Next Article in Journal
Land Cover Extraction from High Resolution ZY-3 Satellite Imagery Using Ontology-Based Method
Next Article in Special Issue
Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community
Previous Article in Journal / Special Issue
The RADAR Project—A Service for Research Data Archival and Publication
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2016, 5(3), 30;

A Semi-Automated Workflow Solution for Data Set Publication

Environmental Sciences Division, Climate Change Science Institute (CCSI), Oak Ridge National Laboratory, Oak Ridge, TN 37831-6290, USA
Author to whom correspondence should be addressed.
Academic Editors: Constanze Curdt, Christian Willmes, Georg Bareth and Wolfgang Kainz
Received: 20 December 2015 / Revised: 18 February 2016 / Accepted: 25 February 2016 / Published: 8 March 2016
(This article belongs to the Special Issue Research Data Management)
Full-Text   |   PDF [4072 KB, uploaded 8 March 2016]   |  


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. View Full-Text
Keywords: data ingest; publication workflow; data deluge; terrestrial ecology; automation; aeospatial data ingest; publication workflow; data deluge; terrestrial ecology; automation; aeospatial

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Vannan, S.; Beaty, T.W.; Cook, R.B.; Wright, D.M.; Devarakonda, R.; Wei, Y.; Hook, L.A.; McMurry, B.F. A Semi-Automated Workflow Solution for Data Set Publication. ISPRS Int. J. Geo-Inf. 2016, 5, 30.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top