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The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters

机译:WIsER元数据库:来自欧洲河流,湖泊和沿海水域的100多个生态数据集的关键

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摘要

In ecological sciences, the role of metadata (i.e. key information about a dataset) to make existing datasets visible and discoverable has become increasingly important. Within the EU-funded WISER project (Water bodies in Europe: Integrative Systems to assess Ecological status and Recovery), we designed a metadatabase to allow scientists to find the optimal data for their analyses. An online questionnaire helped to collect metadata from the data providers and an online query tool (http://www.wiser.eu/results/metadatabase/) facilitated data evaluation. The WISER metadatabase currently holds information on 114 datasets (22 river, 71 lake, 1 general freshwater and 20 coastal/transitional datasets), which also can be accessed by external scientists. We evaluate if generally used metadata standards (e.g. Darwin Core, ISO 19115, CSDGM, EML) are suitable for such specific purposes as WISER and suggest at least the linkage with standard metadata fields. Furthermore, we discuss whether the simple metadata documentation is enough for others to reuse a dataset andwhy there is still reluctance to publish both metadata and primary research data (i.e. time and financial constraints, misuse of data, abandoning intellectual property rights). We emphasise that metadata publication has major advantages as it makes datasets detectable by other scientists and generally makes a scientist’s work more visible.
机译:在生态科学中,元数据(即有关数据集的关键信息)在使现有数据集可见和可发现方面的作用变得越来越重要。在欧盟资助的WISER项目(欧洲水体:评估生态状况和恢复的综合系统)中,我们设计了元数据数据库,以使科学家们能够找到用于分析的最佳数据。一份在线调查表有助于从数据提供者那里收集元数据,而一个在线查询工具(http://www.wiser.eu/results/metadatabase/)有助于进行数据评估。 WISER元数据数据库目前保存着114个数据集(22条河流,71条湖泊,1条普通淡水和20条沿海/过渡数据集)的信息,外部科学家也可以访问这些数据集。我们评估常用的元数据标准(例如Darwin Core,ISO 19115,CSDGM,EML)是否适合诸如WISER等特定目的,并建议至少与标准元数据字段建立联系。此外,我们讨论了简单的元数据文档是否足以让其他人重用数据集,以及为什么仍然不愿意同时发布元数据和主要研究数据(即时间和财务限制,数据滥用,放弃知识产权)。我们强调,元数据发布具有主要优势,因为它可以使其他科学家可以检测到数据集,并且通常可以使科学家的工作更清晰可见。

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