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Martin Thomas Horsch

Martin Thomas Horsch is an associate professor in data science at the Norwegian University of Life Sciences (NMBU). His field of research and development is process data technology, i.e., physics-based and data-driven modelling and research data management with applications in chemical and process engineering. He completed the doctorate in mechanical engineering at the University of Paderborn and the habilitation for computational engineering at TU Kaiserslautern, both with work on massively-parallel molecular simulation in engineering thermodynamics.

Interest Group
Stage: IG Established
TAB Liaison: Raphael Cóbe
Introduction: We are proposing a Chemistry Research Data Interest Group under the auspices of the Research Data Alliance (RDA), to foster diverse professional exchange on issues particular to data ori...
Working Group
Stage: WG Maintaining Deliverables
TAB Liaison: Rossella Aversa
The Data Repository Attributes Working Group seeks to produce a list of common attributes that describe a research data repository and to provide examples of the current approaches that different dat...
Interest Group
Stage: IG Established
Secretariat Liaison: Bridget Walker
TAB Liaison: Mingfang Wu
The context of increasing volumes of data being created by researchers and the strengthening of requirements for research data management and data sharing has created demand for a new and evolving set...
Working Group
Stage: WG Maintaining Deliverables
TAB Liaison: Louise Bezuidenhout
FAIR Data Maturity Model: core criteria to assess the implementation level of the FAIR data principles Webinar – The RDA FAIR Data Maturity Model WG: Aligning International Initiatives for Promo...
Interest Group
Stage: IG Established
TAB Liaison: Rossella Aversa
The Data Fabric IG (DFIG) identified that working with data in the many scientific labs and most probably also in other areas such as industry and governance is highly inefficient and too costly. Exce...
Interest Group
Stage: IG Established
TAB Liaison: Isabelle PERSEIL
The idea of FAIR (findable, accessible, interoperable, and reusable) in the context of scientific data management and stewardship was developed in 2014 and turned into specific principles in 2016[1]. ...
Working Group
Stage: WG Maintaining Deliverables
News: May 24th, 2022. The RDA Council have endorsed the FAIR4RS Principles as an official output! Citation and download: Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A-L, Martinez, C., Psomop...
Interest Group
Stage: IG Established
Secretariat Liaison: Bridget Walker
TAB Liaison: Najla Rettberg
The coordination of data infrastructure on various levels (country, continent, discipline, sector) is on the increase. So called “Open Science Commons” or “Data commons” provide a shared virtu...
Working Group
Stage: WG Producing Deliverables
Secretariat Liaison: Bridget Walker
TAB Liaison: Anupama Gururaj
The focus of the WG is on increasing uptake of the FAIR Principles in materials research (in particular in connection with Interoperability and Reusability), supported by improved resources, in partic...
Working Group
Stage: WG Maintaining Deliverables
TAB Liaison: Rossella Aversa
InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG) Webinar – Decomposing Observable Property Descriptions into Machine-Readable Components – 28 July 2021 The I-A...