This is the "Data Curation" page of the "Metadata" guide.
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Introduction

Data curation is the active and ongoing management of data through its lifecycle of interest and usefulness to scholarship, science, and education. Data curation enables data discovery and retrieval, maintains data quality, adds value, and provides for re-use over time through activities including authentication, archiving, management, preservation, and representation.

-Graduate School of Library and Information Science, University of Illinois at Urbana Champaign

 

 

Data Curation Centre (DCC) Model

The digital curation lifecycle model developed by The Data Curation Centre (DCC) is one of the most widely used models and it covers the following curation actions:

  • Full lifecycle actions (Description and Representation Information, Preservation Planning, Community Watch and Participation, Curate and Preserve)
  • Sequential actions (Conceptualise, Create or Receive, Appraise and Select, Ingest, Preservation Action, Store, Access, Use and Reuse, Transform)
  • Occasional actions (Dispose, Reappraise, Migrate).

For a quick overview of data curation, visit “Digital Curation: A How-To-Do-It Manual.”

 

Data Curation Profile

A Data Curation Profile is a document about the origin of a dataset or a collection and its lifecycle within a research project. It describes the data generated and used in research that may be published, shared and preserved for future reuse and repurposing. The Data Curation Profile records requirements for specific data generated by a single scientist, scholar or research group based on their needs and requirements. It can be created by librarians, archivists, IT professionals and/or data managers through interviewing the researcher(s) and documenting the results.

The DCP Toolkit sponsored by Institute of Museum and Library Services (IMLS) can be used as a tool to conduct data curation interview.

Description

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