Conference Paper: “What Do Data Curators Care About? Data Quality, User Trust, and the Data Reuse Plan”
The following paper will be presented at a satellite meeting during the 2017 IFLA World Library and Information Congress beginning later this week in Wrocław, Poland.
What Do Data Curators Care About? Data Quality, User Trust, and the Data Reuse Plan
Frank Andreas Sposito
University of Denver
via IFLA Library
Data curation is often defined as the practice of maintaining, preserving, and enhancing research data for long-term value and reusability. The role of data reuse in the data curation lifecycle is critical: increased reuse is the core justification for the often sizable expenditures necessary to build data (management infrastructures and user services. Yet recent studies have shown that data are being shared and reused through open data repositories at much lower levels than expected. These studies underscore a fundamental and often overlooked challenge in research data management that invites deeper examination of the roles and responsibilities of data curators. This presentation will identify key barriers to data reuse, data quality and user trust, and propose a framework for implementing reuser-centric strategies to increase data reuse. Using the concept of a data reuse plan, it will highlight repository-based approaches to improve data quality and user trust, and address critical areas for innovation for data curators working in the absence of repository support.
Direct to Full Text Article (7 pages; PDF)
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.