Implementation of data citations and persistent identifiers at the ORNL DAAC

Robert B. Cook; Suresh K.S. Vannan; Benjamin F. McMurry; Daine M. Wright; Y. Wei; Alison G. Boyer; J. H. Kidder

doi:10.1016/j.ecoinf.2016.03.003

Implementation of data citations and persistent identifiers at the ORNL DAAC

Robert B. Cook, Suresh K.S. Vannan, Benjamin F. McMurry, Daine M. Wright, Y. Wei, Alison G. Boyer, J. H. Kidder

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

A requirement of data archives is that data holdings can be easily discovered, accessed, and used. One approach to improving data discovery and access is through data citations coupled with Digital Object Identifiers (DOI). The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) since 1998 has issued data citations that have been accepted and used in peer-reviewed journals. Citation elements established by the ORNL DAAC are similar to those used for journal articles (authors, year, product title, and information to locate), and beginning in 2007 included a DOI that is persistent, actionable, specific, and complete. The approach used at the ORNL DAAC also allows for referring to subsets of the data, by including within the citation the temporal and spatial extent, and parameters used. Data citations allow readers to find data and reproduce the results of the research article, and also use those data to test new hypotheses, design new sample collections, or construct or evaluate models. The ORNL DAAC uses a manual method to compile data citations and has developed a database that links research articles and their use of specific ORNL DAAC data products. Automation of the data citation compilation process, as is the case for articles, will enable data citations to become a more common practice. In addition to enhancing discovery and access of the data used in a research article, the citation gives credit to data generators, data centers and their funders, and, through citation indices, determine the scientific impact of a data set.

Original language	English
Pages (from-to)	10-16
Number of pages	7
Journal	Ecological Informatics
Volume	33
DOIs	https://doi.org/10.1016/j.ecoinf.2016.03.003
State	Published - May 1 2016

Funding

NASA Project No. NNG14HH39I provided funding for this work. We would like to recognize Charles Vorosmarty, City College of New York, and Chris Sabine, NOAA, who planted the seeds for the ideas behind data citations (in 1998) and use of DOIs (in 2005), respectively at the ORNL DAAC. The National Snow and Ice Data Center provided early examples of data product citations. In addition, the authors acknowledge, Bethan Keall and Hylke Koers, Elsevier Ltd. for discussions and implementing the DOI linking service with Science Direct. Madison Langseth (USGS) and Ellen B. Stroebel assisted with quality review of the ORNL DAAC's citation database.

Keywords

Data citation
Data citation index
Open data
Scientific impact

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10.1016/j.ecoinf.2016.03.003

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abstract = "A requirement of data archives is that data holdings can be easily discovered, accessed, and used. One approach to improving data discovery and access is through data citations coupled with Digital Object Identifiers (DOI). The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) since 1998 has issued data citations that have been accepted and used in peer-reviewed journals. Citation elements established by the ORNL DAAC are similar to those used for journal articles (authors, year, product title, and information to locate), and beginning in 2007 included a DOI that is persistent, actionable, specific, and complete. The approach used at the ORNL DAAC also allows for referring to subsets of the data, by including within the citation the temporal and spatial extent, and parameters used. Data citations allow readers to find data and reproduce the results of the research article, and also use those data to test new hypotheses, design new sample collections, or construct or evaluate models. The ORNL DAAC uses a manual method to compile data citations and has developed a database that links research articles and their use of specific ORNL DAAC data products. Automation of the data citation compilation process, as is the case for articles, will enable data citations to become a more common practice. In addition to enhancing discovery and access of the data used in a research article, the citation gives credit to data generators, data centers and their funders, and, through citation indices, determine the scientific impact of a data set.",

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Implementation of data citations and persistent identifiers at the ORNL DAAC

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Keywords

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