Data capture is a process of collecting and organizing information or extracting information from documents and converting it to a format readable by computer programs.
Data capture is offered by the Center for Statistical Training and Consulting (CSTAT) and the Clinical and Translational Sciences Institute (CTSI).
Data Capture Features
- Assist in creating a data dictionary or metadata
- Assist with random sampling and/or random assignment processes
- Building integrations with other data services through a standard API
- Complete audit history for all data modifications
- Custom development to enable project-specific functions or workflows
- Data cleaning
- Data entry / data entry via staff or surveys
- Data integration
- Data quality checks including formatting, range checks, and custom rules
- Develop databases, data files, corresponding data entry workflows and data dictionaries
- Developing databases
- Developing surveys
- Multi-arm longitudinal protocol support
- Offline data entry on mobile app
- Perform CSV-based data import
- Project configuration and utilizing the features listed above
- Provide advice, training, and programming assistance for Qualtrics survey instruments
- Provides role-based data entry
- Public instrument library for inclusion within your project
- Reconcile results of dual-data entry processes to reduce data entry errors
- Study eligibility screening, electronic consent, and randomization processes
CENTER FOR STATISTICAL TRAINING AND CONSULTING (CSTAT)
PRE-REQUISITES
- Must be an MSU faculty, research staff or graduate student
CHARGES
- Graduate Students working on their theses/dissertation can receive up to 9 hours of free consulting
- May be subsidized by college- or unit-level sponsorship agreements
- If not covered under a sponsorship agreement, PI may negotiate a bid with CSTAT for statistical support
REQUEST
- Please contact CSTAT at https://cstat.msu.edu to schedule a meeting
- Examples of study design considerations can be found here https://cstat.msu.edu/resources
CLINICAL AND TRANSLATIONAL SCIENCES INSTITUTE (CTSI)
- Planning of study structure including form, events, arms, randomization, and data access
- Provide recommendations for validated instruments and common data elements
- Assist with data integrations with other services to ensure data consistency
- Design custom workflows to support execution of a study protocol
PRE-REQUISITES
- Complete a project meeting and agree to a written Explanation of Services
CHARGES
- The electronic data capture system utilizes a tiered model fee structure. Contact CTSI for more information.
- Data managers available at hourly rate for study configuration.
- Developers available to build data integrations at hourly rate.
REQUEST
