In this age of accountability, transparency, and accreditation, colleges and universities increasingly conduct comparative analyses and engage in benchmarking activities. Meant to inform institutional planning and decision making, comparative analyses and benchmarking are employed to let stakeholders know how an institution stacks up against its…

Organizations, programs, and other resources for data sharing in higher education are listed and described, with addresses provided. They include existing data-exchange programs and consortia, survey programs and databases, and a list of papers presented at the 35th Forum of the Association for Institutional Research. (MSE)

Before joining a data-sharing consortium, colleges and universities must address issues regarding goals and expectations, including why comparative data are needed, information types needed, needed comparisons, selection of institutions for comparison, data accessibility, time requirements, costs, and need for technical expertise. (MSE)

A set of general policies or ground rules is desirable for colleges and universities planning to participate in both basic and more complex data exchanges with other institutions. Participation in data exchange is enhanced by well-defined and comparable institutional memberships, clear organizational objectives and data, high-quality and timely…