## 3 7R Data Value Framework in Practice
### Stakeholder Relationships, Business Cases and Data Strategy
#### 3.1.2 R2: Researching Requirements  
The two-day user kick-off workshop presented the Fusepool platform and created important feedback for optimizing the Fusepool functionalities. Exemplary functionalities that were translated into system requirements included:  
* Mapping and clustering functions (cluster visualization of documents);
* trending and classification functions (e.g., for patents/PubMed);
* predictive analytics to improve search results;
* annotation functions for users (required for predictive analytics);
* multi-language facilities for search, filtering, notifications;
* hiding functionalities for lay users, suggestions for advanced users;
* showing organizations, person names, and locations;
* overview of all data pooled in the platform;
* connecting people to documents, to optimize searching. At the following workshop, users were asked to provide their own scenarios on how to take things further. To maximize creative thinking and presenting, no strict format was given. Users could present in any way they preferred, which resulted in new ideas that were later prioritized. Almost all user pitches emphasized the combination of funding and partner matching tools to be of high importance for them. A majority of users also mentioned that if such a tool existed, they would most likely merge the service directly into their own business workflow. The results were analyzed, prioritized and translated into system requirements by Fusepool members. * **ExAMPLE:****Patent Explorer Use Case**  
_Rationale_  
In the joint publication titled _Why researchers should care about patents_, the European Commission (DG Research) and the European Patent Office emphasize that approximately 80% of scientific and technical information can be derived from patents. The publication lists a number of reasons:  
* Avoid duplication of R&D efforts and spending: Patents are the broadest source of technical information. Many companies do not disclose their R&D results in any other form. Looking up patents therefore is an efficient way to avoid duplication of R&D work; up to 30% of all expenditure in R&D is wasted on redeveloping existing inventions;
* Gather business intelligence: Patent information not only reveals the state-of-the-art in certain technology areas, but also enables monitoring the innovation strategies of competitors and other players at a very early stage. The bibliographic metadata of patents provides important information for identifying potential partners for cross-licensing and collaboration. Hence, the PatentExplorer and PartnerMatch use cases provide concrete examples with real business value for interlinking two traditionally separated datasets. _Use Case_  
In my role as researcher (manager/adviser), I want to assess the patent landscape of the research field in order to understand potential business risks (infringement) and opportunities (collaboration). (1) [PERSON] enters a text string describing the research and starts the search;  
(2) [PERSON] views retrieved entities ranked based on the relevance score of searched entities;  
(3) [PERSON] limits retrieved entities to \"patent\" (displayed are only the patents);  
(4) [PERSON] leaves the default display type of retrieved entities at \"landscape\";  
(5) In the resulting map of patent clusters (described by the most frequently occurring terms in them), [PERSON] hovers over a patent in a cluster and views description and metadata.