Menü

Data Hub

Open Science and thorough data and code management for innovative research and results in accordance with FAIR principles.

One of the core elements for the innovative research work in The Adaptive Mind (TAM) is the infrastructure project "TAM Data Hub". With this data management platform, the research cluster provides its researchers with direct and permanent access to the research data of the entire consortium. The TAM Data Hub enables—in the spirit of Open Science—the early sharing and provision of data and associated code of the different subprojects. In this way, this infrastructure makes it possible to reuse longitudinal and cross-sectional data and, at the same time, to evaluate it using innovative cutting-edge methods, including approaches from machine learning and artificial intelligence, and to gain new knowledge.

The most innovative aspect of this data management platform is its highly generic, and at the same time highly horizontally- and vertically-integrated, approach:

  • The TAM Data Hub relies on hardware and software components that are as generic as possible and secured for the long term in order to keep data and code available as comprehensively as possible and for as long as possible. This means, for example, reusing the high-performance storage and computing structures of the participating universities. These will be connected to established services such as GitLab, GIN and JupyterHub, which are accessible to all researchers. Integration into the university infrastructure also makes it possible to work with sensitive data in compliance with data protection regulations. Data and code are specifically adapted to the needs of researchers in TAM through the metadata schema used to describe the data prior to upload. The metadata schema is also chosen to ensure full national and international connectivity.
  • The horizontal integration of the Data Hub is ensured by strong discipline-specific local support. This support is provided above all by the TAM Data Stewards funded by the consortium, who provide specialist support in data management and data curation. At the same time, the project is horizontally connected to the local service centers for research data and to the university infrastructures.
  • The vertical integration of this project is achieved in an outstanding way through the close connection to the state initiative Hessian Research Data Infrastructures (HeFDI, lead: UMR), to efforts around the National Research Data Infrastructure (NFDI), not least through the participation in the consortium initiative NFDINeuroscience, as well as through participation in the initiative for a data competence center LABDaiTA. Vertical integration continues in particular through participation in the offerings and standards of the International Neuroinformatics Coordinating Facility (INCF).

This overall project is underpinned on the one hand by a data and code policy adapted to the consortium and on the other hand by a formal governance structure for oversight and monitoring. At the same time, the TAM researchers are supported by training and a specific workshop series to further deepen their competencies in data management and coding.

Behind the Data Hub is a team that includes members of both the UMR Data Center, the local Research Data Service Centers at UMR, JLU and TUDA, and the subject-specific TAM Data Stewards at each site. The close and collaborative interaction between university infrastructure and subject-specific data stewards ensures high-quality and rapid availability of the data management platform.

Data Hub Conference presentations

Lenze, S., & Pfarr, J.-K. (2024).
Fusion mehrerer Open Source Applikationen für Datenmanagement Workflows in Psychologie und Neurowissenschaften.
53rd DGPs Congress/15th ÖGP Conference, Vienna.

Pfarr, J.-K. (2024).
Fusion of Multiple Open Source Applications for Data Management Workflows in Psychology and Neuroscience.
Distribits: Technologies for distributed data management, Düsseldorf.

Pfarr, J.-K. & Lenze, S. (2023).
From Planning to Practical Implementation and Support: Fusion of Multiple Open Source Applications for Data Management Workflows in Psychology and Neuroscience.
Data Stewardship goes Germany 2023, Dresden.


Access for TAM members

For any inquiries concerning the access and use of the Data Hub, please contact datahub@uni-marburg.de. Please also see this comprehensive User Manual.

  • Access to the Data Hub

As the storage and computing resources of the Data Hub are located at Marburg University, researchers of TAM need to have a staff-account from Marburg University even if they are affiliated with another university. Please read the information below on how to get an account.

  • Uni Marburg Staff account for Non-Uni-Marburg TAM members

Account request: Researchers who want to work with the Data Hub need a staff email account at Marburg University. If you are not primarily affiliated with Marburg University, an account needs to be created for you. For this, please reach out to datahub@uni-marburg.de and provide the following information about yourself and your work:

- Your email you want to receive messages regarding your account with
- First- and last name(s)
- Your birthday
- If you want communication in german or english
- Your status (PhD Student, postdoc, PI, etc.)
- The start- and end-date of the work you are doing for the projects with primary access to the Data Hub services (i.e., the time of your collaboration)
- Your work address
- If you need access to work on the MaRC3 High Performance Computing Cluster (required to use JupyterHub)

After applying for an account, as a TAM member you will receive a letter at your work address asking you to set up a video call with the University Computer Center (HRZ) Marburg to verify your account. Due to the postal process, the procedure may take a few days. 

  • 2-Factor Authentication after receiving your Uni-Marburg Staff Account

Additionally, you will need to **actively apply** for a 2-factor authentication on the website (go to "Token beantragen") of the HRZ Marburg. You can choose between an App Token or a TAN token. You can choose a video call for authentication, then activation will be faster than via post mail. After you received your 2-FA, you can use the Data Hub services with your email account, password, and 2-FA.

  • Uni-Marburg Staff

If you already have a staff account at Marburg University but need additional permissions (e.g. to use the MaRC3 HPC cluster/JupyterHub), please also request these via datahub@uni-marburg.de. In this case please also provide your: 

- First- and last name(s)
- Birthday
- Marburg University staff account name