Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses
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 desc...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-03-01
|
| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13104-019-4210-7 |
| _version_ | 1818559192761368576 |
|---|---|
| author | Joeri Kalter Maike G. Sweegers Irma M. Verdonck-de Leeuw Johannes Brug Laurien M. Buffart |
| author_facet | Joeri Kalter Maike G. Sweegers Irma M. Verdonck-de Leeuw Johannes Brug Laurien M. Buffart |
| author_sort | Joeri Kalter |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T00:22:12Z |
| format | Article |
| id | doaj.art-84c45eec481540b8b2e5df42c971367d |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-14T00:22:12Z |
| publishDate | 2019-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-84c45eec481540b8b2e5df42c971367d2022-12-21T23:25:10ZengBMCBMC Research Notes1756-05002019-03-011211610.1186/s13104-019-4210-7Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analysesJoeri Kalter0Maike G. Sweegers1Irma M. Verdonck-de Leeuw2Johannes Brug3Laurien M. Buffart4Department of Epidemiology and Biostatistics, Amsterdam University Medical Centres, Vrije Universiteit AmsterdamDepartment of Epidemiology and Biostatistics, Amsterdam University Medical Centres, Vrije Universiteit AmsterdamAmsterdam Public Health Research InstituteDepartment of Epidemiology and Biostatistics, Amsterdam University Medical Centres, Vrije Universiteit AmsterdamDepartment of Epidemiology and Biostatistics, Amsterdam University Medical Centres, Vrije Universiteit AmsterdamAbstract 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.http://link.springer.com/article/10.1186/s13104-019-4210-7Flexible data harmonization platformEasy in use infrastructureCentralized and secured database server |
| spellingShingle | Joeri Kalter Maike G. Sweegers Irma M. Verdonck-de Leeuw Johannes Brug Laurien M. Buffart Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses BMC Research Notes Flexible data harmonization platform Easy in use infrastructure Centralized and secured database server |
| title | Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses |
| title_full | Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses |
| title_fullStr | Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses |
| title_full_unstemmed | Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses |
| title_short | Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses |
| title_sort | development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta analyses |
| topic | Flexible data harmonization platform Easy in use infrastructure Centralized and secured database server |
| url | http://link.springer.com/article/10.1186/s13104-019-4210-7 |
| work_keys_str_mv | AT joerikalter developmentanduseofaflexibledataharmonizationplatformtofacilitatetheharmonizationofindividualpatientdataformetaanalyses AT maikegsweegers developmentanduseofaflexibledataharmonizationplatformtofacilitatetheharmonizationofindividualpatientdataformetaanalyses AT irmamverdonckdeleeuw developmentanduseofaflexibledataharmonizationplatformtofacilitatetheharmonizationofindividualpatientdataformetaanalyses AT johannesbrug developmentanduseofaflexibledataharmonizationplatformtofacilitatetheharmonizationofindividualpatientdataformetaanalyses AT laurienmbuffart developmentanduseofaflexibledataharmonizationplatformtofacilitatetheharmonizationofindividualpatientdataformetaanalyses |