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

Q1 Social Sciences Journal of Open Research Software Pub Date : 2023-01-01 DOI:10.5334/jors.436
Reinier Cornelis Anthonius van Linschoten, Sebastiaan Laurens Knijnenburg, Rachel Louise West, Desirée van Noord
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引用次数: 0

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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CastorEDC API:在Castor电子数据捕获中管理真实世界数据的Python包
真实世界的数据越来越多地用于医学研究。Castor电子数据捕获是一个安全和用户友好的平台,用于管理研究数据。将来自多个数据库的数据集成到单个Castor数据库中是很复杂的。我们开发了CastorEDC API,这是一个免费的开源Python包,可以用来与Castor的API交互,通过它可以将数据从多个来源导入到Castor数据库中。导入器读取、清理、验证和导入数据,同时考虑数据库之间列结构和变量编码的差异。https://github.com/reiniervlinschoten/castoredc_api。
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
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