A semi-automated workflow solution for data set publication

Suresh Vannan, Tammy W. Beaty, Robert B. Cook, Daine M. Wright, Ranjeet Devarakonda, Yaxing Wei, Les A. Hook, Benjamin F. McMurry

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

To address the need for published data, considerable effort has gone into formalizing the process of data publication. From funding agencies to publishers, data publication has rapidly become a requirement. Digital Object Identifiers (DOI) and data citations have enhanced the integration and availability of data. The challenge facing data publishers now is to deal with the increased number of publishable data products and most importantly the difficulties of publishing diverse data products into an online archive. The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC), a NASA-funded data center, faces these challenges as it deals with data products created by individual investigators. This paper summarizes the challenges of curating data and provides a summary of a workflow solution that ORNL DAAC researcher and technical staffs have created to deal with publication of the diverse data products. The workflow solution presented here is generic and can be applied to data from any scientific domain and data located at any data center.

Original languageEnglish
Article number30
JournalISPRS International Journal of Geo-Information
Volume5
Issue number3
DOIs
StatePublished - Mar 2016

Funding

Acknowledgments: The authors would like to thank Earth Observing System Data and Information System (EOSDIS) for its support, NASA Interagency Agreement No. NNG14HH39I, and all members of the ORNL DAAC data archive for their contributions to the development of the Semi-Automated Ingest System. Oak Ridge National Laboratory is operated by UT-Battelle, LLC for the U.S. Department of Energy, under contract DE-AC05-00OR22725.

FundersFunder number
U.S. Department of EnergyDE-AC05-00OR22725
National Aeronautics and Space AdministrationNNG14HH39I

    Keywords

    • Aeospatial
    • Automation
    • Data deluge
    • Data ingest
    • Publication workflow
    • Terrestrial ecology

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