Services

Biostatistics Sub-Core

1. Support the statistical needs of DRTC investigators conducting diabetes research
2. Promote continual learning of research methodology through preceptorial consultations, interest group meetings, journal clubs, seminars, and online Web tools and publications..
3. Organize and participate in multidisciplinary working/interest groups to advance diabetes related diabetes research methods to overcome analytic challenges.
4. Serve as a bridge connecting DRTC investigators to other biostatistical resources available at Johns Hopkins and the University of Maryland.
5. Support systematic reviews, literature synthesis, and meta-analysis.

Data Management & Analysis Sub-Core

1. Archive, maintain, and update administrative, epidemiologic, and clinical databases
2. Support design and implementation of data collection instruments, data entry procedures, and database management.
3. Facilitate and/or perform analyses on epidemiolgoic and administrative data.

Cognition & Behavior Sub-Core

1. Archive of neurocognitive and behavioral tests.
2. Traning and supervision of test administration, scoring, and interpretation.
3. Development and validation of novel instruments.
4. Behavioral measurement techniques.
5. Consultation on development and validation of behavioral and educational interventions.
6. Consultation on qualitative research methods.
7. Conceptual model development and testing.

Recruitment & Retention Sub-Core

1. Archive of recruitment sources.
2. Consultation on methods for recruitment and retention.
3. Consultation on hiring and raining of non-professional research personnel.

Informatics Sub-Core

1. Support informatics needs of DRTC investigators conducting diabetes research.
2. Promote continual learning of modern Health Information Technologies through consultations, interest group meetings, and online Web services.
3. Serve as a bridge connecting DRTC investigators to other Health Informatics resources available at Johns Hopkins and the University of Maryland.
4. Development and evaluation of various technology-driven clinical interventions to support evidence-based diabetes care.
5. Use of novel telecommunication and computer technologies for diabetes self-care applications including cell phone-, PDA- and web-based tools for disease prevention and care management.
6. Support development of diabetes telemedicine and e-Health applications including interactive multimedia health education and counseling.
7. Implementation of predictive modeling using methods of machine learning and data warehousing.
8. Provide structured environment for informatics evaluation projects and advising faculty on use of appropriate study designs to carry out evaluation of various informatics components.
9. Implementation of computerized data collection tools and registries utilizing mobile and web-based technologies.