/categories/success-story/ Recent content in Success Story on NFDI4DS Hugo -- gohugo.io en /community/success-stories/science-slams/ Mon, 01 Jan 0001 00:00:00 +0000 /community/success-stories/science-slams/ The NFDI Science Slam - organized by NFDI4DataScience - combines entertainment with research data management topics NFDI4DS organises various events that bring research data infrastructures closer to the general public. In cooperation with Berlin Science Week, NFDI4DS organises a Science Slam every year. The idea is to explain the work of the NFDI and its consortia in an understandable and entertaining way. So far we have successfully implemented 3 issues in 2021, 2022 and 2023 with a total of 14 slams from 11 consortia. Up to 80 people participated in the event personally and up to 200 people virtually. All slams are available on Youtube. /community/success-stories/ai-ethics-videos/ Mon, 01 Jan 0001 00:00:00 +0000 /community/success-stories/ai-ethics-videos/ The AI Ethics Video Series by NFDI4DataScience clarifies ethical questions on Artificial Intelligence NFDI4DS develops training materials and organises events that deal with processes and methods of data science and AI. In this context, a video series on ethical aspects in AI was produced. For this purpose, a curriculum was developed and a questionnaire was created for the series. Each episode highlights a specific aspect and interviews well-known experts in the field. The target audience is practitioners from the data science and AI community. You can find the ten currently published videos of the series on YouTube /community/success-stories/lecture-series/ Mon, 01 Jan 0001 00:00:00 +0000 /community/success-stories/lecture-series/ NFDI4DS lecture series foster collaboration within AI and data science The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure (NFDI) for the Data Science and Artificial Intelligence community in Germany. This will also deliver benefits for a wider community requiring data analytics solutions, within the NFDI and beyond. The key idea is to work towards increasing the transparency, reproducibility and fairness of Data Science and Artificial Intelligence projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. The NFDI4DS Lecture Series fosters collaboration, exchange of ideas, and discussions among various national and international stakeholders. /community/success-stories/meta-portal/ Mon, 01 Jan 0001 00:00:00 +0000 /community/success-stories/meta-portal/ The Meta Portal by NFDI4DataScience interconnects metadata The key idea of NFDI4DS is to work towards increasing the transparency, reproducibility, and fairness of Data Science and AI projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. As a key component of this vision, a Meta Portal will be provided that will integrate a variety of different resources such as publications (e.g. from Zenodo), data (e.g. from CKAN, DSpace, Dataverse, Invenio) and code (e.g. from GitHub and GitLab). The Meta Portal will provide a number of different tools, including one for assessing metadata quality. The Meta Portal is based on piveau, a data management ecosystem for the public sector. /community/success-stories/orkg/ Mon, 01 Jan 0001 00:00:00 +0000 /community/success-stories/orkg/ The Open Research Knowledge Graph by NFDI4DataScience enables the finding of scientific work Academic knowledge. Comparable. The core idea of NFDI4DS is to increase the transparency, reproducibility, and fairness of data science and AI projects by making all digital artefacts available, interlinking them, and providing innovative tools and services. The Open Research Knowledge Graph (ORKG) is a key component of this vision. It aims to describe research in a structured way. With the ORKG, work is easier to find and compare. ORKG: https://orkg.org/ Stories from researchers: https://orkg.org/about/36/ORKG_Stories Quick overview for beginners: https://orkg.org/about/14/Get_started /community/success-stories/shared-tasks/ Mon, 01 Jan 0001 00:00:00 +0000 /community/success-stories/shared-tasks/ Shared AI tasks attract the AI and Data Science community Shared AI tasks provide a framework for scientifically exciting and challenging tasks for the NFDI4DS community. A shared task is a friendly competition to solve a research problem in the field of data science and AI hosted as a scientific event. NFDI4DS is organizing an extensive line-up of shared tasks. Each shared task contains a specific challenge together with a dataset. Our shared tasks are running in the context of workshops at well-known events with published proceedings. Peer-reviewed workshops assure the quality of the selected shared tasks. One highlight in 2024 was an NFDI4DS-organized workshop on natural scientific language processing (NSLP 2024) co-located with the ESWC conference, which hosted two shared tasks on field of research classification (FoRC) and software mention detection (SOMD).