Data management is a process that includes collecting, processing, storing, and accessing data to ensure accessibility, completeness, correctness, and integrity during the scientific life cycle.
Data management is offered by the Center for Statistical Training and Consulting (CSTAT), the Clinical and Translational Sciences Institute (CTSI), ITS Analytics & Data Solutions, and MSU Libraries.
Data Management Features
- Assist in developing a data management plan
- Assist in developing a database or data collection instruments
- Provide data storage solutions, including Data Warehouse, NoSQL databases, binary file storage
- Provide custom methods for accessing data
- Provide data quality checks or assist in developing workflows for such
- Assist in creating meta data and reporting on content or features
- Provide data queries, merging of data, and preparation of data for analysis
- Collaborate on contracts and grants
CENTER FOR STATISTICAL TRAINING AND CONSULTING (CSTAT)
FEATURES
- Assist in developing a data management plan, developing database, data dictionary and metadata, or data collection instruments
- Data quality checks, data cleaning, examining data properties, and reporting to inform researchers and augment metadata
- Preparing data for analysis
- Staffing a research team with a data manager, statistician, and/or research assistant
PRE-REQUISITES
- MSU faculty or research staff
CHARGES
- Projects may be subsidized by college or unit-level sponsorship agreements
- Hourly and FTE percentage rates may be available depending on scope of project
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)
FEATURES
- Role based access to data entry and extraction including de-identified data exports
- Metadata can be exported and copied for easy transfer or duplication of projects
- Email/SMS/Phone notifications when data entered satisfy a logical statement
- Electronic consent for human subjects research
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 or percent effort if greater than 100 hours.
REQUEST
ITS ANALYTICS & DATA SOLUTIONS
FEATURES
- Enterprise Data Warehouse (managed relational/SQL database)
- Long term data storage/archive
- Data Engineering
PRE-REQUISITES
- MSU affiliation
- User must have data
- User must have established research plan
CHARGES
- Depends on complexity of data model, volume of data, etc.
REQUEST
MSU LIBRARIES
FEATURES
- Consultations on research data management workflows and the development of funder-required data management plans
- Research data lifecycle advising and referral to campus partners for phases in lifecycle
PRE-REQUISITES
- MSU faculty, staff, student, or affiliated user for most services
- Some training for both campus and the public
CHARGES
- No cost
REQUEST
- Contact researchdata@lib.msu.edu
