Trusted collaboration to drive instrument data quality and discovery value creation
TrustDocA supports Data driven Labs with shared Standard Operating Procedures from data creation to client delivery.
TrustDocA orchestrates instrument data to make it available for trusted data sharing and long term archiving. It uses a shared document with Standard Operating Procedures to monitor the data transactions. Data is captured at the moment of creation and governance and metadata are added to be able to support a trusted data service delivery process. The system is implemented for genetic Array test data. The blueprint of the service architecture is generic and is based on the FAIR principles. If data is already standard like DICOM image data, there is only a governance metadata enrichment for discovery/study data capture use needed. Other image/video and instrument data like microscopes, spectroscopes, sequencers and cameras need to be standardized with a minimal metadata set to be able to make it FAIR. It is important to implement this process at the moment of data creation and integrate it with an easy user interface in the end-user workflow. This first data driven lab process delivers FAIR-1 data. The total process flow is described in more detail in this presentation.
The data flow and services are used in a discovery process. We call it discovery, because the users of the service are beside (scientific) researchers also clinicians and industry users. The process is different from the clinical/EMR process, because there is a need to discover and it's not limited to one patient/case but a study collection.