Gryk presents at iPres 2018

Michael Gryk
Michael Gryk

PhD student Michael Gryk presented his research in data curation at iPRES 2018, which was held in Boston from September 25-27. The conference brought together researchers, archivists, librarians, providers, and other experts to share recent developments and innovative projects in the field of digital preservation.

Gryk presented his poster, "Data Curation as a Mechanism for Fostering Computational Reproducibility," in which he describes his recent and ongoing efforts to foster computational reproducibility for biomolecular nuclear magnetic resonance (bioNMR) data processing. The work is both a continuation of the CONNJUR project, which involved UConn Health, Rensselaer Polytechnic Institute, Trinity College, and Western New England University; as well as Gryk’s collaboration with Douglas Heintz (MS ’17) on a course project for Metadata in Theory and Practice (IS 562).

"Over the past decade, we have designed and supported a custom workflow management system, called CONNJUR Workflow Builder (CWB)," he said. "We have recently embedded data curation activities within the workflow construction and execution environment, using the PREMIS model for digital preservation as the basic template of a bioNMR processing workflow. In our poster, we describe extending this effort in a goal to produce reproducible provenance records from CWB. Fostering computational reproducibility is one of the primary goals of the NMRbox initiative."

Gryk's research interests include scientific data management; computational reproducibility; data curation; workflows and provenance; and information organization, representation, and access. He earned his PhD in biophysics from Stanford University and MS in chemistry from the University of Connecticut. 

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