About

TUM Research Data Hub is a cooperation between Research Data Services of the University Library and the Munich Data Science Institute (MDSI). We support TUM researchers and partners regarding research data management, based on the TUM Guidelines for Handling Research Data.

The mission of TUM Research Data Hub is to promote professional and transparent research data management (RDM) at TUM. Dr.-Ing. Alexander Braun, Senior Vice President Digitalization and IT Systems and Chief Information Officer (CIO), is the idea generator and initiator of the university-wide bundling of RDM expertise.

By establishing the virtual facility in May 2023, TUM underscores the importance of carefully handling research data as a prerequisite for excellent teaching and cutting-edge research. The services of TUM Research Data Hub strengthen university data expertise and support data-intensive research projects, such as Collaborative Research Centers (CRC), Transregional Collaborative Research Centers (TRR), Clusters of Excellence (EXC), or collaborative projects of Horizon Europe.

Service portfolio

Our service portfolio includes consulting, training, networking, infrastructure, tools, and information for all stages of the research data life cycle.

Consultation

We provide consultancy on strategic research data management (RDM) issues, including data protection-compliant data storage in a project, GPU computing, and long-term archiving. For all stages of the research life cycle, we supply information and handouts.

TUM Research Data Hub acts as a TUM-internal think tank for the university executive board. In this role, we contribute input on RDM questions, such as legal issues related to open source and intellectual property, or the requirements for a modern research data infrastructure that meets the highest standards.

Training

To promote data literacy among all groups at TUM, we offer introductory training and embedded courses on research data management (RDM) for Bachelor students, as well as extensive programs for researchers, project managers, and Data Stewards. Our training addresses all RDM issues, including: privacy, copyright, licensing, archiving strategies, data management plans, and data management policies. For specific RDM training needs, contact us and we'll design individual formats.

Network & Events

TUM participates in 13 consortia of the National Research Data Infrastructure (NFDI). TUM Research Data Hub aims to consilidate the expertise gained in these initiatives and share it with the TUM community. Connect with us and fellow researchers at various networking events.

Request a Data Steward

TUM aims to establish a central Data Steward program, hosted by TUM Research Data Hub. The programs' objective is to support research data management in large-scale funded programs, e.g. Clusters of Excellence, with personnel and content. New Data Stewards can access an individual training program we developed and benefit from shared experience, expertise, and network.

Infrastructure & Tools

In the area of technical infrastructure, TUM Research Data Hub presents university-owned software solutions based on the storage and backup system of the Leibniz Supercomputing Centre (LRZ). In addition, we provide computing infrastructure in cooperation with LRZ. Finally, contact us to find discipline-specific or case-related tools for research documentation.

Team

TUM Research Data Hub: One team for all your research data management (RDM) needs. Our experts from the Munich Data Science Institute (MDSI) and Research Data Services of the University Library  will help answer any question about RDM at TUM.

In our team, theoretical knowledge meets practical implementation in data-driven research projects, such as NFDI4Ing and Transregios. In addition, we are in close exchange with other RDM initiatives, working groups, and committees outside of TUM. Comprehensive and practice-oriented know-how is what makes our RDM strategies, recommended tools, and consultations so useful. Our incentive: To provide ideal support for the RDM needs of TUM researchers.

Need an expert? Contact our team via researchdata@tum.de!

Management of the cooperating institutions

Dr. Caroline Leiß

University Librarian
University Library

Prof. Dr. Stephan Günnemann

Executive Director
Munich Data Science Institute (MDSI)

Experts

Dr. Christine Wolter

Hub coordination, Networking, Support applications
TUM Research Data Hub


Head of Research Data Services
University Library

Dr. Marco Barden

Hub coordination, Networking, Events
TUM Research Data Hub

Science Manager
Munich Data Science Institute (MDSI)

Katja Kessler

Support applications and legal aspects, Training
TUM Research Data Hub

Deputy Head of Research Data Services
University Library

Emmelie Korell

Organization
TUM Research Data Hub

Program Manager
Munich Data Science Institute (MDSI)

Olga Klopova

Support data publication and licences
TUM Research Data Hub

Research Data Services
University Library

Dr. Sebastian Öder

Support RDM tools and data management plans
TUM Research Data Hub

Research Data Services
University Library

Dr. Silke Sturm

Data Steward
TUM Research Data Hub

Research Data Services
University Library

Vasiliki Sdralia

Data Steward
TUM Research Data Hub

Project Manager
Munich Data Science Institute (MDSI)

Sonja Thielen

Data Steward
TUM Research Data Hub

Research Data Services
University Library