EPSC Abstracts Vol. 14, EPSC2020-285, 2020, updated on 01 Oct 2021 https://doi.org/10.5194/epsc2020-285 Europlanet Science Congress 2020 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Google Dataset Search and DOI for data in the ESA Space Science Archives Arnaud Masson, Guido De Marchi, Bruno Merin, Maria Henar, and David Wenzel ESAC/ESA, SCI-O, Madrid, Spain ([email protected]) The ESAC Science Data Centre (ESDC) is in the process of registering Digital Object Identifiers (DOIs) for datasets or group of datasets accessible across the ESA Space Science Archives managed by ESDC. These DOIs are persistent URL that point to DOI landing pages setup and managed by ESDC, actually located at https://www.cosmos.esa.int/web/esdc/doi In the heliophysics domain, the first step has been to register DOIs related to the datasets measured by experiments onboard ESA heliophysics spacecraft. Around 60 experiments are flying or have been flown so far onboard ESA heliophysics missions. At the moment, 47 DOI have been registered with CrossRef pointing to DOI landing pages for each experiment onboard SOHO, Proba-2, Cluster, Double Star, Ulysses and ISS-Solaces and are publicly accessible at https://www.cosmos.esa.int/web/esdc/doi/heliophysics. Discussions are on-going with editors of major journal to promote and acknowledge the use of data from any of these experiments by citing these DOIs. Eventually, this would improve the traceability of the usage of datasets from these experiments. Additionally, a JavaScript Object Notation (JSON) script has been added to these DOI landing pages to make them discoverable through Google Dataset Search (GDS). GDS is a new search engine that helps users to find datasets online. Twenty five millions datasets were already indexed and searchable when this service was launched in early 2020, after a beta version released in late 2018. Thanks to a close interaction with the PI teams, DOIs for ESA heliophysics experiments are now easily discoverable through GDS and not only by looking for a particular experiment name. The use of structured metadata, based on schema.org, has enabled the search through physical processes investigated by these experiments, the type of experiments, the time coverage, the PI names or their affiliation… Various examples will be provided while the next steps of development will be outlined. Powered by TCPDF (www.tcpdf.org).