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The service bwDataArchive  enables long-term archiving / digital preservation of research data. It is available (in particular) to members of universities and public research institutions in Baden-Württemberg and provides KIT employees with 500 GB of free archive storage. The data is archived by the Steinbuch Centre for Computing (SCC) of the Karlsruhe Institute of Technology (KIT). bwDataArchive guarantees reliable storage for a period of ten years or more, even for large amounts of data. The service complies the recommendations of the German Research Foundation (DFG) regarding the security and storage of research data. As an infrastructure, it also offers archive storage for other services such as RADAR and KITopen.



KIT employees can publish and archive research data related to publications free of charge via the repository KITopen. The repository is open for all disciplines and data types. The research data is stored speifically for reuse and reproducibility. The published research data receives a DOI and necessary metadata to guarantee traceability. The data will be stored directly at the KIT (via the regional service  bwDataArchive) for at least 10 years. Thus, the recommendations of the German Research Foundation (DFG) for the protection and storage of research data are guaranteed.
Information for publishing in KITopen is listed here.


LSDF Online Storage

The service LSDF Online Storage (Large Scale Data Facility Online Storage) offers KIT users a data storage for scientific measurement data and simulation results that are currently being worked on. LSDF Online Storage is operated by the Steinbuch Centre for Computing (SCC) and is particularly aimed at the data-intensive sciences.



re3data is a service especially for scientists, infrastructure facilities, and funding organizations. It is a catalog of research data repositories, based on a comprehensive documented evaluation system and a structural and content analysis, which takes into account the heterogeneity of the data held in the repositories.



RDMO (Research Data Management Organiser) supports the planning, implementation and organization of research data management. The tool is multilingual and creates a dynamic and adaptable plan, which can be used by single researchers or whole project teams to continuously organize their research data management. The stakeholders get an overview of the data management tasks and resulting data products, enabling more efficient planning of tasks during the project.

General Advice

The service team will be happy to advise you in all phases and on all aspects of research data management. Don't hesitate to contact us at contact∂rdm.kit.edu. We look forward to hearing from you.


Data Management Plans / Project Proposals

Data management plans are often required in project proposals. They describe systematically how you will handle your research data, i.e. storage, maintenance, and processing of your data.

The following aspects have to be considered:

  • Project description / context (cooperations, project affiliation, specifications of the awarding authority / funder)
  • Type of data (formats, tools, software, scope)
  • Documentation (metadata standards
  • Timeline (period of data storage, specifications of the funders)
  • Archiving (physical location, persistent identifier)
  • Licenses (reuse of the data)

More detailed information can be found at forschungsdaten.info.


Training and Teaching

Training modules for research data management are currently being developed in cooperation with partners from the nine leading Universities of Technology in Germany (TU9 Alliance) and within the framework of the EUCOR network.


Storage Services

The service team recommends the use of KIT's own local storage services.


Chemotion offers a free-to-use infrastructure and open source software for the management of research data, especially for chemists and related sciences. Chemotion includes a suite consisting of an electronic laboratory notebook (ELN), a web repository and helpful tools. The goal is to simplify routine work with molecular data, thus increasing the amount of open data and improving the quality of the information obtained and published.



The aim of the project KCDC (KASCADE Cosmic Ray Data Centre) is the installation and establishment of a public data centre for high-energy astroparticle physics based on the data of the KASCADE experiment. KASCADE was a very successful large detector array which recorded data during more than 20 years on site of the KIT-Campus North, Karlsruhe, Germany (formerly Forschungszentrum, Karlsruhe) at 49,1°N, 8,4°E; 110m a.s.l. KASCADE collected within its lifetime more than 1.7 billion events of which some 433.000.000 survived all quality cuts and are made available here for public usage.


MO|RE data

MO|RE data (eResearch-Infrastructure for MOtor REsearch data) collects normalized data and publishes accompanying material for motor performance tests. At the core of the database will be data from the Deutschen Motorik-Tests 6-18 (German only), as well as selected standardized and widely applied motor performance tests. MO|RE data is planned to be accessible free of charge for researcher as well as practioners (trainers, teachers, physicians), and the interested public.



