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2023.
Publikation: Konferenzbeitrag › Vortragsfolien › Forschung › Peer-Review
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TY - CONF
T1 - "FAIR-by-Design" Artifacts: Enriching Publications and Software with FAIR Scientific Information at the Time of Creation
AU - Karras, Oliver
AU - Kuckertz, Patrick
AU - Göpfert, Jan
AU - Pelser, Tristan
AU - Núñez, Rodrigo Pueblas
AU - Weinand, Jann Michael
AU - Stolten, Detlef
AU - Auer, Sören
PY - 2023/9/28
Y1 - 2023/9/28
N2 - Presentation on the idea of "FAIR-by-Design" Artifacts at the NFDI4Ing Conference 2023. Abstract In several research disciplines, the use and development of software have become an integral part, with researchers reporting in publications the results obtained with software and concepts implemented in software. Consequently, publications and software have become two core artifacts in academia with increasing importance for measuring research impact and reputation. The research community has made great efforts to improve digital access to publications and software. However, even now that these artifacts are available in digital form, researchers still encapsulate the scientific information in static and relatively unstructured documents unsuitable for communication. The next step in the digital transformation of scholarly communication requires a more flexible, fine-grained, context-sensitive, and semantic representation of scientific information to be understandable, processable, and usable by humans and machines. Researchers need support in the form of infrastructures, services, and tools to organize FAIR scientific information from publications and software. Several research disciplines work on initiatives to organize scientific information, e.g., machine learning with “Papers-with-Code”, invasion biology with “Hi-Knowledge”, and biodiversity with “OpenBiodiv”. However, these initiatives are often technically diverse and limited to the respective application domain. For this reason, we from the task area Ellen of NFDI4Ing (and in collaboration with NFDI4DataScience and NFDI4Energy) decided to use the Open Research Knowledge Graph (ORKG), an innovative infrastructure for organizing scientific information from publications and software. The ORKG is a cross-discipline research knowledge graph that offers all research communities an easy-to-use and sustainably governed infrastructure. This infrastructure implements best practices, such as FAIR principles and versioning, with services combining manual crowd-sourcing and (semi-)automated approaches to support researchers in producing, curating, processing, and (re-)using FAIR scientific information from publications and software. As a result, organized scientific information is openly available in the long term and can be understood, processed, and used by humans and machines. Thus, research communities can constantly build, publish, maintain, (re-)use, update, and expand...
AB - Presentation on the idea of "FAIR-by-Design" Artifacts at the NFDI4Ing Conference 2023. Abstract In several research disciplines, the use and development of software have become an integral part, with researchers reporting in publications the results obtained with software and concepts implemented in software. Consequently, publications and software have become two core artifacts in academia with increasing importance for measuring research impact and reputation. The research community has made great efforts to improve digital access to publications and software. However, even now that these artifacts are available in digital form, researchers still encapsulate the scientific information in static and relatively unstructured documents unsuitable for communication. The next step in the digital transformation of scholarly communication requires a more flexible, fine-grained, context-sensitive, and semantic representation of scientific information to be understandable, processable, and usable by humans and machines. Researchers need support in the form of infrastructures, services, and tools to organize FAIR scientific information from publications and software. Several research disciplines work on initiatives to organize scientific information, e.g., machine learning with “Papers-with-Code”, invasion biology with “Hi-Knowledge”, and biodiversity with “OpenBiodiv”. However, these initiatives are often technically diverse and limited to the respective application domain. For this reason, we from the task area Ellen of NFDI4Ing (and in collaboration with NFDI4DataScience and NFDI4Energy) decided to use the Open Research Knowledge Graph (ORKG), an innovative infrastructure for organizing scientific information from publications and software. The ORKG is a cross-discipline research knowledge graph that offers all research communities an easy-to-use and sustainably governed infrastructure. This infrastructure implements best practices, such as FAIR principles and versioning, with services combining manual crowd-sourcing and (semi-)automated approaches to support researchers in producing, curating, processing, and (re-)using FAIR scientific information from publications and software. As a result, organized scientific information is openly available in the long term and can be understood, processed, and used by humans and machines. Thus, research communities can constantly build, publish, maintain, (re-)use, update, and expand...
U2 - 10.5281/zenodo.8386041
DO - 10.5281/zenodo.8386041
M3 - Slides to presentation
ER -