"For Attribution - Developing Data Attribution and Citation Practices and Standards" ed. by Paul F. Uhlir

The purpose of the book is 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.

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.

Contents
Preface and Acknowledgments
Why Are the Attribution and Citation of Scientific Data Important?
2 Formal Publication of Data: An Idea Whose Time Has Come?
3 Attribution and Credit: Beyond Print and Citations
4 Data Citation - Technical Issues - Identification
5 Maintaining the Scholarly Value Chain: Authenticity, Provenance, and Trust
6 Towards Data Attribution and Citation in the Life Sciences
7 Data Citation in the Earth and Physical Sciences
8 Data Citation for the Social Sciences
9 Data Citation in the Humanities: What's the Problem?
10 Three Legal Mechanisms for Sharing Data
11 Institutional Perspective on Credit Systems for Research Data
12 Issues of Time, Credit, and Peer Review
13 The DataCite Consortium
14 Data Citation in the Dataverse Network
15 Microsoft Academic Search: An Overview and Future Directions
16 Data Center-Library Cooperation in Data Publication in Ocean Science
17 Data Citation Mechanism and Service for Scientific Data: Defining a Framework for Biodiversity Data Publishers
18 Howto Cite an Earth Science Dataset?
19 Citable Publications of Scientific Data
20 The SageCite Project
21 Developing Data Attribution and Citation Practices and Standards: An Academic Institution Perspective
22 Data Citation and Data Attribution: A View from the Data Center Perspective
23 Roles for Libraries in Data Citation
24 Linking Data to Publications: Towards the Execution of Papers
25 Linking, Finding, and Citing Data in Astronomy
26 Standards and Data Citations
27 Data Citation and Attribution: A Funder’s Perspective
Breakout Session on Technical Issues
Breakout Session on Scientific Issues
Breakout Session on Institutional, Financial. Legal, and Socio-cultural Issues
Breakout Session on Institutional Roles and Perspectives
Appendix A: Agenda
Appendix B: Speaker and Moderator Biographical Information

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