Cheryl Morris is the Program Coordinator for Science Synthesis, Analysis and Research (SSAR) and serves as the USGS Associate Chief Data Officer (ACDO).
As the ACDO/SSAR Program Coordinator, Cheryl is responsible for lifecycle data management of a portfolio of USGS data assets and contribution to the development of an enterprise-wide data strategy. The ACDO collaborates with USGS leadership, managers, and the Department of the Interior to collect, integrate, maintain, disseminate, and preserve data to carry out the mission and responsibilities of USGS and DOI efficiently and cost-effectively. The SSAR Program Coordinator provides leadership to advance data science, big data, high performance computing, library information and scientific collections, biogeographic and biodiversity data, data standards, and open science.
Over the last ten years, Cheryl has led the SSAR Program in the development of an enterprise Advanced Research Computing capability; the creation of tools and strategies for improving USGS data management, including, Sciencebase, the USGS Science Data Catalog, USGS Data Management Policies and Tools, and the Community for Data Integration; delivering national biogeographic data and tools such as the Protected Areas Database of the US and the Integrated Taxonomic Information System; and oversight of the USGS Library.
While earning her Engineering degree from Purdue University, Cheryl was an engineering intern for the US Navy in Indianapolis. After graduation, she continued working for the Navy in Southern California as a network engineer. This experience brought her to Denver and the US Fish and Wildlife Service where she held progressively responsible leadership positions in enterprise information technology and data management. In 2003, Cheryl joined the USGS as the Central Region Geospatial Information Officer and has since held a variety of leadership roles. Most recently, Cheryl was the SSAR Program Coordinator leading USGS enterprise science data management, high performance computing, national biogeographic data and analysis, and the USGS Library.