MASI - Metadata Management for Applied Sciences
Nowadays, an ever increasing amount of data is to be seen or expected in science. There is a great potential to gain new insights in various scientific fields by using this data efficiently. The drawback is the also ever increasing complexity and amount of the data and therefore the larger effort put on scientists in their daily work. Methods for data processing, which could be used in the past efficiently, might simply become impractical by failing to process large amounts of data in a given time and new methods need to be adopted or developed.
In this project a novel and generic metadata management for scientific data will be developed based on an application-oriented description via metadata. The development process is accompanied by applied scientists from various and heterogeneous domains. The metadata management not only supports the data handling, but also allows an efficient use of provided scientific infrastructures. This infrastructure is going to be realized between the computing facilities of Dresden and Karlsruhe to provide generic and distributed services for metadata-based data handling. The management includes functionalities for data description, sustainable data storage, improved information retrieval, preparation for further processing and usage of available data.
Partners
- TU Dresden, ZIH - Project Lead
- Karlsruhe Institute of Technology, Steinbuch Centre for Computing
- Leibniz Institute of Ecological Urban and Regional Development, Monitoring of Settlement and Open Space Development
- RWTH Aachen University, Department of Chemistry
- Technische Universität Darmstadt, Institut für Sprach- und Literaturwissenschaft
- Akademie der Wissenschaften und der Literatur Mainz, Digitale Akademie
ZIH Contact
Project Term
03/2015 - 05/2018
Funding
Deutsche Forschungsgemeinschaft