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AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture
- Source :
- Database : the journal of biological databases and curation, vol 2018, iss 2018, Harper, L; Campbell, J; Cannon, EKS; Jung, S; Poelchau, M; Walls, R; et al.(2018). AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database, 2018(2018). doi: 10.1093/database/bay088. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1g85955j, Database-Weston, Database-Weston-, Online Inc., 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩, Database-Weston-, 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩
- Publication Year :
- 2018
- Publisher :
- eScholarship, University of California, 2018.
-
Abstract
- © The Author(s) 2018. Published by Oxford University Press. 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.
- Subjects :
- [SDV.SA]Life Sciences [q-bio]/Agricultural sciences
0301 basic medicine
Computer science
Best practice
Data management
Interoperability
Biological database
Breeding
computer.software_genre
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Databases
0302 clinical medicine
Genetic
Library and Information Studies
Surveys and Questionnaires
Databases, Genetic
2. Zero hunger
Biological data
Metadata
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
Data curation
Database
business.industry
[INFO.INFO-WB]Computer Science [cs]/Web
Agriculture
Genomics
Data Format
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
030104 developmental biology
Data access
Gene Ontology
[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]
Zero Hunger
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
General Agricultural and Biological Sciences
business
computer
030217 neurology & neurosurgery
Information Systems
Subjects
Details
- ISSN :
- 01624105
- Database :
- OpenAIRE
- Journal :
- Database : the journal of biological databases and curation, vol 2018, iss 2018, Harper, L; Campbell, J; Cannon, EKS; Jung, S; Poelchau, M; Walls, R; et al.(2018). AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture. Database, 2018(2018). doi: 10.1093/database/bay088. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1g85955j, Database-Weston, Database-Weston-, Online Inc., 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩, Database-Weston-, 2018, 2018, pp.#bay088. ⟨10.1093/database/bay088⟩
- Accession number :
- edsair.doi.dedup.....f08dbfdbf88436e21230f13ab6584c5e
- Full Text :
- https://doi.org/10.1093/database/bay088.