CastorEDC API: A Python Package for Managing Real World Data in Castor Electronic Data Capture

Reinier Cornelis Anthonius van Linschoten; Sebastiaan Laurens Knijnenburg; Rachel Louise West; Desirée van Noord

doi:10.5334/jors.436

CastorEDC API: A Python Package for Managing Real World Data in Castor Electronic Data Capture

Volume 11 (2023): Issue 1

By: Reinier Cornelis Anthonius van Linschoten , Sebastiaan Laurens Knijnenburg , Rachel Louise West and Desirée van Noord

Open Access

|Oct 2023

Abstract

Real world data is being used increasingly in medical research. Castor Electronic Data Capture is a secure and user-friendly platform for managing study data. Integrating data from several databases into a single Castor database is complex. We developed CastorEDC API, a free and open source Python package which can be used to interact with the API of Castor, and through which data can be imported from multiple sources into a Castor database. The importer reads, cleans, validates and imports data while accounting for differences in column structure and variable coding between databases.

https://github.com/reiniervlinschoten/castoredc_api.

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Articles in this issue

DOI: https://doi.org/10.5334/jors.436 | Journal eISSN: 2049-9647

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Language: English

Submitted on: Jun 30, 2022

Accepted on: Oct 13, 2023

Published on: Oct 20, 2023

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

© 2023 Reinier Cornelis Anthonius van Linschoten, Sebastiaan Laurens Knijnenburg, Rachel Louise West, Desirée van Noord, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 11 (2023): Issue 1