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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...

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Detalles Bibliográficos
Autores principales: Curry, Patrick A., Moosdorf, Nils
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2019
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
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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.
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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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