iPToL_WG

Collaborative implementation was organized into working groups with focused development goals. Each group has an iPToL superuser or faculty member designated as the lead and point of contact. The four main working groups are: Big Trees (Alexis Stamatakis), Data Assembly (Doug Soltis, Pam Soltis, Michael Donoghue), Tree Reconciliation (Todd Vision), and Trait Evolution (Brain O'Meara). Two crosscutting working groups to develop shared data and compute infrastructure are Data Integration (Val Tannen) and Visualization (Karen Cranston).

Figure 2. An overview of interactions amongst iPToL working groups. The two post-tree analysis groups, shown in blue, will facilitate analysis via the discovery environment that consumes both the big tree data as well as data from other sources. The foundational data groups, shown in black, generate or obtain data from a variety of sources. The cross-cutting groups are data integration (red) and visualization (green). The work of the post-tree analysis and data generating groups are all impacted by data integration, both as they feed into the discovery environment and as data and analysis results are shared and exported from the discovery environment. The work products of both the post-tree and the data-generating working groups are ultimately impacted by the visualization group, which will be guiding the development of data display tools.