Author: research
-
Clean Data
•Handle the missing values •Deal with unrealistic (garbage) data •Cross-tabulate the data for inconsistency checks •Undertake all other needed steps
-
Organize Data
•Enter the data •Name and organize files •Develop data coding system as needed •Keep the documentation for implemented changes
-
Design data management
•Create Data Management Plan •Define data to be collected •Choose data handling format(s) •Develop intellectual property rights agreement •Develop data protection and ethics code
-
Research Data Management
Maximize the value of your research with our comprehensive Research Data Management (RDM) services. In today’s fast-paced scientific environment, managing data effectively is crucial to ensuring your research stands the test of time. Research in Vision offers tailored RDM solutions designed to help you organize, store, and preserve the data generated throughout your research project.…
-
-
Initiate quantitative research
•Develop research question •Develop hypothesis •Develop research proposal
-
Execute quantitative research
•Collect data •Support researchers to maintain timeline •Process Data •Clean Data
-
Observational research consultations
Looking for expert guidance to enhance your research? Our Observational Research Consultation services are here to support you at every stage of your project! Whether you’re just starting out or already deep into your study, we provide consultations tailored to meet your unique needs—from proposal writing to study report preparation. Research in Vision’s experienced team…
-
Pilot the implementation
•Develop methodology for a pilot •Execute the pilot •Analyze data •Make adjustments to indicators (if needed)
-
Execute the project
•Develop Indicators •Present Indicators •Discuss the feasibility •Choose most appropriate indicators •Agree on final list of indicators