The goal of the Data Science Core (DSC) is to integrate bioinformatics, statistics, and data science resources across UNH, and the state of New Hampshire through our NH-INBRE partners to build capacity in Data Science by providing access to the expertise, infrastructure, and training necessary for modern research. The DSC is a Service Center with mechanisms for both collaborative and fee-for-service models and will work with investigators to find a solution that fits their needs and budget.
Services include:
>> Consultation for proposal development, experimental design, and creation of Data Management Plans
>> Direct support services in statistical analysis and bioinformatic analysis
Other questions? Contact Kelley Thomas
Web Resources
A web based tutorial on Basic Research Concepts developed with funding provided by the US Dept. of Health and Human Services, Office of Research Integrity (ORI) that is targeted individuals new to research. The materials presented are intended to provide basic information about research and how it’s conducted. With this framework, those new to research (staff, students) may be better able to understand research and carry out their duties/responsibilities in a manner that preserves the integrity of the data collected.
Topics include:
- What is Research?
- Research Design
- Elements of Research
- Methods of Information Collection
- Handling Information
- Glossary of Terms
- Links to Additional Resources
A report from the Institute of Educational Sciences/US ED and the National Science Foundation wihch provides:
- Guidance on building the evidence base in STEM learning
- Provides guidelines for six types of education “research†projects
- Overview of the nature, justification, evidence generation and so on for each project type
A Supplement to the Common Guidelines for Education Research and Development (November, 2018)
Clinical research tools that facilitate trial design, patient recruitment and partnerships for commercialization National Center for Advancing Translational Sciences (NCATS).
Provides investigators with research methods resources to help them design their studies using the best available methods.
The material is relevant to both randomized and non-randomized trials, human and animal studies, and basic and applied research.
Logic Models
Example formats compiled by RLCD staff
This report is a companion piece for the W.K. Kellogg Foundation Logic Model Development Guide
Resource from U.S. Dept. of Education/ Institute of Education Sciences/ Regional Educational Laboratory Program designed to help practitioners learn the purpose of logic models, the different elements of a logic model, and the appropriate steps for developing and using a logic model for program evaluation.
