Efficiency Comparison of Data Management Program for Survey Research

Abstract

Background: Manual data entry was the most popular data management in the past. It is usually performed by two individuals entering the data separately. The two entries will then be compared. If there are unmatched transactions, the inspector will check the original records and make corrections. This procedure, however, is cumbersome and time - consuming while errors still cannot be totally avoided. Nowadays, many software applications have been developed to improve research data management with various tools to help create more accurate and efficient results.

Objective: To study and compare the features of 4 software tools designed for data management in survey research: (1) SurveyCan (2) SurveyMonkey (3) Google Docs (4) Online Medical Research Tools (OMERET)

Methods: This Study to Compare 4 Software (For Created Questionnaire) By Collect data from investigators using survey software from the year 2010-2015.

Results: SurveyCan and SurveyMonkey were less convenient due to the in ability to export data to statistical software without upgrading with a fee. Google Docs can export but is relatively difficult to use because results can only be exported as text. For OMERET, data need to be entered on Questionnaire papers before being scanned into the software and when Data into the Software can Export to another Statistical for Calculate have not fee.

Conclusions: Survey data management software in this study have different pros and cons. Researchers should take this information into account when designing a survey study.