The Registry of Research Data Repositories collects research data repositories of various scientific disciplines in a central, web-based research and verification system.
re3data persues a comprehensive recording of research data repositories based on a documented evaluation, as well as a structural and content analysis of the repositories, whilst also taking the heterogeneity of the data in account.



The Virtual Research Environment for Water and Terrestrial Environmental Research (V-FOR-WaTer) within the Water Research Network Baden-Württemberg is a generic virtual research environment for common and systematic management of data obtained from water and environmental research. This project also provides an access to the environmental monitorin data of LUBW and DWD through connecting the corresponding databases.
The main focus points of the project are data management and direct access to analysis tools in order to quickly process the research data and use them for prognostic modeling. Development of this virtual research environment is part of the sustainable data and software concepts of Water Research Network as well as the further development of Water and Environmental research in Baden-Württemberg.



Software is a fundamental part of the research process and essential for the generation of research data and results. At the same time it can be a tool for research as well as a research result. Claims for good scientific practice must therefore also be applied to scientific software and scientific software development. Here you can find a Short Manual for Safeguarding Good Research Software Development. The Helmholtz Task Group Research Software (German only) has prepared a model guideline (German only) for sustainable research software. Its requirements have been incorporated into the KIT guidelines for responsible and sustainable research data management.

A summary of current best practices and license recommendations is provided in the article „An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action“. In the context of research data management, documentation tools like Electronic Lab Notbooks (ELN) as well as development toolsand environments  such as GitLab and Jupyter Notebooks are particularly relevant.

The SCC provides KIT staff and students with scientific software that is used in education and research.


Electronic Lab Notebooks (ELN)

When generating, recording and evaluating research data, the necessary metadata must also be recorded. This documentation plays a central role in ensuring data quality. Ideally, it is carried out automatically at the time of measurement or processing in a standardised form. An ELN can provide support for this as well as in general when it comes to sustainable and collaborative work.

Within the framework of a DFG project, the ELN "Chemotion" was developed at KIT, which has a direct repository connection. Chemotion was developed especially for organic chemistry, but is also extended to other fields. The development of further, discipline-specific solutions is pursued.

The service team recommends the use of open source software. This enables a sustainable handling of data. For example, the reproducibility of research processes and results could be affected if the availability of proprietary software is no longer guaranteed (license, service, development, etc.).



If a software product is developed as part of research, GitLab is a useful application for collaborative development and version management. For this purpose, the KIT hosts a designated GitLab instance. Questions about GitLab are answered by the SCC.

Liaison Office

Access to research data repositories and the use of their contents are often subject to conditions. These may range from open access with CC-Licenses to closed access models within the framework of license and patent law that can be fee-based.

Some repositories require a contact at the requesting institution in form of a liaison office. This office acts as an intermediary between repository operator and individual researchers or research groups.

KIT currently maintains a liaison office for the contact with the following organizations:


Logo JLSRFThe Journal of large-scale research facilities (JLSRF) publishes articles describing large-scale scientific equipment. This covers large-scale equipment from all scientific disciplines that is intended to be used by scientists who are not affiliated to the institution operating the facilities (dedicated user operation). The articles in JLSRF provide scientists with a simple means to reference large-scale facilities in their publications. In their terms of use, operators of large-scale equipment can refer to the respective article in JLSRF.

The articles are provided with their own Digital Object Identifier (DOI) and can therefore be cited. Due to the DOI and its linkage to a large research facility, they are also uniquely citable. Providers and users of large-scale facilities have advantages through the DOI for the proof of use of the facilities as well as through the simple and standardized way of citig. Overall, the use of large-scale facilities becomes more transparent.

All articles are published in the name of the operating institution (corporate author) and not by an individual author. Thes prevents "automatic" personal citations. Contact details for at least one contact for the respective equipment are given in all articles.

Contact persons and users of large-scale research facilities in the Helmholtz Association of German Research Centres are the main target groups of the JLSRF. The journal is open for articles from large-scale research facilities of other institutions, universities and companies.