Hi Toby, I attended a workshop in 2016 that was part of an NSF funded project called OntoSoft. While it was titled “The Scientific paper of the Future,” it included a large amount of material about reproducibility. This was all generated from the researcher perspective by researchers, as opposed to by librarians, and I thought it a novel perspective, as well as language that apparently speaks better to researchers than librarians do (at least in my experience working in libraries). You might find the materials interesting, though possibly already a bit out of date. They are CC-BY Licensed and available at https://doi.org/10.5281/zenodo.159206. Note that this was not hands-on and was 3.5 hours long, but there are a number of things that I think could be made interactive
Cheers, ~ Amy Amy E. Hodge, PhD Science Data Librarian [email protected]<mailto:[email protected]> 650.556.5194 [/Users/amyhodge/Library/Containers/com.microsoft.Outlook/Data/Library/Caches/Signatures/signature_474737419] orcid.org/0000-0002-5902-3077<https://orcid.org/0000-0002-5902-3077> Data Management Services Branner Earth Sciences Library, 212 Mitchell 397 Panama Mall; MC 2211 Stanford University Stanford, CA 94305 From: Toby Hodges via discuss <[email protected]> Reply-To: discuss <[email protected]> Date: Wednesday, August 22, 2018 at 1:29 AM To: discuss <[email protected]> Subject: [discuss] Data Management Training Material Hi folks, (Relevant to the two discussions we’ve had on here recently about versioning large datasets and tracing provenance.) We’ve been approached by someone at the EMBL library who would like to organise a workshop on Research Data Management and (Open) Publication for (computational) biologists. I wonder if anyone on this list has taught something like that before and, if so, if you have any materials that you’d be happy to share? I’m already familiar with the SWC Data Management lesson video here [https://www.youtube.com/watch?v=3MEJ38BO6Mo] and of course a lot of the DC material will be relevant as well. The workshop will need to be hands-on and cover data management over the lifetime of a project: while planning/applying for funding (data management plans); during the project (data organisation, preservation, etc); and openly publishing/archiving data & metadata. I’d be grateful or any and all resources and advice that you can share and recommend. Thanks, Toby ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/Tafdc30751411bcaa-M6973e515011c7984328f8e73 Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
