A recent talk introduces the concept of repository re-curation as a means of improving connectivity with identifiers while complying with the Nelson Memo. Examples from three types of research organizations are described: Dryad, a generalist repository, institutional repositories, and biologic field stations. Slides and a video of the talk are included.
The Dryad data publishing platform and community have provided secure storage, curation, discovery and access for datasets associated with published scientific papers since 2008 and now holds nearly 50,000 datasets. The platform is supported by an active community of researchers, research organizations, and scientific journals that submit data and support infrastructure development and sustenance.
Nearly 900 RORs created during the last several years have been dropped from the ROR database and no longer resolve. These missing RORs have been identified. What should be done with them?
The ROR web interface and API work well if you have a small number of affiliation strings that need identifiers, but what if you have several hundred organization names or thousands of affiliation strings? Try RORRetriever if you have a big ROR search and don’t know where to start!
Affiliations and identifiers are critical for building a connected research community across the world. The contribution made to that connected resource for University datasets in DataCite is limited by the paucity of the required organizational identifiers.
I use the database version of the ROR data to explore data characteristics that might affect my results, usually by making it harder to find the correct RORs in a big pile of affiliations.
DataCite has a long history of registering DOIs for a variety of resource types.
Need facet data in a machine-readable format? The new option —facetdata can help!
I will describe how the DataCite metadata facets help me improve my understanding of DataCite metadata usage in this blog and introduce some software that can help you answer your questions about DataCite metadata usage.
The idea that DataCite exists only to provide DOIs is deeply embedded in repository thought processes and this idea needs to evolve. The research community needs to think about DataCite (and other elements of the global research infrastructure) as powerful resources for describing and connecting the myriad of resources that make up the modern research world.
Improving the completeness and the machine-readability of funder metadata in the global research infrastructure, i.e. DataCite and Crossref, is a critical step along the path of using that infrastructure to identify and characterize research results supported by funders all over the world. A set of 854 funder descriptions from the DRUM repository were processed into 1482 affiliation strings.