The world is becoming more and more data driven. There are many ways to collect, analyse and disseminate data, and data ecosystems are among the most important environments that we have for facilitating this. Spatial data is one of the data types in data ecosystems, and data ecosystems play a key role in further value creation of the spatial data created, maintained and shared in the SDI. The workshop on “Data Ecosystems and Spatial Data Infrastructure (SDI) - facilitators for data value creation” brought together the views from actors ranging from the Local and National Authorities from Norway, Sweden and Denmark, European organisations such as the EC Joint Research Centre, The Alexandra Institute, and researchers working from different domains like spatial data, energy transition and building infrastructure. This report summarises the key takeaways from the presentations and the discussions during the breakout sessions that followed each of the topics as well as presenting a synthesis of the main findings of the workshop including the main take-aways for the SDI community.@en

Open data has many potential benefits including stimulating innovation, enhancing accountability and transparency, and improving the reproducibility and dissemination of research (Janssen et al., 2012; Uhlir and Schröder, 2007; Zhu et al., 2019). However, there are various shortcomings in the current open data initiatives such as the mismatch between the supply and demand of open data, the lack of appropriate software to process data, and confusion regarding data licenses (Johnson et al., 2017; van Loenen et al., 2021). The role of open data intermediaries is considered important to address these weaknesses. Open data intermediaries facilitate the use of and access to open data (Chattapadhyay, 2014; González-Zapata and Heeks, 2015) and build connections among open data stakeholders (Mayer-Schönberger and Zappia, 2011). It follows that open data intermediaries are regarded as one of the priority areas in open data research (Davies and Perini, 2016). Nevertheless, in-depth studies on open data intermediaries are scarce. Within the limited studies, they are found to face several challenges that may undermine their potential contribution to other open data stakeholders. For example, lack of financial planning (Flores, 2020), over-reliance on volunteers (Reggi and Dawes, 2016), and difficulty in securing data experts (Andrason and van Schalkwyk, 2017). Some of these challenges are associated with the lack of development of open data intermediaries’ business models (Kitsios et al., 2021; Reggi and Dawes, 2016). Before any research-based development of their business models can be carried out, a clear view of the existing business models is needed. Given this, the objective of this extended abstract is to review existing business models of open data intermediaries from the academic literature through a systematic literature review (SLR). Section 2 provides a brief background on the concept of a business model. Section 3 describes the research method. Section 4 presents the findings. Last but not least, Section 5 discusses the findings and proposes considerations for future studies. @en

The role of open data intermediaries is considered instrumental in the supply and use of open data. There are various definitions of open data intermediaries in the literature and some of them are quite different from each other. These definitions
can benefit from harmonization so knowledge about open data intermediaries can be developed on top of a shared understanding of what open data intermediaries mean. The objective of this article is to propose a common definition of open data intermediaries. We first carried out a systematic literature review and compiled the definitions of open data intermediaries from the literature. We found that each definition can be broken down into four basic components: (i) Who are the actors of open data intermediaries? (ii) What do they do? (iii) Where are they located in the open data lifecycle? and (iv) Why are they needed? We then conducted another round of data gathering and analysis to substantiate the four basic components. We proposed the following common definition of open data intermediaries: Third-party actors who provide specialized resources
and capabilities to (i) enhance the supply, flow, and/or use of open data and/or (ii) strengthen the relationships among various open data stakeholders.@en