Streamlined capture and curation of unpublished data

简化未发布数据的捕获和管理

• 批准号: 9980493
• 负责人: TIM SCHEDL
• 金额: $ 55.84万
• 依托单位: CALIFORNIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9980493
• 关键词: Archives; Biological; Biology; Biomedical Research; Common Data Element; Communities; Consumption; Controlled Vocabulary; Data; Data Display; Data Reporting; Data Set; Data Storage and Retrieval; Databases; Deposition; Dictyostelium discoideum; Ensure; Fission Yeast; FlyBase; Funding; Funding Agency; Health; Incentives; Information Resources; Ingestion; Intelligence; Internet; Journals; Knowledge; Life Cycle Stages; Literature; Manuals; Metadata; Methods; Modeling; Ontology; Output; Peer Review; Positioning Attribute; Process; Production; Public Domains; Publications; Publishing; Rat Genome Database; Reagent; Reproducibility; Research; Research Personnel; Resources; Saccharomyces; Scientist; Standardization; Time; United States National Institutes of Health; Work; WormBase; XenBase; Xenopus laevis; Zebrafish; cost; data ecosystem; data exchange; data standards; data submission; data warehouse; design; digital; empowered; experimental study; genome database; genome resource; improved; indexing; interoperability; member; model organisms databases; mouse genome; novel; preservation; pressure; repository; tool; web interface

Project Summary/Abstract The Streamlined capture and curation of unpublished data project will establish a new data capture and dissemination paradigm that automatically and simultaneously captures and ingests biomedical data into authoritative repositories and publishes them in an online, open access journal `Micropublication: biology'. This new platform will introduce a curation paradigm shift, allowing authors to directly submit the output of their research into pre-designed intelligent web forms. Upon submission, these forms will seamlessly integrate, atomize, and submit metadata into authoritative data repositories enhancing the efficiency and accuracy of curation. Simultaneously, the process will automatically generate a `publication-like' PDF file that will be publishable and citable according to findable, accessible, interoperable and reproducible (FAIR) data principles. We call these single result experiments, streamlined with no narrative “micropublications”, ideal for among other things, results that often go unpublished. Authors will preserve provenance and establish credit for their research and the automated flow of data they submit will be made publicly accessible in established and authoritative data repositories such as the Model Organism Database (MOD) members of the Allied Genome Resources (AGR): FlyBase, Mouse Genome Database (MGI), Rat Genome Database (RGD), Saccharomyces Genome Database (SGD), WormBase, Zebrafish Model Organism Database (ZFIN), for further re-use. Through the aforementioned repositories, all submitted metadata will automatically be integrated with existing datasets that have been manually extracted from the literature for almost 2 decades. These data will be peer reviewed ensuring they are of high quality and that they meet community standards. Micropublications will be citable, discoverable, and will comply with the Minimum Information Standards for scientific data reporting. In addition, researchers will be able to share both positive and negative data with the scientific community, fulfilling funding agencies' requirements to share all data coming from publicly funded research. After establishing this data retrieval/publication pipeline with WormBase first, and AGR member databases, we will work to expand to non-member, but otherwise critical biomedical model organism databases, such as Xenbase (Xenopus laevis and tropicalis Database), DictyBase (Dictyostelium discoideum database), PomBase (Schizosaccharomyces pombe Database), among others.

项目总结/摘要 未发布数据项目的简化捕获和策展将建立一个新的数据库， 捕获和传播模式，自动并同时捕获和摄取 将生物医学数据放入权威知识库，并以在线开放获取的方式发布 《微型出版物：生物学》杂志。这个新平台将引入策展模式的转变， 允许作者直接将他们的研究成果提交到预先设计的智能网络中 forms.提交后，这些表单将无缝集成、重新配置和提交元数据 转化为权威的数据存储库，提高了策展的效率和准确性。 同时，该过程将自动生成一个“类似出版物”的PDF文件， 根据可查找、可访问、可互操作和可复制（FAIR）， 数据原则。我们称之为单一结果实验，没有叙述 “微型出版物”，尤其适用于经常未发表的结果。作者将 保护出处，为他们的研究和数据的自动流动建立信誉， 提交数据将在已建立的权威数据储存库中公开提供， 作为联合基因组资源（AGR）的模式生物数据库（MOD）成员： FlyBase，小鼠基因组数据库（MGI），大鼠基因组数据库（RGD），酵母 基因组数据库（SGD）、WormBase、斑马鱼模式生物数据库（ZFIN）， 重复使用。通过上述存储库，所有提交的元数据将自动 与从文献中手动提取的现有数据集集成， 差不多二十年了这些数据将经过同行审查，以确保它们具有高质量， 符合社区标准。微型出版物应可引用、可复制，并符合 科学数据报告的最低信息标准。此外，研究人员 将能够与科学界分享积极和消极的数据， 资助机构要求共享来自公共资助研究的所有数据。后 首先与WormBase建立数据检索/发布管道，AGR成员 数据库，我们将努力扩大到非成员，但在其他关键的生物医学模型 生物数据库，如Xenbase（非洲爪蟾和热带爪蟾数据库）、DictyBase （盘基网柄菌数据库），PomBase（粟酒裂殖酵母数据库）， 还有其他的