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Linking Enterprise Data pp 25–47Cite as

The Role of Community-Driven Data Curation for Enterprises

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Abstract

With increased utilization of data within their operational and strategic processes, enterprises need to ensure data quality and accuracy. Data curation is a process that can ensure the quality of data and its fitness for use. Traditional approaches to curation are struggling with increased data volumes, and near real-time demands for curated data. In response, curation teams have turned to community crowd-sourcing and semi-automatedmetadata tools for assistance. This chapter provides an overview of data curation, discusses the business motivations for curating data and investigates the role of community-based data curation, focusing on internal communities and pre-competitive data collaborations. The chapter is supported by case studies from Wikipedia, The New York Times, Thomson Reuters, Protein Data Bank and ChemSpider upon which best practices for both social and technical aspects of community-driven data curation are described.

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Authors and Affiliations

  1. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Edward Curry, Andre Freitas & Sean O’Riáin

Authors
  1. Edward Curry
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  2. Andre Freitas
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  3. Sean O’Riáin
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Corresponding author

Correspondence to Edward Curry .

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Editors and Affiliations

  1. 3 Round Stones LLC, Fredericksburg, 22408, Virginia, USA

    David Wood

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© 2010 Springer Science+Business Media, LLC

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Curry, E., Freitas, A., O’Riáin, S. (2010). The Role of Community-Driven Data Curation for Enterprises. In: Wood, D. (eds) Linking Enterprise Data. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7665-9_2

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  • DOI: https://doi.org/10.1007/978-1-4419-7665-9_2

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-7664-2

  • Online ISBN: 978-1-4419-7665-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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