For attribution-- : developing data attribution and citation practices and standards : summary of an international workshop /
"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 chal...
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| 主要作者: | |
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| 企業作者: | |
| 格式: | 電子 Conference Proceeding 電子書 |
| 語言: | 英语 |
| 出版: |
Washington, District of Columbia :
The National Academies Press,
[2012]
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| 主題: | |
| 在線閱讀: | An electronic book accessible through the World Wide Web; click to view |
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書本目錄:
- Why are the attribution and citation of scientific data important?
- Formal publication of data: an idea whose time has come?
- Attribution and credit: beyond print and citations
- Data citation, technical issues, identification
- Maintaining the scholarly value chain: authenticity, provenance, and trust
- Towards data attribution and citation iin the life sciences
- Data citation in the earth and physical sciences
- Data citation in the social sciences
- Data citation in the humanities: what the problem?
- Three legal mechanisms for sharing data
- Institutional perspective on credit systems for research data
- Issues of time, credit, and peer review
- The DataCite Consortium
- Data citatioin in the Dataverse Network℗ʼ
- Microsoft Academic Search: an overview and future directions
- Data center-library cooperation in data publication in ocean science
- Data citation mechanism and service for scientific data: defining a framework for biodiversity data publishers
- How to cite an earth science dataset?
- Citable publications of scientific data
- The SageCite Project
- Developing data attribution and citation practices and standards: an academic institution perspective
- Data citation and data attribution: a view from the data center perspective
- Roles for libraries in data citation
- Linking data to publications: towards the execution of papers
- Linking, finding, and citing data in astronomy
- Standards and data citations
- Data citation and attribution: a funder's perspective.