TY - JOUR
KW - Agriculture
KW - Breeding
KW - Databases, Genetic
KW - Gene Ontology
KW - Genomics
KW - Metadata
KW - Surveys and Questionnaires
AU - Lisa Harper
AU - Jacqueline Campbell
AU - Ethalinda Cannon
AU - Sook Jung
AU - Monica Poelchau
AU - Ramona Walls
AU - Carson Andorf
AU - Elizabeth Arnaud
AU - Tanya Berardini
AU - Clayton Birkett
AU - Steve Cannon
AU - James Carson
AU - Bradford Condon
AU - Laurel Cooper
AU - Nathan Dunn
AU - Christine Elsik
AU - Andrew Farmer
AU - Stephen Ficklin
AU - David Grant
AU - Emily Grau
AU - Nic Herndon
AU - Zhi-Liang Hu
AU - Jodi Humann
AU - Pankaj Jaiswal
AU - Clement Jonquet
AU - Marie-Angélique Laporte
AU - Pierre Larmande
AU - Gerard Lazo
AU - Fiona McCarthy
AU - Naama Menda
AU - Christopher Mungall
AU - Monica Munoz-Torres
AU - Sushma Naithani
AU - Rex Nelson
AU - Daureen Nesdill
AU - Carissa Park
AU - James Reecy
AU - Leonore Reiser
AU - Lacey-Anne Sanderson
AU - Taner Sen
AU - Margaret Staton
AU - Sabarinath Subramaniam
AU - Marcela Tello-Ruiz
AU - Victor Unda
AU - Deepak Unni
AU - Liya Wang
AU - Doreen Ware
AU - Jill Wegrzyn
AU - Jason Williams
AU - Margaret Woodhouse
AU - Jing Yu
AU - Doreen Main
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.
BT - Database : the journal of biological databases and curation
C1 - http://www.ncbi.nlm.nih.gov/pubmed/30239679?dopt=Abstract
DA - 2018 01 01
DO - 10.1093/database/bay088
J2 - Database (Oxford)
LA - eng
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.
PY - 2018
T2 - Database : the journal of biological databases and curation
TI - AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.
VL - 2018
SN - 1758-0463
ER -