Data-PE: A framework for evaluating data publication policies at scholarly journals

被引：0
作者：
Moles, N. [1 ]
机构：
[1] Faculty of Information, University of Toronto, 140 St. George Street, Toronto, M5S 3G6, ON
来源：
Data Science Journal | 2015年 / 13卷
关键词：
Data publication; Data sharing; Editorial policy; Evaluation framework; Scholarly communication; Scholarly journals;
D O I：
10.2481/dsj.14-047
中图分类号：
学科分类号：
摘要：
With the growing importance of data to the scholarly record and the critical role journals play in facilitating data sharing, the complex landscape of scholarly journal data publication policies has become an obstacle for research. This paper outlines Data-PE, a framework for evaluating these policies. It takes the form of a conceptual foundation, comprising twelve criteria for evaluation, operationalized through an evaluation tool. Its objective is to function as a flexible means for a variety of stakeholders to appraise individual policies. Examples of the use of the framework are provided and means for the validation of the tool are discussed. © 2015, Committee on Data for Science and Technology. All rights reserved.
引用
收藏
页码：192 / 202
页数：10
相关论文
共 15 条
  • [1] Buneman P., Khanna S., Wang-Chiew T., Why and Where: A Characterization of Data Provenance, Database Theory - ICDT 2001, (2001)
  • [2] Campbell E.G., Clarridge B.R., Gokhale M., Et al., Data withholding in academic genetics: Evidence from a national survey, JAMA, 287, 4, pp. 473-480, (2002)
  • [3] Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data, Data Science Journal, 12, (2013)
  • [4] Kotarski R., Reilly S., Schrimpf S., Smit E., Walshe K., Report on best practices for citability of data and on evolving roles in scholarly communication, Opportunities for Data Exchange (ODE), (2012)
  • [5] Kuipers T., Van Der Hoeven J., PARSE.Insight: Survey Report (Deliverable No. D3.4), (2009)
  • [6] Lawrence B., Jones C., Matthews B., Pepler S., Callaghan S., Citation and Peer Review of Data: Moving Towards Formal Data Publication, International Journal of Digital Curation, 6, 2, pp. 4-37, (2011)
  • [7] Murray-Rust P., Neylon C., Pollock R., Wilbanks J., Panton Principles, Principles for Open Data in Science, (2010)
  • [8] Recommended Practices for Online Supplemental Journal Article Materials (NISO Recommended Practices No. NISO RP-15-2013), (2013)
  • [9] Parsons M.A., Publishing Data Interest Group Charter, (2013)
  • [10] Piwowar H.A., Vision T.J., Data reuse and the open data citation advantage, PeerJ, (2013)
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