphasising usability, discoverability, and adherence to the &lt;a href="https://force11.org/info/the-fair-data-principles/">FAIR (Findable, Accessible, Interoperable, Reusable)&lt;/a> principles. This initiative not only provides researchers with the infrastructure to share their data but also offers guidance and tools to improve data management practices, making it easier to comply with data-sharing policies and maximise the reach of their work.
By working together, The Carpentries and GREI aim to align our resources to demystify generalist repositories, enhance workflows for data submission and reuse, and ultimately ensure high-quality, well-documented deposits. But why is this effort so important, and what does it mean for our communities?&lt;/p></description></item></channel></rss>