TY - JOUR
T1 - AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture
AU - Harper, Lisa
AU - Campbell, Jacqueline
AU - Cannon, Ethalinda K.S.
AU - Jung, Sook
AU - Poelchau, Monica
AU - Walls, Ramona
AU - Andorf, Carson
AU - Arnaud, Elizabeth
AU - Berardini, Tanya Z.
AU - Birkett, Clayton
AU - Cannon, Steve
AU - Carson, James
AU - Condon, Bradford
AU - Cooper, Laurel
AU - Dunn, Nathan
AU - Elsik, Christine G.
AU - Farmer, Andrew
AU - Ficklin, Stephen P.
AU - Grant, David
AU - Grau, Emily
AU - Herndon, Nic
AU - Hu, Zhi Liang
AU - Humann, Jodi
AU - Jaiswal, Pankaj
AU - Jonquet, Clement
AU - Laporte, Marie Angélique
AU - Larmande, Pierre
AU - Lazo, Gerard
AU - McCarthy, Fiona
AU - Menda, Naama
AU - Mungall, Christopher J.
AU - Munoz-Torres, Monica C.
AU - Naithani, Sushma
AU - Nelson, Rex
AU - Nesdill, Daureen
AU - Park, Carissa
AU - Reecy, James
AU - Reiser, Leonore
AU - Sanderson, Lacey Anne
AU - Sen, Taner Z.
AU - Staton, Margaret
AU - Subramaniam, Sabarinath
AU - Tello-Ruiz, Marcela Karey
AU - Unda, Victor
AU - Unni, Deepak
AU - Wang, Liya
AU - Ware, Doreen
AU - Wegrzyn, Jill
AU - Williams, Jason
AU - Woodhouse, Margaret
AU - Yu, Jing
AU - Main, Doreen
N1 - Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
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U2 - 10.1093/database/bay088
DO - 10.1093/database/bay088
M3 - Article
C2 - 30239679
AN - SCOPUS:85057262680
SN - 1758-0463
VL - 2018
JO - Database
JF - Database
IS - 2018
ER -