{"id":586,"date":"2019-07-24T17:11:04","date_gmt":"2019-07-24T17:11:04","guid":{"rendered":"http:\/\/phs.uthscsa.edu\/?page_id=586"},"modified":"2019-09-10T19:35:16","modified_gmt":"2019-09-10T19:35:16","slug":"research-information-systems","status":"publish","type":"page","link":"https:\/\/lsom.uthscsa.edu\/phs\/our-expertise\/research-information-systems\/","title":{"rendered":"Research Information Systems"},"content":{"rendered":"

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Who we are and what we do<\/h2>\n

Information Systems (IS) in the Department of Population Health Sciences (PHS) provides a full spectrum of analytical, programming, database, administration, project management, and security experience and skills to build, deliver, support, and maintain sophisticated data management capabilities critical to our University’s research mission. In doing so, we provide the following services:<\/p>\n

Research Data Management Systems<\/h2>\n

With the increasingly data-intense and computationally demanding nature of research, investigators are continually challenged to meet their data service needs without compromising the quality, control, and management of their research information. In order to meet these needs, the IS group offers two primary options.<\/p>\n

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  1. Informatics Data Exchange and Acquisition System (IDEAS): IDEAS is a sophisticated operational architecture providing a robust and primarily web-based research data and knowledge management framework. It functions as an information broker facilitating data collection, analysis, exchange, and reporting to meet the specific needs of collaborative, translational, and decentralized research operations and is designed to integrate disparate data from multiple sources, collection points, and facilities to provide researchers with a coherent information palette. It provides a single mechanism for investigators to run multiple, simultaneous, and integrated multi-center studies and trials. Using a framework rather than a system approach, IDEAS is easily configured to individual applications, accommodating a multitude of research and work domains<\/li>\n
  2. Research Electronic Data Capture (REDCap): Developed at Vanderbilt University, REDCap provides a very clean and functional data capture environment suitable to a number of project types. We provide two REDCap options:<\/li>\n<\/ol>\n