Royal School of Library and Information Sciences, Birketinget 6, DK 2300, Copenhagen, Denmark.
BMC Bioinformatics. 2011;12 Suppl 15(Suppl 15):S3. doi: 10.1186/1471-2105-12-S15-S3.
A professional recognition mechanism is required to encourage expedited publishing of an adequate volume of 'fit-for-use' biodiversity data. As a component of such a recognition mechanism, we propose the development of the Data Usage Index (DUI) to demonstrate to data publishers that their efforts of creating biodiversity datasets have impact by being accessed and used by a wide spectrum of user communities.
We propose and give examples of a range of 14 absolute and normalized biodiversity dataset usage indicators for the development of a DUI based on search events and dataset download instances. The DUI is proposed to include relative as well as species profile weighted comparative indicators.
We believe that in addition to the recognition to the data publisher and all players involved in the data life cycle, a DUI will also provide much needed yet novel insight into how users use primary biodiversity data. A DUI consisting of a range of usage indicators obtained from the GBIF network and other relevant access points is within reach. The usage of biodiversity datasets leads to the development of a family of indicators in line with well known citation-based measurements of recognition.
需要建立专业认可机制,鼓励加快发布足够数量的“适用”生物多样性数据。作为认可机制的一部分,我们建议开发数据使用指数(DUI),向数据发布者表明,其创建生物多样性数据集的工作具有影响力,因为广泛的用户群体正在访问和使用这些数据集。
我们提出并举例说明了 14 种绝对和归一化生物多样性数据集使用指标,用于根据搜索事件和数据集下载实例开发 DUI。DUI 建议包括相对和物种分布加权比较指标。
我们相信,除了对数据发布者和数据生命周期中所有涉及的参与者的认可外,DUI 还将为用户如何使用主要生物多样性数据提供急需的新见解。从 GBIF 网络和其他相关接入点获得的一系列使用指标组成的 DUI 是可以实现的。生物多样性数据集的使用导致了一系列指标的发展,这些指标与基于引文的公认度测量方法一致。