Rationale – The mammalian gastrointestinal (GI) tract contains hundreds of distinct species of commensal microbes under normal conditions, referred to as the ‘microbiota’.  Recently, it has been appreciated that the microbiota exists in a mutualistic relationship with the host immune system.

Rational:

CTSI’s Consultation Services Data Management Unit (DMU) is just one of the successful research resources available on campus to help UCSF faculty and staff with his/her research.  Along with many other data management services, the DMU also provides consultation in data processing to help transform research data into a statistically analyzable format.  In our efforts to provide consultation to the UCSF research community, we have realized that some trainees and faculty do not have the programming skills or resources to perform data processing tasks that are necessary to keep their research moving forward.  Complicated data merges and transformations require specific programming expertise to ensure that it is performed correctly.  Data management programmers, who can devote more time and effort to small projects, are needed.  The DMU’s ability to provide these services is very limited.  As a result, we have identified a gap in services that the Data Management Unit is currently able to provide.

The Challenging Path from Bench to Bedside

Rationale:  Inaccurate sample size estimation leads to research studies that enroll too few or too many study participants. The former can result in failure to demonstrate anticipated effects and the latter to excessive costs, due to overuse of research participants and personnel time. While there are several important components of a good sample size calculation – including a compelling research question, an appropriate outcome variable, and an efficient study design – here we focus on improving the accuracy of the quantitative inputs.