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Purdue Research Team Among First Class of Fellows for Collaborative Archive Data Research Environment (CADRE)

Purdue Research Team Among First Class of Fellows for Collaborative Archive Data Research Environment (CADRE)

July 18th, 2019

Editor’s Note: Content in this post is courtesy of Stephanie Hernandez McGavin via Shared BigData-Gateway

A team of Purdue University researchers is among the seven fellowship teams selected for the first class of the Collaborative Archive Data Research Environment (CADRE) Fellows.

These seven fellowship teams span across disciplines and offer compelling research that incorporates big data and bibliometrics. Each fellow team will access CADRE’s Web of Science (WoS) and Microsoft Academic Graph (MAG) datasets to achieve their research goals.

Purdue University members of the first class of CADRE Fellows, L to R: Michael Witt, Loran Carleton Parker, and Ann Bessenbacher

The three-member Purdue University team will work on the project, “Utilizing Data Citation for Aggregating, Contextualizing, and Engaging with Research Data in STEM Education Research.” The researchers are:

  • Michael Witt, associate professor of library science, Purdue Libraries and School of Information Studies, Purdue University,
  • Loran Carleton Parker, associate director and senior evaluation and research associate, Evaluation Learning Research Center (ELRC), College of Education, Purdue University, and
  • Ann Bessenbacher, research associate and data scientist (ELRC), STEMEd HUB, Purdue University.

Per the description of their project: “Researchers will characterize citation of data from the literature in the field of STEM education research. A sample of relevant publication venues in the field will be identified from WoS and MAG. Digital Object Identifiers (DOIs) of datasets registered with DataCite will be used to query and associate datasets with publications. The team will assess rates of citation for datasets that are cited using DataCite DOIs for each publication venue and analyze a sample of data citations and publications to determine suitability for providing an initial context to help a researcher who is unfamiliar with the data determine whether to use the dataset.”

The other six teams and their CADRE research projects are listed at https://blogs.libraries.indiana.edu/sbd-gateway/2019/07/18/cadre-first-fellows/.

The Fellows will present their research at the International Society for Scientometrics and Informetrics (ISSI) 2019 Conference in Rome at either the workshop or tutorial that CADRE is hosting on Sept. 2.

Not only will these fellows show how CADRE helped advance their work, but they will also serve as integral use cases for how the CADRE platform is developed to suit the needs of every type of academic researcher.

Made Possible in Part by IMLS

The Shared BigData Gateway for Research Libraries (SBD-G) is a two-year Institute of Museum and Library Services-funded project to develop, seed, and maintain a cloud-based, extendable cyberinfrastructure for sharing large academic library data resources with a growing community of scholars.

SBD-G will achieve this through its platform, the Collaborative Archive & Data Research Environment (CADRE).

For more information, visit https://blogs.libraries.indiana.edu/sbd-gateway/2018/09/27/hello-world/.