This use case was initiated in collaboration with the Data Sharing Coalition, one of the founding partners of the CoE-DSC.
Industry associations want to consume data for creation of industry insights and benchmarks. However, in many sectors data is not yet shared or data is shared manually which requires a lot of effort and can include human error or other data inaccuracies. A generic design on how members can share data with industry association for creation of industry insights and benchmarks provides an opportunity to create new value.
Industry insights and benchmarks for members of industry associations
In cooperation with the Data Sharing Coalition, SBR Nexus is developing a use case in cooperation with multiple industry associations where data of industry association members is shared with industry associations to create valuable insights about the whole sector. This concerns different types of data, stored at different cross-domain sources (e.g. financial data stored at an accountant, production efficiency data stored in machines, and/or CO2 footprint data stored at energy providers). Extracting, analysing and reporting this data allows an industry association to provide its members and the larger public (e.g. government agencies) with aggregated insights and trends in industry performance in different relevant (policy) areas. Also, these insights can be used to benchmark an organisation’s individual performance relative to its peers.
A generic design to accelerate implementation
Together with the Data Sharing Coalition, SBR Nexus created a generic use case design that is scalable to different industry associations and multiple data types, by aligning design choices with best practices and different data sharing contexts. For example, open or closed data sources, yearly or daily data streams and sensitive or non-sensitive data. This means that an industry association can consume multiple data types based on the same generic design.
To achieve this, it is mapped what is required (e.g. standards, rules and agreements) in different contexts of the use case, whether these requirements can be fulfilled generically (across industries) and how these are fulfilled. This use case enables industry associations in all domains to accelerate data sharing activities and facilitates scalability of data sharing activities to different industry associations and multiple data types.
During the development of a generic design insights have been gained on requirements and fulfilment of requirements within multiple sectors and multiple data sharing contexts. These insights have been documented and incorporated in the Harmonisation Canvas, a document that serves to build a foundation for generic, cross-domain agreements for data sharing.
Collaboration within the use case
Through multiple workshops, SBR Nexus and the Data Sharing Coalition created a generic use case design (including a data sharing interaction model and an overview of business, legal, operational, functional and technical requirements for sharing data) that is scalable to different Industry Associations and multiple data types.
Together with several Industry Associations, we discussed the potential role they could play as a trusted intermediary for data sharing. In their role as ‘Data Trust’, Industry Associations function as intermediaries that securely open up data of members to external organisations to create new value for members. By combining different data sources from different members, the Data Trust can share aggregated and anonymised data on behalf of their members with interested organisations. Although Industry Associations recognise the potential of fulfilling this role as a trusted intermediary with regards to data sharing, they do not consider this a priority in the near future.
Findings of this use case
Do you want to learn more about the use case design, insights on the context of the use case and insights on how the use case can be implemented in a scalable way to other use cases with similar roles? Please download our report which includes our most important findings so far.
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