Project Description

Today's research landscape is characterized by a constantly growing volume of data. On the one hand, this holds great potential for applied sciences to draw new insights from the improved data base; on the other hand, the volume and complexity of data also increases the challenge for scientists to handle it. Previous methods for data processing often reach their capacity limits or are no longer practicable, so that new methods for handling large or complex amounts of data become necessary.

The aim of the project 'MASi' is to establish a generic metadata management for scientific data, based on an application-oriented metadata description. The implementation is accompanied by users of different and heterogeneous application areas. In addition to the appropriate handling of data, the efficient use of provided research infrastructures is a necessary prerequisite to support the applied sciences. The infrastructure will be established between Dresden and Karlsruhe to enable the operation of a generic, distributed and sustainable service for the management of scientific data via metadata. The metadata management will support improved data description, sustainable preservation, better retrievability, appropriate reprocessing for further processing, and use of existing data.