Data always getting bigger—A scalable DOI architecture for big and expanding scientific data

Giri Prakash; Biva Shrestha; Katarina Younkin; Rolanda Jundt; Mark Martin; Jannean Elliott

doi:10.3390/data1020011

Data always getting bigger—A scalable DOI architecture for big and expanding scientific data

Giri Prakash, Biva Shrestha, Katarina Younkin, Rolanda Jundt, Mark Martin, Jannean Elliott

Environmental Sciences Division

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

5 Scopus citations

Abstract

The Atmospheric Radiation Measurement (ARM) Data Archive established a data citation strategy based on Digital Object Identifiers (DOIs) for the ARM datasets in order to facilitate citing continuous and diverse ARM datasets in articles and other papers. This strategy eases the tracking of data provided as supplements to articles and papers. Additionally, it allows future data users and the ARM Climate Research Facility to easily locate the exact data used in various articles. Traditionally, DOIs are assigned to individual digital objects (a report or a data table), but for ARM datasets, these DOIs are assigned to an ARM data product. This eliminates the need for creating DOIs for numerous components of the ARM data product, in turn making it easier for users to manage and cite the ARM data with fewer DOIs. In addition, the ARM data infrastructure team, with input from scientific users, developed a citation format and an online data citation generation tool for continuous data streams. This citation format includes DOIs along with additional details such as spatial and temporal information.

Original language	English
Article number	11
Journal	Data
Volume	1
Issue number	2
DOIs	https://doi.org/10.3390/data1020011
State	Published - Sep 2016

Funding

Acknowledgments: The ARM Climate Research Facility is funded through the DOE Office of Science and is managed through the Biological and Environmental Research (BER) Division. ARM is supported by a large number of dedicated individuals—far too many to mention here. We would like to specifically thank Sally McFarlane, Rick Petty, and Ashley Williamson at DOE headquarters as well as the members of the joint ARM/ASR Science and Infrastructure staff (www.arm.gov/about/contacts) for their guidance and support. We would also like to thank DOE Office of Scientific and Technical Information (OSTI) staff for their support in providing DOI service. The ARM Climate Research Facility is funded through the DOE Office of Science and is managed through the Biological and Environmental Research (BER) Division. ARM is supported by a large number of dedicated individuals?far too many to mention here. We would like to specifically thank Sally McFarlane, Rick Petty, and Ashley Williamson at DOE headquarters as well as the members of the joint ARM/ASR Science and Infrastructure staff (www.arm.gov/about/contacts) for their guidance and support. We would also like to thank DOE Office of Scientific and Technical Information (OSTI) staff for their support in providing DOI service.

Keywords

Arm data citation
Atmospheric Radiation Measurement
Continuous data citation
DOIs
Data citation
Digital Object Identifier

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10.3390/data1020011

Cite this

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abstract = "The Atmospheric Radiation Measurement (ARM) Data Archive established a data citation strategy based on Digital Object Identifiers (DOIs) for the ARM datasets in order to facilitate citing continuous and diverse ARM datasets in articles and other papers. This strategy eases the tracking of data provided as supplements to articles and papers. Additionally, it allows future data users and the ARM Climate Research Facility to easily locate the exact data used in various articles. Traditionally, DOIs are assigned to individual digital objects (a report or a data table), but for ARM datasets, these DOIs are assigned to an ARM data product. This eliminates the need for creating DOIs for numerous components of the ARM data product, in turn making it easier for users to manage and cite the ARM data with fewer DOIs. In addition, the ARM data infrastructure team, with input from scientific users, developed a citation format and an online data citation generation tool for continuous data streams. This citation format includes DOIs along with additional details such as spatial and temporal information.",

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Data always getting bigger—A scalable DOI architecture for big and expanding scientific data

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