The integration of disparate long-tail environmental datasets offers vast potential for new discoveries. Integrating such data can be daunting, however, because they may differ by temporal and spatial scales, units, semantics, data collection methodology, sampling design, and data organization. The process of harmonizing heterogeneous data may take as much as 80% of the time a researcher dedicates to data analysis. This special issue will explore the progress that is being made toward reducing the effort needed for pre-analysis data processing. Papers are invited that describe how data integration has been made more efficient through advances in:
Ontologies, semantics, or linked data;
Also welcome are papers about data integration that:
Compare the time savings of alternative approaches;
Describe technological gaps or shortcomings.
Dr. Kristin Vanderbilt
Southeast Environmental Research Center, Florida International University
Dr. Corinna Gries
Center for Limnology, University of Wisconsin
Please contact one of the guest editors above if you are interested in submitting an article. The guest editors will liaise with you to ensure that your paper fits the SI scope prior to submission.
Papers should be submitted via https://www.editorialmanager.com/ECOINF/default.aspx?pg=mainpage.html. Authors should select SI: Data Integration when they reach the “Article Type” step in the submission process.
Submission starts: 1 June 2020
Submission deadline: 30 October 2020
Final decision notification deadline: 30 April 2021