Suchergebnisse

This report is the first deliverable of Task 7.3 "Data Management" and describes the initial Data Management Plan (DMP) for the CLARITY project, funded by the EU's Horizon 2020 Programme under Grant Agreement number 730355. The purpose of the DMP is to provide an overview of all datasets collected and generated by the project and to define the CLARITY consortium's data management policy that is used with regard to these datasets. The CLARITY DMP follows the structure of the Horizon 2020 DMP template. It reflects the status of the data that is collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. This initial version of the DMP defines the general policy and approach to data management in CLARITY that handles data management related issues on the administrative and technical level. This includes for example topics like data and meta-data collection, publication and deposition of open data, the data repository infrastructure and compliance to the Open Access Infrastructure for Research in Europe (OpenAIRE). It furthermore summarises the intermediate results of the data collection activities in Task 2.2 "Demonstrator-specific data collection" that are being carried out according to the data collection concept introduced in Task 2.2 "Data requirements definition, data collection concept, demonstration and result validation concept" and the guidelines on FAIR (Findable, Accessible, Interoperable and Reusable) data management. The DMP will evolve during the lifespan of the project. Next versions will refine and enhance policy aspects and will go into more detail regarding the datasets collected and produced by the CLARITY project.

Part 2: Information Systems, Information Modelling and Semantics ; International audience ; Sharing of open government data is amongst other reasons hindered by incompatibility of data models in different data collections. Only a few areas in the environmental domain have progressed towards commonly used data models. The purpose of this paper is to share with the community a data model which is used in a spatial information platform being built for the purpose of sharing open government data in the domain of water sciences. The objective when building the information model was not to be restricted to one and only one (meta)data standard. The information model therefore uses several standards and extension mechanisms: the ISO19000 series, the Comprehensive Knowledge Archive Network (CKAN), dynamic tag extension and dynamic content extension. The CKAN domain model can also be mapped to semantic-web-compatible standards like Dublin Core and the Data Catalogue Vocabulary of the World Wide Web Consortium.