A common data model for harmonization in the Nordic Pregnancy Drug Safety Studies (NorPreSS)
DOI:
https://doi.org/10.5324/nje.v29i1-2.4053Sammendrag
It is necessary to carry out large observational studies to generate robust evidence about the safety of drugs used during pregnancy. In the Nordic countries, nationwide population-based health registers that document all births and dispensed prescribed drugs are valuable resources for such studies. A common data model (CDM) is a data harmonization and structuring tool that enables a unified and streamlined analytic approach for studies including data from multiple countries or databases. We describe a CDM developed for the Nordic Pregnancy Drug Safety Studies (NorPreSS), including details on data sources and structure of the data tables. We also provide an overview of the advantages and disadvantages of the approach (e.g. sharing of data analysis programs versus extra initial work to create CDM datasets from raw data).
Downloads
Nedlastinger
Publisert
Hvordan referere
Utgave
Seksjon
Lisens
Opphavsrett 2021 Jacqueline M. Cohen
Dette verket er lisensiert under en Creative Commons Attribution 4.0 International Lisens.
Norsk Epidemiologi licenses all content of the journal under a Creative Commons Attribution (CC-BY) licence. This means, among other things, that anyone is free to copy and distribute the content, as long as they give proper credit to the author(s) and the journal. For further information, see Creative Commons website for human readable or lawyer readable versions.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).