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Information Technology Services

Strategic Plan | Research

goals, objectives, action items

GOAL I Provide services and technologies that support the University’s research community.
  1. Work with the Office of the Provost and the Vice Provost for Research to investigate and implement required resources and capabilities to support emerging scientific and data needs.
  • Expand Research Services tutorials to include more offerings in statistics, qualitative methods, Geographic Information Systems (GIS), and other topics.
  • Provide statistical support for grants.
  • Provide statistical programming support to assist in processing and analyzing grant data, to provide in-depth training in tools such as SAS, R, and Stata, and to assist with big data initiatives.
  • Provide GIS support for the Humanities and Social Work.
  • Support University initiatives on big data and serve an active role as Boston College works to advance its integrated sciences programs.
  1. Facilitate the business processes of grant and purchase management.
  • Assist the Office of Sponsored Programs by providing the required applications for grant management from pre-award through post-award. This support includes the selection, purchase, and implementation of supporting software.


GOAL II Create and support resources for research computing that foster community among researchers and provide a vehicle to deliver shared computing resources and services in a manner that is easily accessed by faculty research groups.
  1. Continue to enhance high-performance computational resources to support the evolving requirements of the research community.
  • Perform quarterly usage analysis for the purpose of executing annual upgrades in performance and capacity of the Research Computing cluster.
  1. Continue to provide and develop a staff of research computing professionals to support and assist researchers.
  • Continue to increase our capabilities in scientific computing technologies, including parallel computing, and software tools such as MATLAB and research methods such as Network Analysis, Multi‐level Modeling, Mixed Methods, and Biostatistics.