The data driven lab development is being intensified by the fact that patients and potentially research respondents will have the data portability right to get a copy of their (raw) data copy (blue button). The GDPR (European Privacy Act – AVG) enforces any institution that has privacy sensitive (clinical and research) data to demonstrate that they have a data sharing process as well as their information security in place and auditable. We applied the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) to a data driven lab for genetic tests. The FAIR principles have since received worldwide recognition by various organizations including National Institutes of Health (NIH), the European Commission and industry suppliers as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse across multiple stakeholders including Citizens (patients) Health insurers, doctors, pharmacists, Research Grant Organizations, Ministry of Health, Pharma and Biotech Industry. The big challenge is how to implement this?
What differs the data driven lab from others and why do we think it’s important?
|Using the scientific health data||Research, Industry/Discovery||Learn how clients receive personalized lab data and direct support|
|Creating the data||Lab (Genetics, Pathology, Radiology)||Learn about FAIR data curation and opportunities for (big data) re-use|
|Managing the data||Management team||Learn how the lab becomes part of a value network|
|Industry partners||Lab instrument and data service providers||Learn how to co-operate with labs and their clients and monitor the data quality|
|Data driven lab sponsors||Health insurers. Research Grant Organizations. Ministry of Health. Industry. Citizens.||Learn how a lab is key service component of a data driven health value chain|
150€. Includes conference material, coffee/tea refreshments and lunch. Registration is mandatory.