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Formal Acknowledgement of Citizen Scientists' Contributions via Dynamic Data Citations

机译:通过动态数据引用形式正式确认公民科学家的贡献

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Data citation provides a valuable method for rewarding citizen scientists by formally acknowledging the contributions that they make to valuable scientific datasets. The difficulty is that citizen science databases that comprise volunteer-generated observations are highly dynamic and contain data contributed by a very large number of volunteers. Moreover, the scientists re-using the citizen science data often only want to cite a small sub-set of the entire database, as it existed at a specific date and time. The majority of data citation approaches assume that the dataset is static, owned by a single agent and the entire dataset is being cited (not just a subset). This paper describes, implements and evaluates an innovative approach to dynamic data citation that potentially overcomes many of the challenges associated with citing sub-sets of constantly changing citizen science datasets and thus enables formal recognition of the volunteers who contributed the data.
机译:数据引用通过正式承认他们对有价值的科学数据集所做的贡献,为奖励公民科学家提供了一种有价值的方法。困难在于,由志愿者生成的观察结果组成的公民科学数据库是高度动态的,并且包含大量志愿者提供的数据。此外,重复使用公民科学数据的科学家通常只想引用整个数据库的一小部分子集,因为它存在于特定的日期和时间。大多数数据引用方法都假定数据集是静态的,由单个代理拥有,并且整个数据集都被引用(而不仅仅是子集)。本文描述,实施和评估了一种动态数据引用的创新方法,该方法有可能克服与引用不断变化的公民科学数据集的子集相关的许多挑战,从而使对数据贡献者的正式认可成为可能。

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