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Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project
Additionally, the detailed metadata for all 3 vaccine trials were systematically developed using internal standards, terminology, and the general approach of Clinical Data Acquisition Standards Harmonization (CDASH) [12] for data collection, such as on electronic CRFs (e CRFs; Table 1).
JMIR Med Inform 2025;13:e65590
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The Australian Genetic Heart Disease Registry: Protocol for a Data Linkage Study
All data harmonization and analyses will be conducted using the R software (version 4.2.3; R Foundation for Statistical Computing). Harmonization of the data sets will involve systematic identification and removal of any duplicate records, checking for a consistent number of person-level records across the data sets, consistency across variables (eg, admission dates before discharge dates), checking for outliers, and identification and flagging of missing or invalid data.
JMIR Res Protoc 2023;12:e48636
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Therefore, increased transnational collaboration and harmonization can further improve research quality. The Horizon 2020 Project Virtual Health and Wellbeing Living Lab Infrastructure (VITALISE), funded by the European Union (under grant agreement 101007990; April 2021 to March 2024), unites 19 partners (AIT, AUTH, AV, CERTH, ENo LL, GAIA, INTRAS, LAUREA, Li Calab, LLSA, Mc GILL, SLIMMER, SIT, TREBAG, Ude M, UPM, VICOM, VILABS, and WITA) across 11 countries (Table 1).
JMIR Res Protoc 2022;11(3):e34537
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The Living Lab harmonization work conducted in the context of 15 health and well-being Living Labs across the Baltic Sea region acts as a starting point for this study [3]. In VITALISE, Living Labs are considered RIs. In regulation 1291/2013, the EU Parliament and Council of the EU define RIs as “facilities, resources and services that are used by the research communities to conduct research and foster innovation in their fields” [4].
JMIR Res Protoc 2022;11(1):e34567
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