The Detroit Data Collaborative seeks to address the need for consistent, accessible data to inform local analysis and decisions while increasing capacity of data professionals in the Detroit. Responding directly to local trends of data-driven decision making and national trends of open data, the Collaborative provides a space to house and access data from a variety of primary sources such as the City of Detroit Departments, State of Michigan Departments, non-profits, and Federal Agencies. It is also an opportunity for local professionals to support each other by sharing resources and expertise. Departments within the City of Detroit are essential to this Collaborative and its support of open-data systems and data-driven decision making. Data consistency across users throughout Detroit (City Departments, nonprofits, and community groups) is essential for confidence and integrity in the decision making process.
The current system of administrative public data sharing within City Departments and with external groups is not streamlined or reliable. Each Department releases data differently and expends staff time on individual data requests, resulting in inconsistent distribution of data and inefficient use of staff time. This is a hindrance to the data-driven decision making being called for throughout the City.
The goal of the Detroit Data Collaborative is to increase data collaboration between City Departments, improve consistent data sharing with the public, and elevate skills of data professionals in the city. To achieve these goals, the collaborative has been structured as a hybrid allowing for a user group and data sharing/standards.
GOALS: Increase data collaboration between City Departments, improve consistent data sharing with the public, and elevate skills of data professionals in the City.
• Establish joint data collaborative and data-user group
• Catalog and create metadata of datasets
• Implement data standardization across Departments
• Create a single, go-to entity for datasets in the City
• Conduct quarterly meetings for data updates and training