A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles.

A tool for assessing alignment of biomedical data repositories with open, FAIR, citation and trustworthy principles.
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DOI:
10.1371/journal.pone.0253538
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Martone ME
Martone ME
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Murphy F;Bar-Sinai M;Martone ME

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鉴于正在努力改进科学数据的处理和长期提供方式,生物医学数据储存库的运作受到越来越多的关注。多个小组已经提出了生物医学知识库应该支持的功能的建议,其中许多使用FAIR数据原则的要求作为指导方针。然而,FAIR只是开放科学界提出的一套原则。它们与管理开放科学、数据引用和可信度的原则相结合,所有这些都是生物医学数据库需要支持的重要方面。这些共同定义了一个数据存储库的框架,我们称之为OFCT:开放,公平,可引用和值得信赖。在这里,我们开发了一个工具,使用开源的PolicyModels工具包,试图操作的关键方面OFCT原则和试点的仪器,通过评估八个生物医学社区存储库NIDDK信息网络(dkNET.org)。存储库包括专注于特定数据类型或领域(在本例中为糖尿病和代谢组学)的专家存储库和接受所有数据类型和领域的通才存储库。这项工作的目标是了解当前生物医学数据存储库的设计与这些原则的一致程度,并为dkNET列表增加额外的信息,这些信息对试图选择存储库的研究人员可能很重要,例如,存储库是否完全支持数据引用?评估于2020年3月至11月期间通过检查文件和作者与研究中心的互动进行。总的来说,尽管在我们的样本中很少有明确承认任何OFCT原则的,但大多数存储库至少提供了一些支持。
Increasing attention is being paid to the operation of biomedical data repositories in light of efforts to improve how scientific data is handled and made available for the long term. Multiple groups have produced recommendations for functions that biomedical repositories should support, with many using requirements of the FAIR data principles as guidelines. However, FAIR is but one set of principles that has arisen out of the open science community. They are joined by principles governing open science, data citation and trustworthiness, all of which are important aspects for biomedical data repositories to support. Together, these define a framework for data repositories that we call OFCT: Open, FAIR, Citable and Trustworthy. Here we developed an instrument using the open source PolicyModels toolkit that attempts to operationalize key aspects of OFCT principles and piloted the instrument by evaluating eight biomedical community repositories listed by the NIDDK Information Network (dkNET.org). Repositories included both specialist repositories that focused on a particular data type or domain, in this case diabetes and metabolomics, and generalist repositories that accept all data types and domains. The goal of this work was both to obtain a sense of how much the design of current biomedical data repositories align with these principles and to augment the dkNET listing with additional information that may be important to investigators trying to choose a repository, e.g., does the repository fully support data citation? The evaluation was performed from March to November 2020 through inspection of documentation and interaction with the sites by the authors. Overall, although there was little explicit acknowledgement of any of the OFCT principles in our sample, the majority of repositories provided at least some support for their tenets.
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