@article{67,
  keywords = {Agriculture, Breeding, Databases, Genetic, Gene Ontology, Genomics, Metadata, Surveys and Questionnaires},
  author = {Lisa Harper and Jacqueline Campbell and Ethalinda Cannon and Sook Jung and Monica Poelchau and Ramona Walls and Carson Andorf and Elizabeth Arnaud and Tanya Berardini and Clayton Birkett and Steve Cannon and James Carson and Bradford Condon and Laurel Cooper and Nathan Dunn and Christine Elsik and Andrew Farmer and Stephen Ficklin and David Grant and Emily Grau and Nic Herndon and Zhi-Liang Hu and Jodi Humann and Pankaj Jaiswal and Clement Jonquet and Marie-Angélique Laporte and Pierre Larmande and Gerard Lazo and Fiona McCarthy and Naama Menda and Christopher Mungall and Monica Munoz-Torres and Sushma Naithani and Rex Nelson and Daureen Nesdill and Carissa Park and James Reecy and Leonore Reiser and Lacey-Anne Sanderson and Taner Sen and Margaret Staton and Sabarinath Subramaniam and Marcela Tello-Ruiz and Victor Unda and Deepak Unni and Liya Wang and Doreen Ware and Jill Wegrzyn and Jason Williams and Margaret Woodhouse and Jing Yu and Doreen Main},
  title = {AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.},
  abstract = {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.},
  year = {2018},
  journal = {Database : the journal of biological databases and curation},
  volume = {2018},
  month = {2018 01 01},
  issn = {1758-0463},
  doi = {10.1093/database/bay088},
  language = {eng},
}