@pampel, @ninaweis, Rouven Schabinger and I have published a preprint on closed research data repositories
https://doi.org/10.48550/arXiv.2310.06712

We found that repository shut down is not rare, 6.2 % of repositories in @re3data were no longer accessible. The median age of a repository when shutting down is 12 years. Various factors can put repositories at risk. Not all repositories have adopted strategies for preventing data loss, which might compromise the scholarly record.
#OpenScience

Disappearing repositories -- taking an infrastructure perspective on the long-term availability of research data

Currently, there is limited research investigating the phenomenon of research data repositories being shut down, and the impact this has on the long-term availability of data. This paper takes an infrastructure perspective on the preservation of research data by using a registry to identify 191 research data repositories that have been closed and presenting information on the shutdown process. The results show that 6.2 % of research data repositories indexed in the registry were shut down. The risks resulting in repository shutdown are varied. The median age of a repository when shutting down is 12 years. Strategies to prevent data loss at the infrastructure level are pursued to varying extent. 44 % of the repositories in the sample migrated data to another repository, and 12 % maintain limited access to their data collection. However, both strategies are not permanent solutions. Finally, the general lack of information on repository shutdown events as well as the effect on the findability of data and the permanence of the scholarly record are discussed.

arXiv.org

@dorothearrr @re3data

Thank you for this fascinating research.
I do open source projects and previously worked with the USGS on an internship in a past life.
I am interested in the problems presented in the conclusion of your paper. I would love to contribute and help plan a longer term strategy for open data and documenting more reusable guidelines for scientists to adopt in data lifecycle management.

Do you or @re3data have github organizations that accept contributions?

@beaubouchard @re3data It's great to hear that you want to support data management! Depending on your area of expertise and interests, there are numerous ways to contribute.
One great way to get involved that comes to mind are @thecarpentries https://carpentries.org/community/
They offer amazing resources for researchers looking to improve their skills and have a program to train instructors.
Our Community

Community Overview The Carpentries works to help institutions and individuals spread skills for data analysis, computational thinking, and research software development through building local and global communities of practice. We continue to be an organisation primarily supported by volunteers. Our work is made possible through the efforts of our amazing workshop hosts, organisers, community champions, member organisations, and our paid staff, the Core Team. Our Volunteer Communities The Carpentries is a community of practice composed of regional and role-related volunteer communities. Below is a list of our role-related volunteer communities. Select a community to learn more about their role at The Carpentries.

The Carpentries

@dorothearrr @re3data @thecarpentries

Awesome, thank you for the link, i will be sure to check out Carpentries.