Academic Journal
Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses
| Title: | Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses |
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| Authors: | Joeri Kalter, Maike G. Sweegers, Irma M. Verdonck-de Leeuw, Johannes Brug, Laurien M. Buffart |
| Source: | BMC Research Notes, Vol 12, Iss 1, Pp 1-6 (2019) |
| Publisher Information: | BMC, 2019. |
| Publication Year: | 2019 |
| Collection: | LCC:Medicine LCC:Biology (General) LCC:Science (General) |
| Subject Terms: | Flexible data harmonization platform, Easy in use infrastructure, Centralized and secured database server, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390 |
| More Details: | Abstract Objective Harmonizing individual patient data (IPD) for meta-analysis has clinical and statistical advantages. Harmonizing IPD from multiple studies may benefit from a flexible data harmonization platform (DHP) that allows harmonization of IPD already during data collection. This paper describes the development and use of a flexible DHP that was initially developed for the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) study. Results The DHP that we developed (I) allows IPD harmonization with a flexible approach, (II) has the ability to store data in a centralized and secured database server with large capacity, (III) is transparent and easy in use, and (IV) has the ability to export harmonized IPD and corresponding data dictionary to a statistical program. The DHP uses Microsoft Access as front-end application and requires a relational database management system such as Microsoft Structured Query Language (SQL) Server or MySQL as back-end application. The DHP consists of five user friendly interfaces which support the user to import original study data, to harmonize the data with a master data dictionary, and to export the harmonized data into a statistical software program of choice for further analyses. The DHP is now also adopted in two other studies. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1756-0500 |
| Relation: | http://link.springer.com/article/10.1186/s13104-019-4210-7; https://doaj.org/toc/1756-0500 |
| DOI: | 10.1186/s13104-019-4210-7 |
| Access URL: | https://doaj.org/article/84c45eec481540b8b2e5df42c971367d |
| Accession Number: | edsdoj.84c45eec481540b8b2e5df42c971367d |
| Database: | Directory of Open Access Journals |
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| ISSN: | 17560500 |
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| DOI: | 10.1186/s13104-019-4210-7 |
| Published in: | BMC Research Notes |
| Language: | English |