Use of e-tools for Managing Statistical and Data Request for Large Epidemiological Studies: Lessons Learned from the Jackson Heart Study

Background: Advancement of technology and far-reaching access to the internet has created a quantum leap in the use of e-tools (electronic tools) in various disciplines. Researchers seek and access scientific peer and non-peer reviewed information using e-tools. Research support that the use of database driven web-based applications create efficient and cost-effective research support services, primarily in the access and management of dynamic information. Hence, the primary objective of this presentation is to share the lessons learned from the use of e-tools in Data Management of the Jackson Heart Study (JHS) Coordinating Center. JHS is the largest single-site observational cohort study designed to assess the etiology and progression of CVD in African Americans. Methods: Microsoft ASP.net is a Web-based application framework that allows the application's developer to build a Web application with three key functions: Model – database driven feature, Controller – allows upgrades and interaction with the Model feature, and View – displays information from the Controller feature to the end-user. The suite of e-tools was developed to manage Data and Statistical Computing Requests and Scientific Productivity. Results: The JHS suite of e-tools has enhanced the management of the provision of statistical data management and research support for Scientific Productivity in the areas of publications and presentations and ancillary studies. Also, the suite of e-tools has significantly reduced the person-hours dedicated to these functions and previous complaints by external investigators. Discussion: These tools have proven to be effective and efficient for semi-automation of managing and tracking of these key scientific functions.