Abstract

Collaboration is ubiquitous in today's science, yet there is limited support for coordinating scientific work. The general-purpose tools that are typically used (e.g., email, shared document editing, social coding sites), have still not replaced in-person meetings, phone calls, and extensive emails needed to coordinate and track collaborative activities. Scientists with diverse knowledge and skills around the globe could collaborate by opening scientific processes that expose all tasks and activities publicly to achieve a shared scientific question. This paper describes the Organic Data Science framework to support scientific collaborations that revolve around complex science questions that require significant coordination, entice contributors to remain engaged for extended periods of time, and enable continuous growth to accommodate new contributors as the work evolves over time. We discuss how the design of this …

Date

August 31, 2015

Authors

Yolanda Gil, Felix Michel, Varun Ratnakar, Matheus Hauder, Christopher Duffy, Hilary Dugan, Paul Hanson

Conference

2015 IEEE 11th International Conference on e-Science

Pages

352-361

Publisher

IEEE