Paper by Jin Wang et al: “Data sharing plays a fundamental role in providing data resources for geographic modeling and simulation. Although there are many successful cases of data sharing through the web, current practices for sharing data mostly focus on data publication using metadata at the file level, which requires identifying, restructuring and synthesizing raw data files for further usage. In hydrology, because the same hydrological information is often stored in data files with different formats, modelers should identify the required information from multisource data sets and then customize data requirements for their applications. However, these data customization tasks are difficult to repeat, which leads to repetitive labor. This paper presents a data sharing method that provides a solution for data manipulation based on a structured data description model rather than raw data files. With the structured data description model, multisource hydrological data can be accessed and processed in a unified way and published as data services using a designed data server. This study also proposes a data configuration manager to customize data requirements through an interactive programming tool, which can help in using the data services. In addition, a component-based data viewer is developed for the visualization of multisource data in a sharable visualization scheme. A case study that involves sharing and applying hydrological data is designed to examine the applicability and feasibility of the proposed data sharing method….(More)”.
A data sharing method in the open web environment: Data sharing in hydrology
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Uncovering Parental Urban Mobility and Amenity Visits through Large-scale GPS Data
Posted in October 17, 2025 by Stefaan Verhulst
DATA
Proprietary data, open data, data commons: Who owns the data? How to best reconcile conflicting interests in exploiting the value of data and protecting against its risks
Posted in October 17, 2025 by Stefaan Verhulst
artificial intelligence, DATA
Generative AI and the New Tabula Rasa: Why Question Literacy Matters
Posted in October 15, 2025 by Stefaan Verhulst