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Course Syllabus
Course Description | Course Objectives | Course Format | Course Assignments and Grading Policy | Course Materials | Contact Information | Help | Ethical Conduct |
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Presents data management techniques needed to implement a health research study in domestic and international settings. Discusses methods of designing and monitoring patient data flow, with an emphasis on data collection, editing, documentation, management, and preparation for analysis using database software packages. Involves lectures and completion of a tutorial designed to build data management skills. Geared to students preparing to undertake research. Upon completion of this course, you will be able to:
The content of this course is divided into separate modules. In each module, you will find lectures and tutorial chapters (homework instructions). You will be emailed the necessary data or Access files to complete the homework. Each week, the lectures listed before the LiveTalk should be reviewed before the Wednesday LiveTalk session. Similarly, the homework listed before the LiveTalk should be begun before the Wednesday LiveTalk session. Lectures The lectures are presented sequentially and should be completed in order. Each lecture combines an audio presentation synchronized with lecture slides. You may return to any previous lecture at any point and review its contents at your convenience. In each lecture, you will find the specific lecture objectives, links to lecture sections, a list of materials associated with the lecture, and lecture handouts. Ideally, the lectures and the week’s tutorial chapters should be listened to or begun, respectively, prior to the Wednesday LiveTalk session. Homework Assignments Because this is primarily a skills course, the bulk of learning will take place when you complete the tutorial assignments. Each assignment is designed to apply the concepts, principles, and methods covered in the lecture sections. The following section describes the types of homework assignments that you will complete in this course:
The due date for each assignment is listed in the course schedule. Because the homework is cumulative, it is essential that you submit each assignment by the due date. You may, of course, submit an assignment before the due date. Upload your homework assignments to the corresponding Dropbox available under the Course Resources link.
Tutorials The course uses a tutorial that takes you step by step through the process of creating a data entry and checking system, cleaning data, preparing data for analysis, and reporting data.Collaboration and Interaction If you have difficulty with a computer exercise, you should review the materials from the lectures and tutorial and try again. If you still have questions, email your questions to Dr. Holt (DM-HW@jhsph.edu) who will check her email each morning (Monday–Friday).
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Most of the course materials will be available via the course’s Online Library or by email. Students are expected to have Word and Access (Microsoft Office software, 1999 version or higher) and either STATA or SPSS. Either Stata or SPSS statistical software will be needed for the last assignment. All other assignments use Access. If you have problems or questions, contact the instructor (DM-HW@jhsph.edu) for assistance.
The academic ethics code, as discussed in the Policy and Procedure Memorandum for Students, March 31, 2002, will be adhered to in this class. If you are a student with a documented disability who requires an academic accommodation, please contact Betty H. Addison in the Office of Career Services and Disability Support: dss@jhsph.edu, 410-955-3034, or Room E-1140. |
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