Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, USA.
Computer Science, Iowa State University, Ames, IA, USA.
Database (Oxford). 2018 Jan 1;2018:bay088. doi: 10.1093/database/bay088.
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.
农业研究的未来取决于数据。如今,农业生物数据的数量之庞大,使得出色的数据管理变得至关重要。政府机构、出版商和科学资助者都要求对公共资助的研究制定数据管理计划。此外,当数据得到妥善存储、描述、集成和共享时,其价值会呈指数级增长,以便在未来的分析中能够轻松利用这些数据。AgBioData(https://www.agbiodata.org)是一个由农业生物数据库、数据档案和知识库的人员组成的联盟,他们致力于确定数据库开发、管理和管理中的常见问题,目标是创建更具可发现性、可访问性、互操作性和可重用性的数据库产品。我们努力促进所有参与科学数据的各方之间进行真实、详细、准确和明确的沟通。作为实现这一目标的一步,我们介绍了生物信息学、本体论、元数据和持久性、数据库平台、数据的编程(机器)访问、数据管理方面的沟通和可持续性的现状。每个部分都描述了这些主题的挑战和机遇,以及建议和最佳实践。