Kratz John Ernest, Strasser Carly
California Digital Library, University of California Office of the President, Oakland, CA, United States of America.
PLoS One. 2015 Feb 23;10(2):e0117619. doi: 10.1371/journal.pone.0117619. eCollection 2015.
Data "publication" seeks to appropriate the prestige of authorship in the peer-reviewed literature to reward researchers who create useful and well-documented datasets. The scholarly communication community has embraced data publication as an incentive to document and share data. But, numerous new and ongoing experiments in implementation have not yet resolved what a data publication should be, when data should be peer-reviewed, or how data peer review should work. While researchers have been surveyed extensively regarding data management and sharing, their perceptions and expectations of data publication are largely unknown. To bring this important yet neglected perspective into the conversation, we surveyed ∼ 250 researchers across the sciences and social sciences- asking what expectations"data publication" raises and what features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication. We found that researcher expectations of data publication center on availability, generally through an open database or repository. Few respondents expected published data to be peer-reviewed, but peer-reviewed data enjoyed much greater trust and prestige. The importance of adequate metadata was acknowledged, in that almost all respondents expected data peer review to include evaluation of the data's documentation. Formal citation in the reference list was affirmed by most respondents as the proper way to credit dataset creators. Citation count was viewed as the most useful measure of impact, but download count was seen as nearly as valuable. These results offer practical guidance for data publishers seeking to meet researcher expectations and enhance the value of published data.
数据“出版”旨在获取同行评审文献中作者身份的声望，以奖励那些创建了有用且记录完备数据集的研究人员。学术交流界已将数据出版视为记录和共享数据的一种激励措施。但是，众多正在进行的新实施实验尚未解决数据出版应该是什么、数据何时应接受同行评审，或者数据同行评审应如何运作等问题。虽然已经广泛调查了研究人员关于数据管理和共享的情况，但他们对数据出版的看法和期望却 largely 未知。为了将这个重要但被忽视的观点纳入讨论，我们对约250名来自自然科学和社会科学领域的研究人员进行了调查——询问“数据出版”引发了哪些期望，以及哪些特征对于评估数据出版的可信度、评估其影响力和提升其声望会是有用的。我们发现，研究人员对数据出版的期望主要集中在可用性上，通常是通过开放数据库或存储库。很少有受访者期望已发表的数据接受同行评审，但经过同行评审的数据享有更高的信任度和声望。大家认识到了足够元数据的重要性，因为几乎所有受访者都期望数据同行评审包括对数据文档的评估。大多数受访者认可在参考文献列表中进行正式引用是认可数据集创建者的恰当方式。引用次数被视为衡量影响力最有用的指标，但下载次数也被认为几乎同样有价值。这些结果为寻求满足研究人员期望并提升已发表数据价值的数据发布者提供了实用指导。
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