Feasibility study “Better findability of data, especially geodata, in the context of open data” – MetaOpenData
Metadata has found its way into geodata processing, not least as a result of the INSPIRE directive. While the basic idea of describing data sets by their characteristics and making them searchable is very welcome, the practical implementation is still very complex in many ways. Nevertheless, metadata is an essential factor, especially for tapping the potential of open data. Only if metadata is of high quality and therefore up-to-date, it can be guaranteed that the corresponding subject data can be found in the respective search context.
The aim of the project is to show ways how a dynamic and automated derivation of meta information from existing data can be made possible. Metadata should be derived both through self-observation of the data and through a deep-learning approach. In addition to the study, a prototype will be developed with release date III. quarter 2018.
Within the framework of this project, we are conducting a survey on the use and user needs for metadata in order to find out how we deal with the topic of metadata. The survey is also intended to give participants the opportunity to point out missing information in metadata.
The results of the survey and thus also of the MetaOpenData project should serve to generate more complete metadata in order to make it easier to find and assess the suitability of data from the user’s perspective and to orient the project from the outset to your requirements.
We would be pleased if you would take 5-10 minutes to participate in the survey and we would like to take this opportunity to thank you for your participation!
The survey has no personalized access and is of course conducted anonymously. It can be started via this link plus the password entered there. No personal information is requested or stored in any other way.
Click here to go directly to the project survey: https://mundialis.github.io/metaopendata/#projektumfrage