Recently, the process of data opening has intensified, especially thanks to the involvement of many institutions that have not yet shared their data. Some entities provided data to the public long before the trend of open data was pushed to a wider level, but many institutions have only engaged in this process recently thanks to a systemic state-level effort to make data repositories available to the public. Therefore, there are many new potential sources of data available for research, including the area of water management. This article analyses the current state of available data in the Czech Republic—their content, structure, format, availability, costs and other indicators that affect the usability of these data for independent researchers in the area of water management. The case study was conducted to ascertain the levels of accessibility and usability of data in open data repositories and the possibilities of obtaining data from IoT (Internet of Things) devices such as networked sensors where required data is either not available from existing sources, too costly, or otherwise unsuitable for the research. The goal of the underlying research was to assess the impact/ratio of various watershed factors based on monitored indicators of water pollution in a model watershed. Such information would help propose measures for reducing the volume of pollution resulting in increased security in terms of available drinking water for the capital city Prague.

中文翻译：

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物联网和开放数据存储库用于分析水污染的可用性。捷克共和国的个案研究

近来，数据开放的过程越来越激烈，尤其是由于许多尚未共享数据的机构的参与。一些实体早在开放数据趋势被推向更广阔的水平之前就已经向公众提供数据，但是由于国家级系统的努力使数据存储库向公众开放，许多机构直到最近才参与此过程。因此，有许多新的潜在数据来源可供研究，包括水管理领域。本文分析了捷克共和国现有数据的现状-它们的内容，结构，格式，可用性，成本以及其他影响水管理领域独立研究人员的数据可用性的指标。进行案例研究是为了确定开放数据存储库中数据的可访问性和可用性级别，以及从物联网（IoT）设备（例如联网传感器）获取数据的可能性，其中所需数据要么无法从现有来源获得，要么成本很高，否则不适合该研究。基础研究的目的是基于模型流域中的水污染监测指标，评估各种流域因素的影响/比率。这些信息将有助于提出减少污染量的措施，从而为首都布拉格提供更多的安全饮用水。