Curation Associates Kickoff

While this summer’s SHARE Community Meeting was filled with project reports and workshops about the SHARE data set, the days that followed were literally buzzing. On July 14–15, 2016, 35 librarians representing a variety of libraries across the US helped launch the SHARE Curation Associates pilot program. The two half-days were packed with learning sessions focused on technical curation skills, including introductions to the Python programming language, advanced Git/GitHub, and much more. Since the July meeting, the associates have split into two tracks—a curation track and a project track.

Curation Track

The curation track helps associates develop and enhance their institutional practices for curating digital assets, such as preprints, presentations, posters, and data sets. This yearlong track began with a metadata review to better understand which metadata fields are captured locally by the library, which metadata elements are available through the local repository feed, and which metadata fields are fed into the SHARE data set. Associates are in the process of collating and analyzing this information to better understand where there are gaps along the metadata pipeline.

Once the metadata review and gap analysis is completed, the curation track will then work to improve local curation practices over the remaining six-month period. To kick off this phase of the program, numerous skills labs will be dedicated to assessing and enhancing institutional curatorial activities and using tools and technology to assist with the curation treatments. At the end, all of the participating institutions will have improved local curation practices, enhanced their metadata, and ultimately contributed better information to SHARE.

Project Track

The project track has allowed associates to be involved in SHARE-related projects that also benefit their local institutions. Most project teams are comprised of more than one associate and a representative from the SHARE Operations Team. Currently, there are seven projects in various stages of development:

  • Populating an open-access institutional repository: This project is developing a pipeline and workflow that will allow institutions to ingest metadata about local faculty scholarship from the SHARE data set or make a set of decisions that will facilitate obtaining the digital assets. More information about this work and early drafts of the pipeline may be found on the project’s OSF space.
  • SHARE and IRIS collaboration: This project is harnessing the SHARE data set to prototype institutional graduate student profiles. More information may be found on the project’s OSF space.
  • ORCID: This team is evaluating how data available through the public ORCID application programming interface (API) could be joined with the metadata flowing into the SHARE data set to allow greater author disambiguation.
  • Data dictionary: To support the new SHARE metadata model, a group of associates are developing definitions, terms, and mappings to the new elements. More information about this project and links to the data dictionary are available on the OSF.
  • Research data searching: This project is developing infrastructure and initiatives to support searches of research data using SHARE. Read more about this project on the OSF.
  • Policy infrastructure: This team is working on evaluating and recommending policies to support the new technical infrastructure in development at SHARE, including such topics as how metadata changes are validated and approved. Read more about this project on the OSF.
  • Linking data and publications: This project is exploring methods to identify and link related publications and data together through uniform resource identifiers (URIs) in the SHARE data set.

As these tracks and the Curation Associates program progress, we will provide updates to highlight the associates’ fabulous work and contributions.

If you are interested in participating in any of these efforts, please reach out to any of the SHARE Operations Team members or a curation associate directly.