Completed Projects

The project AARC deals with the interoperability of already existing technical solutions in the area of authentication and authorisation infrastructure (AAI) as well as with the development and operation of new components that can be used across AAIs. In addition to the technical aspects, AARC also deals with the harmonization and interoperability of policies and levels of assurance.

The objective of the project bw2FDM is to continue and expand the structures and results of the predecessor project bwFDM-Info. Furthermore it is supposed to coordinate the development activities of the Science Data Centers (SDC) (German only) in Baden-Württemberg. This includes activities that ensure networking between the SDCs and increase their visibility for the research communities in Germany and Europe. Additionally it is intended to increase the awareness of research data management in the scientific communitites and to bring together expertise also beyond the SDCs.

As part of the project, the SCC and its project partner HLRS are expanding their technical infrastructure as an archive for long-term archiving of research and library data for Baden-Württemberg in the service bwDataArchive.

In the project bwDataDiss an infrastructure to describe, store and link research data and electronic dissertations was developed. The service was integrated into KITopen.

The project bwDataInMotion (bwDIM) supports scientific staff of universities in Baden-Württemberg in their scientific data management. Its goal is to simplify data flows between different services and storage systems.

bwFDM-Communities was the initial project for research data management in Baden-Württemberg, analyzing the requirements of researchers when handling data. The project has published a final report (German only) as well as the processed data (German only).

Research Data Management (RDM) (in German only) supports scientists in the processing and sustainable storage of all types of scientific data. Based on the requirements identified in the project bwFDM-Communities, bwFDM-Info provides researchers with information on a wide variety of issues related to the handling of research data.

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.

Under the umbrella of the American Geophysical Union (AGU), a consortium of international representatives of the earth and space science community develops standards to connect researchers, publishers, and research data repositories. A key aspect is a wiedespread implementation of the FAIR principles (findable, accessible, interoperable, reusable). The aim of the project is to accelerate the acquisition of scientific knowledge and to improve the integrity, transparency, and reproducibility of data. In this context, DataCite is developing a subject-specific RepositoryFinder for scientific publications based on the re3data database.

The SCC is involved in the EU projects EOSC-hub and DHDC, which develop and test cloud technologies for science in Europe.
Among other things, EOSC-hub wants to create easy access to high-quality digital services offered by pan-European partners in an open service catalogue.

In the Deep Hybrid Data Cloud (DHDC) project, ten partners from the successfully completed INDIGO DataCloud project have joined forces. Fifteen full-time employees will spend 30 months on cloud-based solutions that support complex, compute-intensive applications. The project budget is three million euros.

The SCC is involved in various tasks and work packages. A central task will be the management of the work package "Federation and collaborative services". The focus of this package is on the integration of federal IT services such as authentication services, service catalog services, monitoring and accounting tools and IT service management tools.
Project website: https://www.eosc-hub.eu/ 

EUDAT - the collaborative Pan-European infrastructure providing research data services, training and consultancy
SCC is one of the major partners in the European H2020 project EUDAT. EUDAT’s objective is to build a Collaborative Data Infrastructure (CDI) as a pan-European solution to the challenge of data proliferation in Europe’s research communities. EUDAT will allow researchers to share their data within and between the communities. The expectation is that the services offered through the CDI will foster innovative, multidisciplinary research. EUDAT aims at providing a data management solution that will be affordable, trustworthy, robust, persistent and easy to use.

FAIRSFAIR - Fostering Fair Data Practices in Europe - aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR. FAIRsFAIR will play a key role in the development of global standards for FAIR certification of repositories and the data within them contributing to those policies and practices that will turn the EOSC programme into a functioning infrastructure.

In the end, FAIRsFAIR will provide a platform for using and implementing the FAIR principles in the day to day work of European research data providers and repositories. FAIRsFAIR will also deliver essential FAIR dimensions of the Rules of Participation (RoP) and regulatory compliance for participation in the EOSC. The EOSC governance structure will use these FAIR aligned RoPs to establish whether components of the infrastructure function in a FAIR manner.

The European cooperation project INDIGO („INtegrating Distributed data Infrastructures for Global explOitation”) is developing an open-source data and computing platform that meets the requirements of various scientific communities. The INDIGO-DataCloud should be usable for different hardware as well as for private, public, and hybrid e-infrastructures.
By closing existing gaps in PaaS (Platform as a Service) and SaaS (Software as a Service), the developers of INDIGO-Datacloud help resource providers, e-infrastructure providers, and scientists to master current challenges in cloud computing, storage, and networking. This is particularly important for future developments of WLCG and FedCloud.

MoMaF (German only) is one of the four Science Data Centers funded by the MWK's Digitization Strategy digital∂bw. The goal of MoMaF is the development of a comprehensive virtual research environment (VRE) for the research areas molecular chemistry, macromolecular chemistry / surface chemistry and virtual material development. The VRE supports scientists in the entire research process, from data collection and analysis in electronic laboratory journals (ELN - Electronic Lab Notebook) to archiving and publication in repositories. The subject-specific ELNs and the corresponding interoperable repositories ensure efficient and sustainable handling of research data by implementing the FAIR Open Data Principles.

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.

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.

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.

The project entitled "Conceptualization and prototypical practical testing of a trust center for mobility data in the application field of automated driving using one of the test sites for autonomous driving in Baden-Württemberg", TreuMoDa, will design an independent and non-profit interface enabling the provision and use of data from the field of mobility that complies with data protection requirements by science, industry and society in accordance with transparent criteria. The goal is to develop a concept of a trust center for mobility data ready for application and to test the most important aspects in an exemplary manner. the business model, legal form and financing options for the establishment of a neutral, independent and yet sustainably financed trust agency will be developed in cooperation with stakeholders. On top of that, a network towards relevant national and international initiatives such as the consortia of the National Research Data Infrastructure will be established.