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The growth of electronic publishing of literature has created new challenges, such as the need for mechanisms for citing online references in ways that can assure discoverability and retrieval for many years into the future. The growth in online datasets presents related, yet more complex challenges. It depends upon the ability to reliably identify, locate, access, interpret, and verify the version, integrity, and provenance of digital datasets. Data citation standards and good practices can form the basis for increased incentives, recognition, and rewards for scientific data activities that in many cases are currently lacking in many fields of research. The rapidly-expanding universe of online digital data holds the promise of allowing peer-examination and review of conclusions or analysis based on experimental or observational data, the integration of data into new forms of scholarly publishing, and the ability for subsequent users to make new and unforeseen uses and analyses of the same data-either in isolation, or in combination with, other datasets.

The problem of citing online data is complicated by the lack of established practices for referring to portions or subsets of data. There are a number of initiatives in different organizations, countries, and disciplines already underway. An important set of technical and policy approaches have already been launched by the U.S. National Information Standards Organization (NISO) and other standards bodies regarding persistent identifiers and online linking.

The workshop summarized in For Attribution—Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop was organized by a steering committee under the National Research Council's (NRC's) Board on Research Data and Information, in collaboration with an international CODATA-ICSTI Task Group on Data Citation Standards and Practices. The purpose of the symposium was to examine a number of key issues related to data identification, attribution, citation, and linking to help coordinate activities in this area internationally, and to promote common practices and standards in the scientific community.

Suggested Citation

National Research Council. 2012. For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop. Washington, DC: The National Academies Press.

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Publication Info

238 pages |  8.5 x 11 | 

  • Paperback:  978-0-309-26728-1
  • Ebook:  978-0-309-26731-1
Chapters skim
Front Matter i-xviii
Why Are the Attribution and Citation of Scientific Data Important? 1-10
2- Formal Publication of Data: An Idea Whose Time Has Come? 11-14
3- Attribution and Credit: Beyond Print and Citations 15-22
4- Data Citation - Technical Issues - Identification 23-30
5- Maintaining the Scholarly Value Chain: Authenticity, Provenance, and Trust 31-42
6- Towards Data Attribution and Citation in the Life Sciences 43-48
7- Data Citation in the Earth and Physical Sciences 49-54
8- Data Citation for the Social Sciences 55-58
9- Data Citation in the Humanities: What's the Problem? 59-70
10- Three Legal Mechanisms for Sharing Data 71-76
11- Institutional Perspective on Credit Systems for Research Data 77-80
12- Issues of Time, Credit, and Peer Review 81-94
13- The DataCite Consortium 95-98
14- Data Citation in the Dataverse Network 99-106
15- Microsoft Academic Search: An Overview and Future Directions 107-108
16- Data Center-Library Cooperation in Data Publication in Ocean Science 109-112
17- Data Citation Mechanism and Service for Scientific Data: Defining a Framework for Biodiversity Data Publishers 113-116
18- How to Cite an Earth Science Dataset? 117-124
19- Citable Publications of Scientific Data 125-130
20- The SageCite Project 131-142
21- Developing Data Attribution and Citation Practices and Standards: An Academic Institution Perspective 143-146
22- Data Citation and Data Attribution: A View from the Data Center Perspective 147-150
23- Roles for Libraries in Data Citation 151-156
24- Linking Data to Publications: Towards the Execution of Papers 157-160
25- Linking, Finding, and Citing Data in Astronomy 161-172
26- Standards and Data Citations 173-176
27- Data Citation and Attribution: A Funder's Perspective 177-188
Breakout Session on Technical Issues 189-192
Breakout Session on Scientific Issues 193-198
Breakout Session on Institutional, Financial, Legal, and Socio-cultural Issues 199-208
Breakout Session on Institutional Roles and Perspectives 209-210
Appendix A: Agenda 211-216
Appendix B: Speaker and Moderator Biographical Information 217-220

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