Opening New Pathways to Discovery and Innovation in

Opening New Pathways to Discovery and Innovation in Science and Engineering A Study Organized by TMS on Behalf of the U. S. National Science Foundation Available for free download at www. tms. org/MDIstudy

Key Outcomes • Detailed Definition of Materials Data Infrastructure (MDI) • Guidance and Lessons Learned from Other Disciplines • 36 Challenges Organized by Probability for Success and Impact • 8 Recommendations with 22 Detailed Tactics • Summary of 17 Prior Workshops & Reports

Materials Data Infrastructure (MDI) Definition Consists of 3 core digital components: Repositories: Hardware, software, standards and protocols needed to store and make materials data available Tools: Software that enables data handling, service, and analysis; bring value to a dataset by performing tasks such as pattern identification and other analyses e-Collaboration Platforms: Mechanism for a team, laboratory, or community to actively work together with shared datasets . . . As well as technology, policies, incentives, standards, people, and activities necessary to plan, acquire, process, analyze, store, share, reuse and dispose of data

Challenges and Recommendations • 36 challenges identified • Technical, cultural, and policy issues • Organized by potential for success and potential impact if overcome (position is relative, NOT absolute) • 8 Recommendation Themes • Example theme: “Recommendation 3: Create, execute, and monitor incentive mechanisms” • 22 Detailed Recommendation Tactics • • Timeframe for completion Level of funding required to carry out tasks Personnel who will implement tasks Other details and suggestions for next steps Report available for free download at www. tms. org/MDIstudy