Abstract—Renewable energy helps in solving twin problems namely fast depletion of energy sources and climate change. In this paper the results of a statistically sound research with minimum possible white noise have been stated. The data collection scheme was designed by keeping biogas use in the core and getting all the possible information about a typical middleclass Nepalese family inhabiting in rural areas, its economic and social background and change after biogas was used in their household. All sources of error right from the data collection, its digitization and finally its analysis were identified and eliminated. In the stage of questionnaire design all the possible answers to a question were foreseen and given as one of the categories. Pretesting of the questionnaire was also conducted on 30 household. A consumer profile database of biogas consumers is constructed. Then the information collected is stored in an electronic database. An online questionnaire is constructed to store all the information in this database. The digitization of the data and then its statistical analysis can similarly be done for other sources of renewable energy. Statistical analysis is then done for the analysis of impact of renewable energy in extenuating climate change.
Index Terms—Climate change, database, renewable energy, statistical analysis.
Authors are with Kathmandu University, Nepal (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Jyoti U. Devkota, Binu Hada, Chanda Prajapati, and Swechya Singh, "The Importance of Research Data Digitization and Its Statistical Analysis-With Examples of Biogas Consumers of Nepal," International Journal of Environmental Science and Development vol. 3, no. 2, pp. 103-108, 2012.