KadiStudio: FAIR Modelling of Scientific Research Processes

Authors

  • Lars Griem Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe https://orcid.org/0000-0002-8093-6356
  • Philipp Zschumme Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe https://orcid.org/0000-0002-4821-5719
  • Matthieu Laqua Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe https://orcid.org/0000-0003-2978-3160
  • Nico Brandt Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe https://orcid.org/0000-0002-3860-1376
  • Ephraim Schoof Helmholtz Institute Ulm for Electrochemical Energy Storage (HIU), Helmholtzstraße 11, 89081 Ulm https://orcid.org/0000-0001-6821-7263
  • Patrick Altschuh Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe; Institute for Digital Materials Science (IDM), Karlsruhe University of Applied Sciences, Moltkestraße 30, 76133 Karlsruhe https://orcid.org/0000-0003-1373-492X
  • Michael Selzer Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology (KIT), Straße am Forum 7, 76131 Karlsruhe; Institute for Digital Materials Science (IDM), Karlsruhe University of Applied Sciences, Moltkestraße 30, 76133 Karlsruhe https://orcid.org/0000-0002-9756-646X

DOI:

https://doi.org/10.5334/dsj-2022-016

Keywords:

FAIR principles, workflows, research data management, electronic lab notebook, inputprocess-output model

Abstract

FAIR handling of scientific data plays a significant role in current efforts towards a more sustainable research culture and serves as a prerequisite for the fourth scientific paradigm, that is, data-driven research. To enforce the FAIR principles by ensuring the reproducibility of scientific data and tracking their provenance comprehensibly, the FAIR modelling of research processes in form of automatable workflows is necessary. By providing reusable procedures containing expert knowledge, such workflows contribute decisively to the quality and the acceleration of scientific research. In this work, the requirements for a system to be capable of modelling FAIR workflows are defined and a generic concept for modelling research processes as workflows is developed. For this, research processes are iteratively divided into impartible subprocesses at different detail levels using the input-process-output model. The concrete software implementation of the identified, universally applicable concept is finally presented in form of the workflow editor KadiStudio of the Karlsruhe Data Infrastructure for Materials Science (Kadi4Mat).

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Published

2022-09-23

Issue

Vol. 21 (2022)

Section

Research Papers

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