2Facilitate has two main aims: (1) to provide community support on all aspects of FAIR data and related infrastructures in NFDI4Earth and (2) to advance new technologies for FAIR data as best practice examples / templates.

Thus, 2Facilitate will offer a first port-of-call for all participants and community members to start and/or continue their journey to FAIR data management in Earth System Sciences. We will provide a OneStop4All to act as an initial visible contact point. In a structured way, this web-based contact point will provide basic information on the general principles of FAIR data, e.g. how to find and access existing data sets, how to contact existing repositories, how to take first steps in making data FAIRer, and how to find other services provided by NFDI4Earth. User requests going beyond the basic requirements will be routed to the User Support Network. Here, experts will directly interact with the people asking the questions. The experts will also provide a bridge to the existing support infrastructures of the relevant partners, including offers such as data curation and data stewardship. To demonstrate best practices and foster the interaction between long-tail data and comprehensive data sources, the other activities will closely interact with the OneStop4All and User Support Network teams. Governmental Data activities will provide the wealth of data that exists in governmental data bases and is strictly regulated by national and international laws and standards. Data in Long-Term storage provides an additional sustainability perspective that will also be of interest for new comprehensive and long-tail data sets. Thus, making long-term storage more accessible for use (data-in) and re-use (data-out) will be an aim. Our Advancing Tools measure provides a bracket to the best-practise exploration of data in all sorts of repositories. 
In close collaboration with 2Participate, state-of-the-art solutions based on data cubes and other emerging technologies will be explored (e.g. creation of data cubes from governmental data and analysing it in conjunction with other remote sensing data). Some results will be presented in Thematic Viewers (TVs) that form part of the RF E&E DataHub to the general public. This best practices model should be seen as an example, and other data models (also as part of other emerging technologies) will be added at a later stage.

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