Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Data Science, Spatial and Geographic Information Systems
- Keywords
- Crop Science, Landscape Genetics, Data Integration, Bambara groundnut, GIScience
- Copyright
- © 2017 Santos et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Integrating GIScience and Crop Science datasets: a study involving genetic, geographic and environmental data. PeerJ Preprints 5:e2248v4 https://doi.org/10.7287/peerj.preprints.2248v4
Abstract
Sharing and reusing data in research is a welcome and encouraged practice since it maximises the scientific outcomes given limited financial, material and human resources. Interdisciplinary research is considered to benefit from this practice, uniting researchers and data from two or more disciplines to advance fundamental understanding or tackle problems whose solution is beyond the limit of an individual body of knowledge. Here we discuss the challenges of combining data across disciplines, focusing in particular on associating geographic location data with genetic data in the context of a project involving Crop Science and Geospatial Information Science disciplines. This project aims to improve understanding of how geographical, environmental and anthropogenic factors affect the genetic variation in a neglected and underutilised crop called Bambara groundnut.
Author Comment
This is an updated version of the preprint.