Key components of data publishing: using current best practices to develop a reference model for data publishing
Key components of data publishing: using current best practices to develop a reference model for data publishing
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数据发布的关键组成部分：使用当前的最佳实践来开发数据发布的参考模型
DOI：
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发表时间：
2016
影响因子：
1.5
通讯作者：
A. Whyte
中科院分区：
文献类型：
--
作者：
C. Austin;T. Bloom;S. Dallmeier;V. Khodiyar;Fiona L Murphy;A. Nurnberger;L. Raymond;M. Stockhause;J. Tedds;Mary Vardigan;A. Whyte
数据出版工作流程的可用性可能对研究人员、研究实践和出版范式以及供资战略和职业及研究评价产生巨大影响。我们提出了这样的工作流程的通用组件，为这些利益相关者提供一个参考模型。RDA-WDS数据发布工作流小组着手研究跨学科和机构的当前数据发布工作流格局。审查了一套不同的工作流程，以确定共同的组成部分和标准做法，包括基本的自助出版服务、机构数据储存库、长期项目、精选数据储存库以及联合数据日志和储存库安排。这一审查的结果已被用来推导出一个数据发布参考模型，包括通用组件。通过对当前数据发布环境的评估，我们强调了需要考虑的重要差距和挑战，特别是在处理更复杂的工作流及其集成到更广泛的社区框架中时。很明显，数据发布的情况是多种多样和动态的，存在着重大的差距和挑战。数据发布系统的不同组成部分需要尽最大可能以无缝和综合的方式工作，以支持共同理解和使用的标准的演变，并最终提高再现性。因此，我们主张对储存库和数据发布过程的所有部分执行现有标准，并在必要时制定新的标准。有效和值得信赖的数据发布应嵌入到记录的工作流程中。随着越来越多的研究团体寻求发布与其研究相关的数据，他们可以在此参考模型中确定的一个或多个组件上进行构建。
The availability of workflows for data publishing could have an enormous impact on researchers, research practices and publishing paradigms, as well as on funding strategies and career and research evaluations. We present the generic components of such workflows to provide a reference model for these stakeholders. The RDA-WDS Data Publishing Workflows group set out to study the current data-publishing workflow landscape across disciplines and institutions. A diverse set of workflows were examined to identify common components and standard practices, including basic self-publishing services, institutional data repositories, long-term projects, curated data repositories, and joint data journal and repository arrangements. The results of this examination have been used to derive a data-publishing reference model comprising generic components. From an assessment of the current data-publishing landscape, we highlight important gaps and challenges to consider, especially when dealing with more complex workflows and their integration into wider community frameworks. It is clear that the data-publishing landscape is varied and dynamic and that there are important gaps and challenges. The different components of a data-publishing system need to work, to the greatest extent possible, in a seamless and integrated way to support the evolution of commonly understood and utilized standards and—eventually—to increased reproducibility. We therefore advocate the implementation of existing standards for repositories and all parts of the data-publishing process, and the development of new standards where necessary. Effective and trustworthy data publishing should be embedded in documented workflows. As more research communities seek to publish the data associated with their research, they can build on one or more of the components identified in this reference model.
影响因子：
8
作者：
Mayernik, Matthew S.;Callaghan, Sarah;Worley, Steven
通讯作者：
Worley, Steven
世界气候数据中心质量评估理念及其在CMIP5数据中的应用
影响因子：
5.1
作者：
M. Stockhause;H. Höck;F. Toussaint;M. Lautenschlager
通讯作者：
M. Lautenschlager