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Article
Data Narratives: Increasing Scholarly Value
Proceedings of the Annual Meeting of the Association for Information Science and Technology
  • Line C Pouchard, Purdue University
  • Amy Barton, Purdue University
  • Lisa Zilinski, Purdue University
Comments

This is the published version of: Pouchard, L.C., Barton, A., & Zilinski, L.D. (2014). Data Narratives: Increasing Scholarly Value. First published in the Proceedings of the American Society for Information Science and Technology and is available online at: https://www.asis.org/asist2014/proceedings/submissions/posters/221poster.pdf.

Abstract

Data narratives or data stories have emerged as a new form of the scholarly communication focused on data. In this paper, we explore the potential value of data narratives and the requirements for data stories to enhance scholarly communication. We examine three types of data stories that form a continuum from the less to the more structured: the DataONE data stories, the Data Curation Profiles, and the Data Descriptors from the journal Scientific Data. We take the position that these data stories will increase the value of scholarly communication if they are linked to the datasets and to the publications that describe results, and have instructional value.

Keywords
  • data management,
  • scholarly communication
Date of this Version
11-3-2014
Citation Information
Pouchard, L.C., Barton, A., and Zilinski, L. (2014) Data Narratives: Increasing Scholarly Value. Proceedings of the American Society for Information Science and Technology. 51(1).