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.
Read MoreDataCite has a long history of registering DOIs for a variety of resource types.
Read MoreNeed facet data in a machine-readable format? The new option —facetdata can help!
Read MoreI 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.
Read MoreWe are in the early days of documenting output management plans using DataCite metadata so it is an important time to identify and adopt common practices that help realize the exciting goals of machine-actionable DMPs. Common practices will facilitate the creation of interoperable DMPs and the development of tools across the research community that help us all reap the on-going benefits of these plans throughout the research life-cycle.
Read MoreMeasuring metadata completeness is a great way to identify good examples and low-hanging fruit for improvement. A Pidapalloza talk from last week described results from a recent assessment of 144 repositories from the TIB DataCite Consortium with respect to recommendations for FAIR metadata. Overall, the seven mandatory DataCite fields dominate these repositories, but several great examples that go beyond the mandatory were identified.
Read MoreIt has been ten years since the release of the first DataCite metadata schema. Many improvements since then provide a roadmap for community evolution toward making DataCite metadata more FAIR.
Read MoreLooking for New Year’s metadata resolutions? How about: Stop using sentences that include the words “minimum metadata” without specifying a use case.
Read MoreDataCite subject metadata can play an important role in dataset classification and discovery, but these elements are uncommon in the repository and need some improvements. Establishing metrics for completeness and quality is an important first step in the improvement process.
Read MoreClear and specific community recommendations for FAIR metadata in multiple dialects are rare and necessary for measuring progress towards evaluating and improving metadata in many repositories. We propose an initial set of concepts and an evaluation of the DataCite metadata collection for essential metadata elements that support Findability.
Read MoreThe DataCite metadata model includes rich information about over 18 million items with DOIs. The schema includes at least four elements that describe organizations: publisher, creator, contributor, and fundingReference. Each of these elements has interesting characteristics. Let’s explore them!
Read MoreI have worked in scientific data management for many years and enjoy working with organizations and communities that share data and knowledge. I am fluent in metadata standards and dialects used in scientific data management and publishing.
We are constantly working to help you change your metadata game. If you have any questions, suggestions, or crazy ideas, please send contact us or connect with us through the details below.
Ted Habermann
ted@metadatagamechangers.com
ORCID | LinkedIn | Twitter
Erin Robinson
erin@metadatagamechangers.com
ORCID | LinkedIn | Twitter
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