National Projects

The Chemistry Knowledge Base project presents current results from selected research areas in a novel way based on published research and enables (partially) automated knowledge extraction through semantic annotation of the information. For this purpose, a Sematic MediaWiki was built, in which the most important data of experiments are summarized in tables. This information is linked to the structural formulas of the chemicals used in the experiments. A special feature is the editing of the structural formulas in the Wiki itself, as opposed to storing only static images of the molecules. This means that the results can be compiled dynamically to suit a given query. In the long term, the contents of this collaborative platform are to be maintained by the specialist community and thus kept up-to-date and relevant. This enables uncomplicated and direct access to research results and offers a new form of knowledge representation and exchange in chemistry.

In this DFG project, the development of two independent IT systems - electronic laboratory journal (ELN) and chemistry repository (Chemotion) will enable new ways of data collection, data management and the provision of received information. 
The new model combines data collection and documentation as well as publication and storage of data sets. Optimized IT structures are designed to prevent the loss of data as soon as they are raised in the laboratory.
For this, it is necessary to integrate the analytical devices into a web-based Laboratory Information and Management System (LIMS) and to program an electronic planning and management platform for reactions and their results. Within the scope of this project, these IT structures will be developed and merged into an electronic (evidence-proof) laboratory journal (ELN - Electronic Lab Notebook).
Currently, the storage and indexing of data takes place after their publication in journals or patents. However, this should be possible directly after the creation of the data. To this ende, the existing repository Chemotion will be further developed accordingly.

The aim of the Helmholtz Information & Data Science School for Health (HIDSS4Health) is to attract, promote and train the best young talents at the interface between data science and health-related applications. HIDSS4Health offers a structured doctoral training program embedded in a highly interdisciplinary research environment, bringing together experts from the data and life sciences. The scientific curriculum is complemented by training measures that provide doctoral researchers with the key qualifications expected from future leaders in science and industry. Information paper (German only).

Data on motor skill performance have been collected nationally and internationally for decades in a large number of projects, but the results seem to be inconsistent and sometimes contradictory. In addition, the collected data has been published only partially, whereas the remaining unpublished data is not accessible for interested research groups.
The goal of the DFG-funded project is to pool all available data on motor skill performance in an eResearch infrastructure and make it available to the general public. Furthermore, MO|RE data is intended to generate comprehensive standard data and to publish materials for sports motor skill tests. The focus is on data from the German motor skills Test 6-18 (German only) and other selected standardized tests with a high degree of dissemination. MO|RE data should be accessible free of charge for scientists as well as for practitioners (trainers, teachers, physicians), and the interested public. MO|RE data aims to create a web-based application whose research data can be exported and reused as citable and internationally proven data. This should provide incentives to share research data, as well as to continue doing research with citable data to improve the data and expand the data basis.

For reproducable and comprehensible scientific results research data has to be available long-term, ensuring that the data can be used for further research projects. Besides long-term preservation sustainable data management is a major challenge for universities and non-university research facilities. Suitable infrastructures are often lacking in fields where only small amounts of data are generated.
The project RADAR  provides a service, which supports researchers and institutions with an infrastructure for archiving and publishing research data. In the long term, the service will be self-sustaining.

In the first project phase (November 2015 to April 2017) the Research Data Management Organiser (RDMO) was developed. The aim of RDMO was to provide researchers with a data management plan (DMP) tool that supports structured planning, implementation, and administration of research data management as well as the textual output of a DMP. RDMO is intended to support the requirements of the respective sponsor for the handling of research data, but also to go beyond the application process. With the help of the RDMO, the planning of research data management can be optimized in advance and the project can be accompanied during the course of the project. Target groups are researchers and all those involved in the project's research data management. The tool is multilingual and adaptable for various disciplines and institutes. The second project phase (November 2017 to April 2020) will focus on the following goals: Extension of the organizer (role concept, cost estimation, ingest process, interoperability), integration into the infrastructure (standardized installation, maintainability, expansion of the supported authentication and authorization systems), establishment in the community, and sustainability / continuity of the RDMO. Further information

re3data aims to collect research data repositories from various scientific disciplines in a central, web-based search and verification system.
The target group consists mainly of scientists, infrastructure facilities and funding organisations. re3data pursues a comprehensive proof of research data repositories on the basis of a documented evaluation, as well as a structure and content analysis of the content, which takes into account the heterogeneity of the data stored in the repositories.
The research and verification system was designed and set up according to defined criteria that were iteratively adapted in the course of the project. This led to an in-depth examination of the quality requirements for research data repositories and to the compilation of a catalogue of criteria for the quality assurance. The project partners always oriented their activities to the current research discourse and were in active exchange with other actors and projects on a national and international level.
After the DFG's project funding came to an end, re3data was added to the DataCite portfolio as a service at the beginning of 2016. KIT is still partly responsible for the operation and further development of re3data.
The Oberly Award for Bibliography went to Frank Scholze and Michael Witt for their commitment to the fusion of re3data and the former Databib into a sustainable repository for research data.

The main focus of the project re3data COREF (Community Driven Open Reference for Research Data Repositories) is the further professionalization of re3data and the provision of reliable and customizable descriptions of research data repositories. re3data will provide the main descriptions of the repositories, which can be usefully referenced and cited by the users. As a result a permanent identification is possible.
 

SuLMaSS stands for "Sustainable Lifecycle Management for Scientific Software - Software Dissemination and Infrastructure Development Driven by a Cardiac Electrophysiology Simulator".
The impact of the project, which develops tools and services for the sustainable use of scientific software, will be three-fold:

1. Providing high quality, user-friendly cardiac electrophysiology simulation software that meets a proven need of the scientific community.
2. Delivering infrastructure components for testing, storing, referencing and versioning research software in all phases of its lifecycle. These components will be further developed, evaluated, and thoroughly tested in the project by acCELLerate.
3. Documening and publishing the components of the software lifecycle management. In this way SuLMaSS will serve as an example for sustainable research software for a large group of users. Scientific software development in Germany and beyond will benefit from the provided infrastructure components.