Abstract
BackgroundResearch institutions need to manage multiple studies with individual data sets, processing rules and different permissions. So far, there is no standard technology that provides an easy to use environment to create databases and user interfaces for clinical trials or research studies. Therefore various software solutions are being used—from custom software, explicitly designed for a specific study, to cost intensive commercial Clinical Trial Management Systems (CTMS) up to very basic approaches with self-designed Microsoft® databases.FindingsThe technology applied to conduct those studies varies tremendously from study to study, making it difficult to evaluate data across various studies (meta-analysis) and keeping a defined level of quality in database design, data processing, displaying and exporting. Furthermore, the systems being used to collect study data are often operated redundantly to systems used in patient care. As a consequence the data collection in studies is inefficient and data quality may suffer from unsynchronized datasets, non-normalized database scenarios and manually executed data transfers.ConclusionsWith OpenCampus Research we implemented an open adoption software (OAS) solution on an open source basis, which provides a standard environment for state-of-the-art research database management at low cost.
Highlights
Research institutions need to manage multiple studies with individual data sets, processing rules and different permissions
With OpenCampus Research we implemented an open adoption software (OAS) solution on an open source basis, which provides a standard environment for state-of-the-art research database management at low cost
Various software solutions exist, ranging from customized software, explicitly designed for a specific study, to cost intensive commercial Clinical Trial Management Systems (CTMS), down to self-made Microsoft Access/Excel® based approaches. The latter is still the dominant solution in smaller research institutions, yet this cost effective approach lacks the principles of open access, documentation
Summary
Research institutions need to manage multiple studies with individual data sets, processing rules and different permissions. Various software solutions are being used— from custom software, explicitly designed for a specific study, to cost intensive commercial Clinical Trial Management Systems (CTMS) up to very basic approaches with self-designed Microsoft® databases. Various software solutions exist, ranging from customized software, explicitly designed for a specific study, to cost intensive commercial Clinical Trial Management Systems (CTMS), down to self-made Microsoft Access/Excel® based approaches. The latter is still the dominant solution in smaller research institutions, yet this cost effective approach lacks the principles of open access, documentation. Some articles have questioned the use of free Open Source Software like O penClinica® versus Commercial Systems like Oracle® Clinical that charge for user licenses and maintenance support [6, 7]
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