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AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture
The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the val...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146126/ https://www.ncbi.nlm.nih.gov/pubmed/30239679 http://dx.doi.org/10.1093/database/bay088 |
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author | Harper, Lisa Campbell, Jacqueline Cannon, Ethalinda K S Jung, Sook Poelchau, Monica Walls, Ramona Andorf, Carson Arnaud, Elizabeth Berardini, Tanya Z Birkett, Clayton Cannon, Steve Carson, James Condon, Bradford Cooper, Laurel Dunn, Nathan Elsik, Christine G Farmer, Andrew Ficklin, Stephen P Grant, David Grau, Emily Herndon, Nic Hu, Zhi-Liang Humann, Jodi Jaiswal, Pankaj Jonquet, Clement Laporte, Marie-Angélique Larmande, Pierre Lazo, Gerard McCarthy, Fiona Menda, Naama Mungall, Christopher J Munoz-Torres, Monica C Naithani, Sushma Nelson, Rex Nesdill, Daureen Park, Carissa Reecy, James Reiser, Leonore Sanderson, Lacey-Anne Sen, Taner Z Staton, Margaret Subramaniam, Sabarinath Tello-Ruiz, Marcela Karey Unda, Victor Unni, Deepak Wang, Liya Ware, Doreen Wegrzyn, Jill Williams, Jason Woodhouse, Margaret Yu, Jing Main, Doreen |
author_facet | Harper, Lisa Campbell, Jacqueline Cannon, Ethalinda K S Jung, Sook Poelchau, Monica Walls, Ramona Andorf, Carson Arnaud, Elizabeth Berardini, Tanya Z Birkett, Clayton Cannon, Steve Carson, James Condon, Bradford Cooper, Laurel Dunn, Nathan Elsik, Christine G Farmer, Andrew Ficklin, Stephen P Grant, David Grau, Emily Herndon, Nic Hu, Zhi-Liang Humann, Jodi Jaiswal, Pankaj Jonquet, Clement Laporte, Marie-Angélique Larmande, Pierre Lazo, Gerard McCarthy, Fiona Menda, Naama Mungall, Christopher J Munoz-Torres, Monica C Naithani, Sushma Nelson, Rex Nesdill, Daureen Park, Carissa Reecy, James Reiser, Leonore Sanderson, Lacey-Anne Sen, Taner Z Staton, Margaret Subramaniam, Sabarinath Tello-Ruiz, Marcela Karey Unda, Victor Unni, Deepak Wang, Liya Ware, Doreen Wegrzyn, Jill Williams, Jason Woodhouse, Margaret Yu, Jing Main, Doreen |
author_sort | Harper, Lisa |
collection | PubMed |
description | The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated and shared, so that they can be easily utilized in future analyses. AgBioData (https://www.agbiodata.org) is a consortium of people working at agricultural biological databases, data archives and knowledgbases who strive to identify common issues in database development, curation and management, with the goal of creating database products that are more Findable, Accessible, Interoperable and Reusable. We strive to promote authentic, detailed, accurate and explicit communication between all parties involved in scientific data. As a step toward this goal, we present the current state of biocuration, ontologies, metadata and persistence, database platforms, programmatic (machine) access to data, communication and sustainability with regard to data curation. Each section describes challenges and opportunities for these topics, along with recommendations and best practices. |
format | Online Article Text |
id | pubmed-6146126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61461262018-09-25 AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture Harper, Lisa Campbell, Jacqueline Cannon, Ethalinda K S Jung, Sook Poelchau, Monica Walls, Ramona Andorf, Carson Arnaud, Elizabeth Berardini, Tanya Z Birkett, Clayton Cannon, Steve Carson, James Condon, Bradford Cooper, Laurel Dunn, Nathan Elsik, Christine G Farmer, Andrew Ficklin, Stephen P Grant, David Grau, Emily Herndon, Nic Hu, Zhi-Liang Humann, Jodi Jaiswal, Pankaj Jonquet, Clement Laporte, Marie-Angélique Larmande, Pierre Lazo, Gerard McCarthy, Fiona Menda, Naama Mungall, Christopher J Munoz-Torres, Monica C Naithani, Sushma Nelson, Rex Nesdill, Daureen Park, Carissa Reecy, James Reiser, Leonore Sanderson, Lacey-Anne Sen, Taner Z Staton, Margaret Subramaniam, Sabarinath Tello-Ruiz, Marcela Karey Unda, Victor Unni, Deepak Wang, Liya Ware, Doreen Wegrzyn, Jill Williams, Jason Woodhouse, Margaret Yu, Jing Main, Doreen Database (Oxford) Original Article The future of agricultural research depends on data. The sheer volume of agricultural biological data being produced today makes excellent data management essential. Governmental agencies, publishers and science funders require data management plans for publicly funded research. Furthermore, the value of data increases exponentially when they are properly stored, described, integrated and shared, so that they can be easily utilized in future analyses. AgBioData (https://www.agbiodata.org) is a consortium of people working at agricultural biological databases, data archives and knowledgbases who strive to identify common issues in database development, curation and management, with the goal of creating database products that are more Findable, Accessible, Interoperable and Reusable. We strive to promote authentic, detailed, accurate and explicit communication between all parties involved in scientific data. As a step toward this goal, we present the current state of biocuration, ontologies, metadata and persistence, database platforms, programmatic (machine) access to data, communication and sustainability with regard to data curation. Each section describes challenges and opportunities for these topics, along with recommendations and best practices. Oxford University Press 2018-09-18 /pmc/articles/PMC6146126/ /pubmed/30239679 http://dx.doi.org/10.1093/database/bay088 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Harper, Lisa Campbell, Jacqueline Cannon, Ethalinda K S Jung, Sook Poelchau, Monica Walls, Ramona Andorf, Carson Arnaud, Elizabeth Berardini, Tanya Z Birkett, Clayton Cannon, Steve Carson, James Condon, Bradford Cooper, Laurel Dunn, Nathan Elsik, Christine G Farmer, Andrew Ficklin, Stephen P Grant, David Grau, Emily Herndon, Nic Hu, Zhi-Liang Humann, Jodi Jaiswal, Pankaj Jonquet, Clement Laporte, Marie-Angélique Larmande, Pierre Lazo, Gerard McCarthy, Fiona Menda, Naama Mungall, Christopher J Munoz-Torres, Monica C Naithani, Sushma Nelson, Rex Nesdill, Daureen Park, Carissa Reecy, James Reiser, Leonore Sanderson, Lacey-Anne Sen, Taner Z Staton, Margaret Subramaniam, Sabarinath Tello-Ruiz, Marcela Karey Unda, Victor Unni, Deepak Wang, Liya Ware, Doreen Wegrzyn, Jill Williams, Jason Woodhouse, Margaret Yu, Jing Main, Doreen AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture |
title | AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture |
title_full | AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture |
title_fullStr | AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture |
title_full_unstemmed | AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture |
title_short | AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture |
title_sort | agbiodata consortium recommendations for sustainable genomics and genetics databases for agriculture |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146126/ https://www.ncbi.nlm.nih.gov/pubmed/30239679 http://dx.doi.org/10.1093/database/bay088 |
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