Quality Utility and Maturity Measured Developing a Data Quality and Utility La...
Quality Utility and Maturity Measured Developing a Data Quality and Utility Label for HealthData@EU
Context: Data users (i.e., researchers, innovators, regulation agencies and policy-makers) need high-quality data. In HealthData@EU, data holders are expected to make their datasets available for secondary use, providing a notion...
Context: Data users (i.e., researchers, innovators, regulation agencies and policy-makers) need high-quality data. In HealthData@EU, data holders are expected to make their datasets available for secondary use, providing a notion of their quality and utility and the maturity of their data quality procedures. In article 56 in the HealthData@EU proposed regulation, this notion would take the form of a label.
Goal: Overall, QUANTUM aims at developing and implementing a label mechanism that could be ideally adopted in the future HealthData@EU.
Methods: QUANTUM builds on 5 technical work packages (WP). WP1 conceptualises and provides technical specifications for a data quality, utility, and maturity label. WP2 designs and tests, at small-scale, the label. WP3 implements the labelling mechanism in a number of data holders. WP4 engages the data quality users’ community; and, WP5 outreaches other interested parties, including other initiatives building HealthData@EU.
Expected results: a) A common concept of datasets Quality and Utility and Data holders’ Maturity; b) Technical specifications for the label (Deliverable D1.1. and D1.2); c) A conformance checking tool that yields the label (D2.1); d) An implementation report of the label mechanism (D3.1); e) Recommendations for a large-scale implementation of the QUANTUM label mechanism (D3.2); and, f) The QUANTUM Exchange Platform and Academy (D4.2 and D4.3) as instruments for capacity building.
Consortium: For this purpose, 27 beneficiaries, 5 affiliated entities and 3 associated partners. The composition of the Consortium seeks to reflect the different roles and institutions in the governance of the HealthData@EU; virtually consider all types of data and science of interest; and gather the expertise of previous outstanding projects in the domainver más
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