Development of a Method Pool for Effective Access to Research Data in Data Portals
In the course of new approaches to the publication, shared use and archiving of research data, the user-centered provision of information about data and of data themselves is becoming increasingly important. For potential users of research data, this "data landscape" is very confusing and can only be understood with great effort. In addition, data sets are often only described rudimentary with metadata, which makes the understanding of these data sets and access to them more difficult for user groups who have to explore a data landscape for the first time or again. In addition to the large number of available research data in distributed data repositories, the different granularity of the data in terms of their spatial and temporal resolution and the varying data quality represent a major challenge MEDIAS addresses the described challenges by the development of a pool of methods for the conceptualization and implementation of data portals. The following objectives are addressed: (1) Better understanding of the needs of different user groups for data portals, (2) development of semantic metadata models for research data from selected application areas, (3) improvement of the efficient creation of consistent, correct and as complete as possible metadata descriptions, (4) improvement of the effective data access through targeted user guidance and recommendations for data searchers and (5) simplified maintenance and expansion of the knowledge base. The developed methods are piloted for the application domains mobility and space research.
Project runtime: 07/2020 - 06/2023
Partner: DLR Institute of Transport Research
Spokeperson: Marcus Paradies, Friederike Klan