Data Management

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 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

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

  • Usage fee of ~$1400 annually
  • 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