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An open source web application for distributed geospatial data exploration
The number of online data repositories is growing and they are becoming increasingly difficult to navigate. Data are scattered among different repositories, or hidden on personal or institutional servers. To access data, users must search extensively and rely on site-specific tools. These hurdles su...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371891/ https://www.ncbi.nlm.nih.gov/pubmed/30747919 http://dx.doi.org/10.1038/sdata.2019.14 |
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author | Curry, Patrick A. Moosdorf, Nils |
author_facet | Curry, Patrick A. Moosdorf, Nils |
author_sort | Curry, Patrick A. |
collection | PubMed |
description | The number of online data repositories is growing and they are becoming increasingly difficult to navigate. Data are scattered among different repositories, or hidden on personal or institutional servers. To access data, users must search extensively and rely on site-specific tools. These hurdles substantially inhibit data findability and accessibility; in particular, those in the long tail of data. We developed an open source web application, Spatial Data Hub, that is a geospatial data index, connected to remote Internet sources. It allows simultaneous display and comparison of disparate datasets on a single map. It aims to promote all data equally and provide the flexibility to connect to any storage system, effectively making long-tail datasets as visible as those in large, established repositories. Its low barrier of entry allows scientists and organizations to easily add data throughout the research process; enhancing transparency, openness and reproducibility. This flexibility and functionality makes Spatial Data Hub a novel platform for researchers to promote their work, develop new hypotheses and create new collaborations. |
format | Online Article Text |
id | pubmed-6371891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63718912019-02-13 An open source web application for distributed geospatial data exploration Curry, Patrick A. Moosdorf, Nils Sci Data Article The number of online data repositories is growing and they are becoming increasingly difficult to navigate. Data are scattered among different repositories, or hidden on personal or institutional servers. To access data, users must search extensively and rely on site-specific tools. These hurdles substantially inhibit data findability and accessibility; in particular, those in the long tail of data. We developed an open source web application, Spatial Data Hub, that is a geospatial data index, connected to remote Internet sources. It allows simultaneous display and comparison of disparate datasets on a single map. It aims to promote all data equally and provide the flexibility to connect to any storage system, effectively making long-tail datasets as visible as those in large, established repositories. Its low barrier of entry allows scientists and organizations to easily add data throughout the research process; enhancing transparency, openness and reproducibility. This flexibility and functionality makes Spatial Data Hub a novel platform for researchers to promote their work, develop new hypotheses and create new collaborations. Nature Publishing Group 2019-02-12 /pmc/articles/PMC6371891/ /pubmed/30747919 http://dx.doi.org/10.1038/sdata.2019.14 Text en Copyright © 2019, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Curry, Patrick A. Moosdorf, Nils An open source web application for distributed geospatial data exploration |
title | An open source web application for distributed geospatial data exploration |
title_full | An open source web application for distributed geospatial data exploration |
title_fullStr | An open source web application for distributed geospatial data exploration |
title_full_unstemmed | An open source web application for distributed geospatial data exploration |
title_short | An open source web application for distributed geospatial data exploration |
title_sort | open source web application for distributed geospatial data exploration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371891/ https://www.ncbi.nlm.nih.gov/pubmed/30747919 http://dx.doi.org/10.1038/sdata.2019.14 |
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