The National Academies Roundtable on Aligning Incentives for Open Science, established in 2019, has taken on an important role in addressing issues with open science. The roundtable convenes critical stakeholders to discuss the effectiveness of current incentives for adopting open science practices, current barriers of all types, and ways to move forward in order to align reward structures and institutional values. The Roundtable convened a virtual public workshop on fostering open science practices on November 5, 2020. The broad goal of the workshop was to identify paths to growing the nascent coalition of stakeholders committed to reenvisioning credit/reward systems (e.g., academic hiring, tenure and promotion, and grants)to fully incentivize open science practices. The workshop explored the information and resource needs of researchers, research institutions, government agencies, philanthropies, professional societies, and other stakeholders interested in further supporting and implementing open science practices. This publication summarizes the presentations and discussion of the workshop. Table of Contents Front Matter 1 Introduction 2 Adopting and Utilizing a Toolkit for Open Science: Stakeholder Perspectives 3 Roundtable Priorities for Advancing Open Science References Appendix A: Workshop Agenda Appendix B: Biographies of Speakers and Moderators Appendix C: Toolkit Elements

Steps Toward Large-Scale Data Integration in the Sciences summarizes a National Research Council (NRC) workshop to identify some of the major challenges that hinder large-scale data integration in the sciences and some of the technologies that could lead to solutions. The workshop was held August 19-20, 2009, in Washington, D.C. The workshop examined a collection of scientific research domains, with application experts explaining the issues in their disciplines and current best practices. This approach allowed the participants to gain insights about both commonalities and differences in the data integration challenges facing the various communities. In addition to hearing from research domain experts, the workshop also featured experts working on the cutting edge of techniques for handling data integration problems. This provided participants with insights on the current state of the art. The goals were to identify areas in which the emerging needs of research communities are not being addressed and to point to opportunities for addressing these needs through closer engagement between the affected communities and cutting-edge computer science. Table of Contents Front Matter 1 Introduction 2 The Current State of Data Integration in Science 3 Improving Current Capabilities for Data Integration in Science 4 Success in Data Integration 5 Workshop Lessons References Appendixes Appendix A: Workshop Agenda Appendix B: Workshop Participants