The federal government lacks consistent resources across departments and agencies to support leadership in implementing open data programs.
In recent years, the Chief Data Officer (CDO) has emerged as a key leadership role for open data programs at all levels of government. The state of Colorado hired the nation’s first government Chief Data Officer in 2009, and many federal agencies have since followed that model. Private sector companies are applying the same idea. Harvard Business Review began recommending that companies hire a CDO in 2012.
Despite growing recognition of the CDO’s role, only some federal agencies now have a CDO (or a Chief Data Scientist, a different title that often has similar goals). In August 2016, Project Open Data, the government’s centralized resource, listed only eight CDOs out of the 24 departments and agencies subject to the Chief Financial Officers Act of 1990. Some agencies that have a CDO do not empower him or her to serve as an effective senior advisor. In many of those government agencies, the CDO’s responsibilities orient toward traditional information technology (IT) more than data strategy. Other agencies give the CDO broad responsibilities in principle but do not provide the budget and staff support to help him or her succeed.
Across the federal government, the role, authority, and responsibilities for CDOs are inconsistent. Responsibilities range from taking care of backend software and infrastructure, to resolving technical challenges, to developing the next great digital service. CDOs can and should play a role that complements the Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) within agencies. In general, CTOs focus on innovation and exposing the organization to new ideas, technologies, and people, while CIOs build citizen-focused digital services, move data to the cloud, and protect against cyber threats. A CDO should focus on the quality, collection, management, publication, and use of data assets, including agency-sponsored data (e.g., research data).
Agencies with strong CDOs have successfully leveraged their data to solve complex challenges, engaged their data communities, and adopted a culture of data-driven decision making in their agencies. For example, the CDO at the Consumer Financial Protection Bureau (CFPB) oversees the Bureau’s governance, acquisition, documentation, storage, analysis, and distribution of data, and has focused on centralizing and standardizing data. The CDO at the Department of Transportation made it the first agency to proactively publish its enterprise data inventory, a catalog of all of its datasets, both public and nonpublic, before the government required federal agencies to create and maintain data inventories.
Many agencies will need to balance the goal of making data open with the need to keep some kinds of data highly secure. The U.S. Department of Energy, for example, manages a wide range of data sources: from the datasets of the Energy Information Administration, which releases data of high public value, to data on nuclear weapons that could compromise national security if it were released. In these agencies, the CDO and his or her office will need to have perspective and expertise in both open data and cybersecurity, two areas with extremely different goals.
The White House Office of Science and Technology Policy should invite all agency CDOs to meet periodically to advise each other and coordinate their agencies on such matters as consolidation and modernization of data systems, aligning metadata standards, and internal controls.
Open government data needs centralized, expert leadership at the agency level. A cadre of agency CDOs with well-defined responsibilities, authority, and resources can:
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