Open Data Solutions Power the Smartest Cities
OUR MISSION IS BUILDING YOUR DATA INITIATIVE
"Data as Infrastructure" is how JMH Associates defines its mission. Our team is responsible for turning your vision into a successful, defensible open data program. In essence, managing data as infrastructure means improving links between lakes and oceans of IoT data, silos of databases and data stores; making information/data easier to find online, making it easier for analysts and policy makers to quickly access and transform data into the new formats and knowledge. It means lowering the cost of consuming and using data because we keep having more data to manage.
Manage open government data efforts including coordinating data reuse through APIs, create public data products, repositories, work flows and visualizations
Decrease the cost of managing data and increasing the value of the data available
Improve how the jurisdiction collects, uses, manages, and publishes data
Lead initiative efforts to track data collections, data purchases, databases, physical data models, and linkages between datasets
Improve data quality and how data quality is measured
Ensure data is available, reliable, consistent, accessible, secure, and timely to support the mission and activities of the jurisdiction
Align and standardize data models
Set up jurisdictional data-working groups
Create a project management methodology
Set up ongoing training and accreditation of staff and data sets according to the principles and standards of The Open Data Institute.
Provide ongoing support as the auxiliary open data team for the jurisdiction, ensuring institutional memory and sustainability.
The collection and need for data continues to grow exponentially in jurisdictions. Increasingly, data itself–outside of application–has values supporting jurisdictional mission and activities. Open data has even more value if it is readily available, easily found, and easily reusable for new applications.
Our role is part data strategist and adviser, part steward for improving data quality, part evangelist for data sharing, part technologist, and part developer of new data products.