OntoCRF: data collection and ontologies

OntoCRF is a tool that centralises data collection in a structured manner through ontology design, formalising and expressing the content, concepts and relationships in a field of interest. Furthermore, it is integrated into a responsive web environment so that any support type can be used (web, tablet, smartphone, etc.).
This solution allows researchers to:
- Record and consolidate data
- Specify the data model and explicit inclusion of knowledge
- Create a collaboration environment and a user-friendly environment
- Enter data via the Internet from different work stations
- Use a multi-lingual option for any given research project
- Have access to tools such as agenda and event management, document and image library and discussion fora
- Subsequently perform data mining for analysis
Advantages
- No development, database maintenance and web application registration costs
- No programming required
- Prototypes available from the beginning through pre-configured demos
- Automatic data storage and interface
- Integration standard compliance with other information systems
- Compliance with security and privacy requirements, through digital certificates and profile configuration
- Structured and non-redundant growth of the study scope. Using ontologies allows users:
- To decide the level of complexity they wish to give the conceptual system
- Flexibility in modifying and extending variables in real time
- Model analysis and reuse
- To work independently from specialists in information systems for study parametrisation
- Relational databases that can export the information recorded to data analysis systems (e.g. SPSS, Excel, etc.).
Summary
- Latest version:
- V3.1.3 - 15/06/2022
- More information:
- [ Contact us ]
- Available documentation:
- [ OntoCRF ]