Looking into the Health and Longevity of Scholars in Mathematics, Physics and Chemistry: The Case of China
Description
This paper only provides the raw data of scholars in the three disciplines extracted from the official websites of 147 double first-class universities in China, which are available for life span analysis as well as to provide opinions and references for the general public to maintain their own health. The data involved in the questionnaire analysis are obtained from 210 individuals, which can be used to probe the public’s concern for health.
Files
Steps to reproduce
Collection method: The data of the scholars are collected by the following methods. First, the names of those scholars who had taught (or studied) in the colleges are searched for in the college profiles by entering the official websites of the colleges of mathematical sciences, physics, and chemistry and chemical engineering of the double first-class universities, and then the information of these scholars is retrieved and collected via the search portal of the official websites of the universities (if no information about a scholar is available in the official websites, some documents with their biographies will be resorted to.) The information collected includes the scholar's year of birth, year of death, age (calculated using Excel), ancestry or place of birth, honors (academician or non-academic), reason for death, and the institution served (if the scholar has served more than one institution, the institution witnessing the longest service should be recorded). The year of each mathematics scholar's major contribution is also collected. Ultimately, the data set gathered information on 177 mathematicians, 153 physicists, and 190 chemists. The questionnaire data are collected by the following method. First, 20 questions were administered in the questionnaire, which included questions about whether health should be a concern for society and whether people have good, healthy habits. The questionnaire was distributed to the general public in the form of a 5-point Likert scale, and a total of 210 questionnaires were collected. Data quality: Possible errors in the scholar data set arise from misinformation about the scholars on the universities’ official websites. Possible errors in the questionnaire data stem from the respondents’ misinterpretation of the questions. The data set was revised by multiple proofreading and duplicate data were eliminated and reusable.