Come2Data - Competence Center for Interdisciplinary Data Sciences
As a data competence center (DKZ), Come2Data pursues a Saxon-regional approach to imparting practice-oriented data skills primarily to science, but also to the areas of administration and interested society and, in the long term, to the economy. Come2Data bundles existing data science training and support services as well as expertise and commitment to research data management, NFDI, high-performance computing and analysis methods for data-intensive interdisciplinary research applications such as artificial intelligence and data modeling. The diverse local, regional and national activities that exist in Saxony will be consolidated and synergistically combined to create a sustainable offering. The basis for this is a comprehensive range of training and support services in the fields of data integration, data management, data analysis and data publication. Come2Data thus creates an open research, support, networking and learning location across Saxon locations in order to make the consolidated training, support and knowledge offer available to researchers, teachers and learners as well as to the public via a central virtual platform.
As an open learning location, Come2Data will bundle existing courses on data skills, prepare them didactically for different target groups and make them available centrally as module series and certification programs. The innovative aspect here is that real and complex data and teaching problems will be worked on by a Saxon data expert pool via the research locations and the resulting findings will be continuously incorporated into the courses on offer.
A sustainable support center will also be created around the research and learning location, which will provide extensive level 1 support in the form of a helpdesk using a knowledge base and specific level 2 support through the placement of experts. As an open networking location, these services will be available to a broad target group. In addition, Come2Data creates a space in which solutions for real data and teaching problems can be provided by tried and tested local, regional and national experts and made available in a didactic form.
Come2Data will provide the necessary technical and organizational infrastructure for this and, with the necessary human resources, will coordinate the data expert pool, the courses and the knowledge base, as well as enable the transfer of knowledge to the research sector.
The aim is to establish a Saxon data competence center that is closely linked to the existing activities and expertise in the context of NHR, AI and NFDI/RDM and uses the local and regional competencies of the Saxon data experts.
- provides professional and synergetic support services for researchers on data management and analysis across the entire data lifecycle,
- develops attractive courses for acquiring skills in these aspects across all career stages and establishes them as innovative training and continuing education programs in data science, and
- connects players from different domains and disciplines for collaborative and interdisciplinary data-intensive research.
Come2Data is intended to be a service center that promotes interdisciplinary and solution-oriented cultural change in dealing with data for a broad target group. In the long term, it is to be established as a networking location for stakeholders from science, society, administration and business with data experts in order to solve data science problems across domains and disciplines.
Partner
- Zentrum für Informationsdienste und Hochleistungsrechnen an der Technische Universität Dresden
- Prof. Dr. Lars Bernard - Chief Officer Digitalization and Information Management
- TU Chemnitz
- University Leipzig
- Saxon State and University Library Dresden
- State initiative „SaxFDM – research data management in Saxony“
- ScaDS.AI Dresden/Leipzig – Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig
- DRESDEN-concept e.V.
- NFDI4Earth – NFDI consortium earth system sciences
ZIH contact
Runtime
11/2023-11/2026
