Andreas Schmidt
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Andreas Schmidt has a total of 40 co-authors. Here are the top co-authors by number of shared publications:
- Bernard Haasdonk
Institute of Applied Analysis and Numerical Simulation, University of Stuttgart, Stuttgart, Germany
4 shared publications - Karl-Uwe Stucky
Karlsruhe Institute of Technology
4 shared publications - Alessandro Alla
Department of Mathematics, Sapienza University of Rome, Rome, Italy
3 shared publications - Steffen G. Scholz
Karlsruhe Institute of Technology
3 shared publications - Veit Hagenmeyer
Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology
3 shared publications - Wolfgang Süß
Karlsruhe Institute of Technology
3 shared publications
Latest Publications
- 8 February 2026
- Published by Springer Nature
- p. 573-583
Embedding-Based Ontology Term Recommendation System for FAIR Data Publishing Workflows
- 8 February 2026
- Published by Springer Nature
- p. 573-583
Embedding-Based Ontology Term Recommendation System for FAIR Data Publishing Workflows
- 24 October 2025
- Published by Springer Nature
- p. 301-325
Utilizing ER Model Extraction for an Industry Data Validation Use Case
- 24 October 2025
- Published by Springer Nature
- p. 301-325
Utilizing ER Model Extraction for an Industry Data Validation Use Case
- 13 October 2025
- Published by Springer Nature
- p. 87-92
OniOn: An RGCN-Based Ontology Alignment Approach for Energy Data Integration
- 13 October 2025
- Published by Springer Nature
- p. 87-92
OniOn: An RGCN-Based Ontology Alignment Approach for Energy Data Integration
- 12 October 2025
- Published by Springer Nature
- p. 136-144
MoralWeb: Reimagining the Web with Solid, Low-Code Tools, and Moral Codes for a Democratic and Equitable Future
- 12 October 2025
- Published by Springer Nature
- p. 136-144
MoralWeb: Reimagining the Web with Solid, Low-Code Tools, and Moral Codes for a Democratic and Equitable Future
- 1 January 2025
- Published by GEOMAR Helmholtz Centre for Ocean Research Kiel
A survey on the status quo, gaps and needs among research data professionals in the Helmholtz Association
With the HMC Data Professionals Survey 2024, the Helmholtz Metadata Collaboration (HMC) assessed the current state, challenges and requirements of Helmholtz staff in the area of research data management (RDM) and FAIR data practices. The survey focused on data professionals involved in RDM-related tasks in the Helmholtz Association. A total of 156 valid responses were collected from 16 out of 18 Helmholtz centres and all six Helmholtz research fields. This diversity ensures that the survey captures a representative range of perspectives. The results show that RDM work is spread across different stakeholders, professions and organisational levels. While most respondents are familiar with their centre’s data policy, the majority have no formal training in RDM - although the data reflects widespread interest in RDM-related training. The results provide a snapshot into the implementation of the FAIR principles in the Helmholtz data ecosystem, and the collaborative use and development of various RDM tools. In particular, the survey highlights the prevalent challenges in RDM work, with many respondents reporting limited resources, gaps in technical knowledge, lack of infrastructure and lack of technical solutions. The survey results, complemented by qualitative feedback from focus groups, will guide HMC’s strategic initiatives to improve the FAIR data ecosystem within the Helmholtz Association. (HMC Report 3) HMC Data Professionals Survey 2024
- 1 January 2025
- Published by GEOMAR Helmholtz Centre for Ocean Research Kiel
A survey on the status quo, gaps and needs among research data professionals in the Helmholtz Association
With the HMC Data Professionals Survey 2024, the Helmholtz Metadata Collaboration (HMC) assessed the current state, challenges and requirements of Helmholtz staff in the area of research data management (RDM) and FAIR data practices. The survey focused on data professionals involved in RDM-related tasks in the Helmholtz Association. A total of 156 valid responses were collected from 16 out of 18 Helmholtz centres and all six Helmholtz research fields. This diversity ensures that the survey captures a representative range of perspectives. The results show that RDM work is spread across different stakeholders, professions and organisational levels. While most respondents are familiar with their centre’s data policy, the majority have no formal training in RDM - although the data reflects widespread interest in RDM-related training. The results provide a snapshot into the implementation of the FAIR principles in the Helmholtz data ecosystem, and the collaborative use and development of various RDM tools. In particular, the survey highlights the prevalent challenges in RDM work, with many respondents reporting limited resources, gaps in technical knowledge, lack of infrastructure and lack of technical solutions. The survey results, complemented by qualitative feedback from focus groups, will guide HMC’s strategic initiatives to improve the FAIR data ecosystem within the Helmholtz Association. (HMC Report 3) HMC Data Professionals Survey 2024
- 1 January 2023
- Published by Springer Nature
- p. 232-241
Development of a Database for the Management and Use of Available Resources in the Field of Sustainable Nanomanufacturing
- 1 January 2023
- Published by Springer Nature
- p. 232-241
Development of a Database for the Management and Use of Available Resources in the Field of Sustainable Nanomanufacturing
- 1 July 2022
- Published by Springer Nature
- p. 497-500
About Lightweight Code Generation
- 10 February 2022
- Published by Springer Nature
- p. 275-291
Facilitating Mixed Reality Public Participation for Modern Construction Projects: Guiding Project Planners with a Configurator
- 10 February 2022
- Published by Springer Nature
- p. 275-291
Facilitating Mixed Reality Public Participation for Modern Construction Projects: Guiding Project Planners with a Configurator
- 13 February 2020
- Published by Springer Nature in Advances in Computational Mathematics
- Vol. 46 (1) , 9
Feedback control of parametrized PDEs via model order reduction and dynamic programming principle
- 13 February 2020
- Published by Springer Nature in Advances in Computational Mathematics
- Vol. 46 (1) , 9
Feedback control of parametrized PDEs via model order reduction and dynamic programming principle