Past Webinars

Watch the Recording here

RDA/ESIP Physical Samples Webinar Series.  This webinar will provide an overview of the problem from a researcher’s point of view and present a case study of the kinds of problems created by inadequate sample tracking and the lack of workable alternatives for associating samples with the experimental record. The new Inventory module being developed for the RSpace electronic lab notebook allows sample data to be associated with other experimental data and the experimental record, and sample data to be accessed and managed from within the ELN side of the application. Through integrations with repositories like Dataverse and Figshare, data from RSpace, and these other tools the sample data and the experimental data it’s associated with can be deposited together directly into the repositories, where it can be accessed and queried by others, facilitating reproducibility. 

Recording Available Here

This 1-hour webinar will address the issue of a lack of a consistent framework and agreed definitions of best practices across data communities in guiding the management of data versioning,  including the citation and identification of different versions of a data set. The talk will introduce six foundational principles for versioning of datasets: Revision, Release, Granularity, Manifestation, Provenance and Citation which were derived from the collection and analysis of 39 use cases and current practices of data versioning across 33 organisations, and used the Functional Requirements for Bibliographic Records (FRBR) as a conceptual framework. The six principles provide a high-level framework for researchers in guiding a consistent practice of data versioning and can also serve as guidance for data centres or data providers when setting up their own data revision and version protocols and procedures, as well as systematic identification of their data products.