Why are the attribution and citation of scientific data important?. Borgman, C. In For Attribution: Developing Data Attribution and Citation Practices and Standards: Summary of an International Workshop, pages 1–10. The National Academies Press, Washington, DC, 2012. ![Why are the attribution and citation of scientific data important? [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@incollection{national_research_council_why_2012,
address = {Washington, DC},
title = {Why are the attribution and citation of scientific data important?},
isbn = {978-0-309-26728-1},
url = {https://www.nap.edu/catalog/13564/for-attribution-developing-data-attribution-and-citation-practices-and-standards},
abstract = {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.},
language = {English},
urldate = {2021-11-17},
booktitle = {For {Attribution}: {Developing} {Data} {Attribution} and {Citation} {Practices} and {Standards}: {Summary} of an {International} {Workshop}},
publisher = {The National Academies Press},
author = {Borgman, C.},
editor = {Uhlir, Paul E.},
collaborator = {{National Research Council}},
year = {2012},
doi = {10.17226/13564},
keywords = {Computers and Information Technology, Policy for Science and Technology},
pages = {1--10},
}
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