FORCE2018

Better recognition and reward for a full range of contributions of varying types and intensities are necessary to move science forward. Unfortunately, little infrastructure exists to identify, aggregate, present, and (ultimately) assess the impact of the hundreds of contributions made each day by a diverse research workforce. These significant problems are technical as well as social. Here we will describe approaches to address these issues, including data models to better represent contributor roles and the full array of research outputs, as well as opportunities and challenges related to the cultural aspects of incorporating these tools into traditional academic workflows. Finally, we'll apply these tools to real-life examples described in social media and elsewhere to illustrate the frustrations, the strains on the system, the lack of credit to underrepresented voices in research, and to empower real solutions.