| Vision: To enable transformational open science through continuous evolution of science data and computing systems for NASA’s Science Mission Directorate. |
| Mission: Lead an innovative and sustainable program supporting NASA’s unique science missions with academic, international and commercial partners to enable groundbreaking discoveries with open science data. Continually evolve systems to ensure they are usable and support the latest analysis techniques while protecting scientific integrity. |
| Goal 1: Develop and Implement Capabilities to Enable Open Science | Goal 2: Continuous Evolution of Data and Computing Systems | Goal 3: Harness the Community and Strategic Partnerships for Innovation |
| Strategy 1.1:Develop and implement a consistent open data and software policy. | Strategy 2.1:Establish standardized approaches for all new missions and sponsored research that encourage the adoption of advanced techniques. | Strategy 3.1:Develop common metadata standards for all NASA science data. |
| Strategy 1.2:Upgrade capabilities at existing archives to support machine readable data access using open formats and data services. | Strategy 2.2:Integrate investment decisions in High-End Computing with the strategic needs of the research communities using this capability. | Strategy 3.2:Utilize the full capacity of advances in High End Computing to achieve SMD’s research goal. |
| Strategy 1.3:Develop and implement a SMD data catalog to support discovery and access to complex scientific data across Divisions. | Strategy 2.3:Invest in capabilities to use commercial cloud environments for open science to make data accessible by diverse set of academic and commercial users. | Strategy 3.3:Promote opportunities for continuous learning as the field evolves through collaboration. |
| Strategy 1.4:Increase transparency into how science data are being used through a free and open unified journal server. | Strategy 2.4:Provide tools and training to scientists to be better able to collaborate with all types of computational and computer scientists, including Artificial Intelligence and Machine Learning (AI/ML). | |