Cargando…
The EcoData Retriever: Improving Access to Existing Ecological Data
Ecological research relies increasingly on the use of previously collected data. Use of existing datasets allows questions to be addressed more quickly, more generally, and at larger scales than would otherwise be possible. As a result of large-scale data collection efforts, and an increasing emphas...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681786/ https://www.ncbi.nlm.nih.gov/pubmed/23785456 http://dx.doi.org/10.1371/journal.pone.0065848 |
_version_ | 1782273322726195200 |
---|---|
author | Morris, Benjamin D. White, Ethan P. |
author_facet | Morris, Benjamin D. White, Ethan P. |
author_sort | Morris, Benjamin D. |
collection | PubMed |
description | Ecological research relies increasingly on the use of previously collected data. Use of existing datasets allows questions to be addressed more quickly, more generally, and at larger scales than would otherwise be possible. As a result of large-scale data collection efforts, and an increasing emphasis on data publication by journals and funding agencies, a large and ever-increasing amount of ecological data is now publicly available via the internet. Most ecological datasets do not adhere to any agreed-upon standards in format, data structure or method of access. Some may be broken up across multiple files, stored in compressed archives, and violate basic principles of data structure. As a result acquiring and utilizing available datasets can be a time consuming and error prone process. The EcoData Retriever is an extensible software framework which automates the tasks of discovering, downloading, and reformatting ecological data files for storage in a local data file or relational database. The automation of these tasks saves significant time for researchers and substantially reduces the likelihood of errors resulting from manual data manipulation and unfamiliarity with the complexities of individual datasets. |
format | Online Article Text |
id | pubmed-3681786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36817862013-06-19 The EcoData Retriever: Improving Access to Existing Ecological Data Morris, Benjamin D. White, Ethan P. PLoS One Research Article Ecological research relies increasingly on the use of previously collected data. Use of existing datasets allows questions to be addressed more quickly, more generally, and at larger scales than would otherwise be possible. As a result of large-scale data collection efforts, and an increasing emphasis on data publication by journals and funding agencies, a large and ever-increasing amount of ecological data is now publicly available via the internet. Most ecological datasets do not adhere to any agreed-upon standards in format, data structure or method of access. Some may be broken up across multiple files, stored in compressed archives, and violate basic principles of data structure. As a result acquiring and utilizing available datasets can be a time consuming and error prone process. The EcoData Retriever is an extensible software framework which automates the tasks of discovering, downloading, and reformatting ecological data files for storage in a local data file or relational database. The automation of these tasks saves significant time for researchers and substantially reduces the likelihood of errors resulting from manual data manipulation and unfamiliarity with the complexities of individual datasets. Public Library of Science 2013-06-13 /pmc/articles/PMC3681786/ /pubmed/23785456 http://dx.doi.org/10.1371/journal.pone.0065848 Text en © 2013 Morris et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Morris, Benjamin D. White, Ethan P. The EcoData Retriever: Improving Access to Existing Ecological Data |
title | The EcoData Retriever: Improving Access to Existing Ecological Data |
title_full | The EcoData Retriever: Improving Access to Existing Ecological Data |
title_fullStr | The EcoData Retriever: Improving Access to Existing Ecological Data |
title_full_unstemmed | The EcoData Retriever: Improving Access to Existing Ecological Data |
title_short | The EcoData Retriever: Improving Access to Existing Ecological Data |
title_sort | ecodata retriever: improving access to existing ecological data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681786/ https://www.ncbi.nlm.nih.gov/pubmed/23785456 http://dx.doi.org/10.1371/journal.pone.0065848 |
work_keys_str_mv | AT morrisbenjamind theecodataretrieverimprovingaccesstoexistingecologicaldata AT whiteethanp theecodataretrieverimprovingaccesstoexistingecologicaldata AT morrisbenjamind ecodataretrieverimprovingaccesstoexistingecologicaldata AT whiteethanp ecodataretrieverimprovingaccesstoexistingecologicaldata |