Exploiting the Value of Data through Data Value Networks

Open Government Data as a Reform and Ecosystem : A conceptual framework for evolution and health

“…The expectations of providers and enrichers are many and welldescribed (e.g., Berners- Lee, 2015;Lindman, Kinnari, and Rossi, 2016;Berends, Carrara, Engbers, and Vollers, 2017;Mokobombang, Gutierrez, and Petrova, 2020), while previous OGD research seems to assume seekers to be easy, want OGD, or ask their participation. For example, Attard, Orlandi, and Auer (2017) explain that the data flow ends with the enricher and Kucera and Chlapek (2014) state that OGD could increase transparency because seekers get better availability and accessibility to data about the performance of the public sector. However, seekers direct use of OGD appears to be a myth (Davies, 2010;Mayer-Schönberger and Zappia, 2011;Hunnius and Krieger, 2014;Hellberg and Hedström, 2015).…”

“…Previous OGD research contains three major issues related to synthesizing an ecosystem perspective that needs to be solved to disentangle an OGD reform from its OGD ecosystem. The three issues are: (1) an OGD ecosystem is often treated as one cohesive unit (e.g., Folmer et al, 2011;Lee, 2014;Oliveira and Lóscio, 2018) when it consists of several smaller ecosystems (Harrison, Pardo, and Cook, 2012;Ubaldi, 2013); (2) the extensive infrastructure that is the foundation for an OGD ecosystem is often abated and not fully integrated into an OGD ecosystem perspective (e.g., Van Schalkwyk, Willmers, and McNaughton, 2016;Dawes, Vidiasova, and Parkhimovich, 2016;Crusoe, 2019b); and (3) the legal system tends not to be incorporated into an OGD ecosystem perspective (e.g., Attard, Orlandi, and Auer, 2016;Abella, Urbina-Criado, and De-Pablos-Heredero, 2019;Crusoe, 2019b), when it can enable and limit an OGD ecosystem by laws, regulations, and licenses (De Rosnay and Janssen, 2014). On the other hand, information systems can provide insights into how providers and enrichers can consider seekers, but also concepts for the society of an OGD reform and an OGD ecosystem.…”

“…OGD researchers and OGD practitioners have used several approaches to understand and depict OGD as a larger socio-technical system. For example, ecosystems (e.g., Immonen, Palviainen, and Ovaska, 2014;Dawes, Vidiasova, and Parkhimovich, 2016), lifecycles (e.g., Zuiderwijk, Janssen, Choenni, Meijer, and Alibaks, 2012;Attard, Orlandi, Scerri, and Auer, 2015), value networks (e.g., Attard, Orlandi, and Auer, 2016;Lindman, Kinnari, and Rossi, 2016), marketplaces (e.g., Zuiderwijk, Loukis, Alexopoulos, Janssen, and Jeffery, 2014), and value chains (e.g., Berends, Carrara, Engbers, and Vollers, 2017). In this section, I use "OGD ecosystem" as an umbrella term for the various approaches.…”

Can a Blockchain-Based Maas Create Business Value?

“…However, since it was not developed to analyze data services, it does not serve equally well when analyzing contemporary data services such as MaaS. Thus, targeted alternative approaches are being developed, e.g., 'linked-data linear value chain' [24] or non-linear 'data value network' [25]. Nonetheless, there is limited consensus among academics and practitioners regarding the best approach to evaluate value creation through data generated by products and services in the 21st century.…”

Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace

“…• Data Tier 3: Aviation-derived & Aviation-combined Data contains data and knowledge from other sectors (like Health, Tourism, Public Sector) that can be combined with aviation data from tiers 1 and 2 to produce new derived data and create new knowledge that would be impossible to deduce otherwise. Taking into account the different roles and the interactions anticipated in the Industrial Data Space [4], as well as the additional roles, such as data publisher, data facilitator, data broker and data curator, that are often encountered in the bibliography [5], our approach has conceded for simplicity reasons to adopt only the core roles of: Data Provider (responsible for generating and maintaining data) and Data Consumer (accessing, using, and running analytics on data acquired from their rightful data providers).…”