Our goals are to compare and contrast examples of workflow efforts in the context of team science that have been heavily funded by governments (i.e., infectious disease genomics) with efforts that have been supported more by enthusiastic individual scientists (i.e., paleontology). We present lessons learned from these examples in terms of interoperability, agility, data sharing, metrics for scientific impact, and openness. In conclusion, we make suggestions for progress in synergistic sharing to enable team science.
|Title of host publication||Computation for Humanity: Information Technology to Advance Society|
|Editors||Justyna Zander, Pieter J. Mosterman|
|Number of pages||11|
|Publication status||Published - 29 Nov 2013|