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Social sciences and humanities (SSH) research is divided across a wide array of disciplines, sub-disciplines and languages. While this specialization makes it possible to investigate the extensive variety of SSH topics, it also leads to a fragmentation that prevents SSH research from reaching its full potential. The TRIPLE project brings answers to these issues by developing an innovative discovery platform for SSH data, researchers’ projects and profiles. Having started in October 2019, the project has already three main achievements that are presented in this paper: (1) the definition of main features of the GOTRIPLE platform; (2) its interoperability; (3) its multilingual, multicultural and interdisciplinary vocation. These results have been achieved thanks to different methodologies such as a co-design process, market analysis and benchmarking, monitoring and co-building. These preliminary results highlight the need for respecting diversity of practices and communities through coordination and harmonization.

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Social Sciences and Humanities research is divided across a wide array of disciplines, sub- disciplines and languages. While this specialisation makes it possible to investigate the extensive variety of SSH topics, it also leads to a fragmentation that prevents SSH research from reaching its full potential. Use and reuse of research is suboptimal, interdisciplinary collaboration possibilities are often missed partially because of missing standards and referential keys between disciplines. Often, the reuse of data may paradoxically complicate a relevant sorting of data and a trust relationship between researchers. As a result, societal, economic and academic impacts are limited. Conceptually, there is a wealth of transdisciplinary collaborations, but in practice there is a need to help researchers and research institutions to connect them and support them, to prepare the research data for these overarching approaches and to make them findable and usable. The TRIPLE (Targeting Researchers through Innovative Practices and Linked Exploration) project is a practical answer to the above issues, as it aims at designing and developing the European discovery platform dedicated to Social Sciences and Humanities resources. Funded under the European Commission program INFRAEOSC-02-2019 “Prototyping new innovative services”, thanks to a consortium of 19 partners, TRIPLE will develop a full multilingual and multicultural solution for the discovery and the reuse of Social Sciences and Humanities resources. The project started in October 2019 for a duration of 42 months thanks to European funding of 5.6 million €.

This article discusses the role of data sources in data-driven circular business models (CBMs) that support sustainability. The circular economy (CE) is a response to the challenge of meeting sustainability targets, and CBMs have gained traction in recent years. Big data is seen as a driving force for the new circular economy, and can help overcome barriers to CBMs. Data sources are key elements of data-driven solutions, and this paper collects use cases that contain data-driven business models that contribute to CE, analyzes those use cases, identifies circular strategies in businesses, and displays the connection of them with data sources. The most frequently used circular strategies in the analyzed use cases are Reduce, Rethink, and Recycle, and the most frequently used data sources are Product-generated Data, Process Data, Open Data, Geographic Data, and User-generated Data. The paper recommends businesses focus on collecting product- and user-generated data for implementing circular strategies in their business model.