A Semi-Automated Workflow Solution for Data Set Publication

• Main Authors: Suresh Vannan, Tammy W. Beaty, Robert B. Cook, Daine M. Wright, Ranjeet Devarakonda, Yaxing Wei, Les A. Hook, Benjamin F. McMurry
• Format: Article
• Language: English
• Published: MDPI AG 2016-03-01
• Series: ISPRS International Journal of Geo-Information
• Subjects: data ingest; publication workflow; data deluge; terrestrial ecology; automation; aeospatial
• Online Access: http://www.mdpi.com/2220-9964/5/3/30

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.