Capturing Provenance of Data Curation at BCO-DMO
Saito, Mak A.
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At domain-specific data repositories, curation that strives for FAIR principles often entails transforming data submissions to improve understanding and reuse. The Biological and Chemical Oceanography Data Management Office (BCO-DMO, https://www.bco-dmo.org) has been adopting the data containerization specification of the Frictionless Data project (https://frictionlessdata.io) in an effort to improve its data curation process efficiency. In doing so, BCO-DMO has been using the Frictionless Data Package Pipelines library (https://github.com/frictionlessdata/datapackage-pipelines) to define the processing steps that transform original submissions to final data products. Because these pipelines are defined using a declarative language they can be serialized into formal provenance data structures using the Provenance Ontology (PROV-O, https://www.w3.org/TR/prov-o/). While there may still be some curation steps that cannot be easily automated, this method is a step towards reproducible transforms that bridge the original data submission to its published state in machine-actionable ways that benefit the research community through transparency in the data curation process. BCO-DMO has built a user interface on top of these modular tools for making it easer for data managers to process submission, reuse existing workflows, and make transparent the added value of domain-specific data curation.
Presented at Data Curation Network, May 15, 2020
Suggested CitationPresentation: Shepherd, Adam, York, Amber, Schloer, Conrad, Kinkade, Danie, Rauch, Shannon, Biddle, Matt, Copley, Nancy, Haskins, Christina, Soenen, Karen, Saito, Mak A., Wiebe, Peter, "Capturing Provenance of Data Curation at BCO-DMO", Presented at Data Curation Network, May 15, 2020, DOI:10.1575/1912/25777, https://hdl.handle.net/1912/25777
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