Suppr超能文献

AgBioData 联盟关于农业可持续基因组学和遗传学数据库的建议。

AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

机构信息

Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.

Computer Science, Iowa State University, Ames, IA, USA.

出版信息

Database (Oxford). 2018 Jan 1;2018:bay088. doi: 10.1093/database/bay088.

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.

相似文献

5
Best practices for genetic and genomic data archiving.遗传和基因组数据归档的最佳实践。
Nat Ecol Evol. 2024 Jul;8(7):1224-1232. doi: 10.1038/s41559-024-02423-7. Epub 2024 May 24.

引用本文的文献

7
The Arabidopsis Information Resource in 2024.2024 年的拟南芥信息资源。
Genetics. 2024 May 7;227(1). doi: 10.1093/genetics/iyae027.

本文引用的文献

3
Reactome graph database: Efficient access to complex pathway data.Reactome 图形数据库:高效访问复杂的通路数据。
PLoS Comput Biol. 2018 Jan 29;14(1):e1005968. doi: 10.1371/journal.pcbi.1005968. eCollection 2018 Jan.
5
Attitudes and norms affecting scientists' data reuse.影响科学家数据复用的态度和规范。
PLoS One. 2017 Dec 27;12(12):e0189288. doi: 10.1371/journal.pone.0189288. eCollection 2017.
10
Ensembl 2018.Ensembl 2018.
Nucleic Acids Res. 2018 Jan 4;46(D1):D754-D761. doi: 10.1093/nar/gkx1098.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验