Data capture

Acquiring, capturing, and annotating data sets from various sources and multiple locations requires dedicated software tools and services that are able to help you as a researcher to clearly organize, represent and manage your data in a FAIR (Findable, Accessible, Interoperable, Reusable) manner. The key data modalities for biomedical research (imaging, clinical, biosamples, multi-omics) are supported with dedicated services.

Several data capture services are available at the moment. These are briefly described below.

OpenClinica is a web-based software tool designed to capture clinical study data. The standard way to capture data in clinical studies is via Case Report Forms (CRF) which are specifically designed to collect study data in a structured format. With OpenClinica, you as sponsor (or delegate) of the study can design CRFs that accurately represent the protocol of the clinical study, as well as managing their production, monitoring data collection and auditing the content of the completed CRFs.

The Clinical Trial Processor (CTP) is a software tool/service for de-identifying and submitting imaging data to image archives like XNAT.

XNAT is a software tool/service designed for archiving clinical images as well as to store image-derived information, such as annotations and processed versions of images.