We’re glad to have Paul Vauterin join ONTOFORCE as Vice-President Visual Analytics. Paul’s an expert in software product creation and management, including vision, strategy and execution for biotech, human diagnostics, data mining and visual analytics applications.
Integrating an organization’s internal data is challenging. It requires strategic vision by the organization’s leadership and an open mindset on different levels. In our experience, establishing such a solution has a greater chance of success if stakeholders quickly and easily notice the benefits. Small pragmatic initiatives with few data sources that solve a limited number of use-cases, can demonstrate how things can improve for the whole organization.
One and a half years ago we started to work with Amgen to help them improve the way they search and retrieve research data. They were looking for a solution that could aggregate and interlink their internal research data, enrich it with public data and provide an appealing, user-friendly interface for end-users.
Right, before we dive into summer, we want to inform you of some great new features in DISQOVER.
In May 2017, Bio-IT World hosted its first hackathon on FAIR data. As ONTOFORCE, we helped organize the event and devoted a team to the competition on ‘Aligning a dataset to FAIR principles’. Here’s our report.
FAIR is a fairly recent concept that stands for ‛Findable, Accessible, Interoperable and Reusable’. On the face of it, these principles don’t seem so remarkable. But what sets it apart, compared to other (earlier) open data models, is that the emphasis has shifted from the human researcher to machines.
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