Discussion on Equitable Data Participation and Transparency with the Office of Science and Technology Policy
In a recent filing to the Office of Science and Technology Policy (OSTP), the Center for Data Innovation has put forth a series of recommendations aimed at improving equitable data practices within federal agencies. The center's focus is on closing the "data divide" to enhance the effectiveness of data-driven services and decision making.
The filing emphasizes the importance of equitable data practices, particularly in areas such as partnerships, data literacy, and closing the "data divide." However, a review of available search results does not directly reference the Center for Data Innovation's specific recommendations to the OSTP. Instead, the results primarily focus on the broader context of the U.S. federal government's AI policy.
The federal AI Action Plan, for instance, calls for coordination across multiple federal councils, including the Chief Data Officer Council and the Chief Information Officer Council, to foster collaboration on AI adoption and data governance. The plan also proposes initiatives around improving access to high-quality, AI-ready datasets and encourages public-private partnerships that could facilitate data sharing and collaboration across sectors.
Despite the absence of direct references, the Center for Data Innovation's filing includes three main recommendations:
- OSTP should support partnerships that bolster access to high-performance computing for historically underrepresented groups in the field.
- OSTP should promote robust data literacy curriculums in U.S. schools.
- OSTP should prioritize closing the "data divide" to improve the effectiveness of data-driven services and decision making.
The filing suggests that improving data literacy and access to high-performance computing can help bridge the "data divide" and promote fair and effective decision making. It encourages the OSTP to take immediate action to implement these recommendations.
The filing is available for public review and comment, providing an opportunity for stakeholders to engage with the Center for Data Innovation's recommendations and contribute to the ongoing conversation about equitable data practices in federal agencies.
- The Center for Data Innovation's recommendations to the Office of Science and Technology Policy (OSTP) emphasize the importance of data literacy education and equitable access to high-performance computing, as these factors can help bridge the "data divide" and promote fair and effective decision making in data-driven services.
- The Center for Data Innovation's filing proposes that the OSTP should prioritize closing the "data divide" by supporting partnerships that increase access to high-performance computing for historically underrepresented groups, as well as by promoting robust data literacy curriculums in U.S. schools.
- To foster innovation and ensure the effectiveness of data-driven services and decision making, the Center for Data Innovation urges the OSTP to prioritize closing the "data divide" and encourage the adoption of artificial intelligence (AI) technologies that rely on high-quality data.
