Information on research instruments can be notoriously difficult to find. Have you ever searched for a well-known research questionnaire only to have difficulty finding out how you can obtain copies? Or had trouble finding out whether a research instrument has been validated or find references for the validating studies? If so, you may want to check out a new database available from Levy Library, PROQOLID.
PROQOLID contains validation, licensing, and translation information on nearly 1,000 research instruments such as the Diabetes Quality of Life (DQoL) measure, Amsterdam IADL Questionnaire©, Philadelphia Geriatric Center Morale Scale and many others. Using this database you can:
• Discover an appropriate research instrument for your study
• Find out how to license copies of the tool, whether translations into other languages are available, and whether Conditions of Use apply
• Find references to validating studies
In order to access Levy Library’s subscription, please email us at RefDesk@mssm.edu and request the username and password to access PROQOLID.
Come learn how to advance your research projects with hands-on exercises. The following topics will be covered:
Search & Pathway Building – Gene/ Chemical, Functions, Drug Targets
• Advanced Search: Limiting results to a molecule type, family or disease-association.
• Building pathways: Creating a pathway, pathway navigating, Using Build and Overlay tools
Dataset Analysis: Interpretation of Gene, Transcript, Protein and Metabolite Data
• Data Upload and Analysis: Uploading and formatting a dataset, setting analysis parameters and running an analysis
• Pathway Analysis and Canonical Pathways
• Downstream Effects Analysis and Interpreting the Heat Map
• Upstream regulators Analysis
• Regulator Effects Analysis
• Network Analysis: Interpreting networks and viewing your data in the context of cellular molecular networks
• Comparison analysis and Comparing multiple observations
When: Tuesday, April 7th, 2015, 1:30 PM – 4:30 PM
Where: Large Classroom, Levy Library
Speaker: Shawn M. Prince, Senior Field Application
Scientist, QIAGEN Bioinformatics