Sustainable living. learning. researching



provides a research resource for the integrated and efficient analysis of the human exposome. One primary outcome of the project is the complete process for obtaining actionable knowledge from the following sustainable cohorts: 1) a nation-wide Maternity Cohort where the impact of exposures on the health of women and children is supported by measures from wearable exposure sensors and metabolomics analysis, 2) a large cervical screening cohort enabling studies on women`s health supported with systematic epigenomics and metagenomics analyses, 3) and the systematic collection of consumer purchasing receipts linked to health outcomes opens new possibilities for assessing the impact of exposures on health in households. HEAP launches a state-of-the-science informatics infrastructure (IaaS) composed of prime ICT resources from partner institutions in several EU countries, accessed through a software platform (PaaS) that includes the world’s fastest Hadoop platform to provide data warehousing and applied AI.

All the data managed and processed by HEAP will be available for future research as well as the developed analyses. The Medical University of Graz (MUG) coordinates the “data interoperability and data sharing” work package ensuring the efficient use and reuse of HEAP information results. There we make the HEAP Information Commons Findable, Accessible, Interoperable and Reusable (FAIR), according to the needs of the scientific community (fit for purpose) and to ensure sustainability of data formats, identifiers and data access procedures. We monitor and self assess data quality and interoperability level and propose corrective actions, if necessary.

Duration: 01/2020 - 12/2024

  • Muniverse
  • VMC Moodle
  • Forschungportal
  • MEDonline
  • Library