Gieß, AnnaNeumann, JennyJussen, IlkaSchweihoff, JuliaKlein, MaikeKrupka, DanielWinter, CorneliaGergeleit, MartinMartin, Ludger2024-10-212024-10-212024978-3-88579-746-32944-7682https://dl.gi.de/handle/20.500.12116/45132Society and politics are increasingly demanding a shift to more sustainable behavior, especially from manufacturing companies. This can be a major challenge as they face technological, regulatory, economic, supply chain, and cultural hurdles when transitioning to more sustainable practices. However, data spaces offer new ways to sharing data can help to accurately calculate CO2 emissions and develop new business models based on it. To illustrate the impact of data spaces on sustainability we considered the example of the product carbon footprint. Doing so, we analyzed public data of the automotive network Catena-X and highlighted the added value for each actor in the ecosystem using the e³value modeling language. Supplementary, we transferred our findings into business model elements (value proposition, value creation and delivery, and value capture).enData SpacesData EcosystemsCO2-FootprintCatena-Xe³value ModelingText/Conference Paper10.18420/inf2024_1561617-54682944-7682