Research Article
Year 2023,
Volume: 13 Issue: 1, 1 - 7, 05.06.2023
Abstract
Resmi istatistik, finans, eğitim ve çeşitli diğer alanlar için açık veri kümeleri mevcuttur. Açık veri kümeleri, resmi makamların yanı sıra üçüncü taraflar tarafından yayınlanmaktadır. Örneğin, Türkiye Yükseköğretim Kurumu, Türkiye’deki yükseköğretime yönelik bir web portalı sunmaktadır. Portaldan üniversiteler, fakülteler ve bölümler hakkında detaylı veri setleri elde edilebilmektedir. Portal tarafından sağlanan veriler kullanılarak, yükseköğretimin ekonomi üzerindeki etkisinin anlaşılması, öğrencilerin yükseköğretim açısından zaman içindeki tercihlerindeki değişikliklerin incelenmesi gibi detaylı analizlerin yapılabilmesi mümkündür. Bu portal, birçok önemli bilgil içermesine rağmen, herhangi bir Uygulama Programlama Arayüzü (API) veya verileri tek bir yerden kolayca indirmek veya sorgulamak için herhangi bir seçenek sunmamaktadır. Mevcut makale, yükseköğretim istatistiklerini kolayca erişilebilir kılmak için tasarlanmış kullanıcı dostu bir R veri paketini tanıtmaktadır. Bu paket araştırmacılara, hali hazırda portaldan kazınmış olan verileri sorgulayabilme ve bazı basit analizler yapabilme olanağı sunmaktadır. Paket ile araştırmacıların yükseköğretim istatistiklerine kolayca erişebilmesine katkı sunulması hedeflenmektedir.
References
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- Ergen, H., & Cakioglu, V. (2018). The expansion of higher education in Turkey (1980–2016): some economic implications. Journal of Higher Education, 8, 207-233.
- Ferrao, M., & Almeida, L. (2019). Differential effect of university entrance score on first-year students’ academic performance in Portugal. Assessment & Evaluation in Higher Education, 44, 610--622.
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Year 2023,
Volume: 13 Issue: 1, 1 - 7, 05.06.2023
Abstract
There are open datasets available for official statistics, finance, education, and a variety of other domains. The open datasets are published by third-party vendors as well as official authorities. For example, The Turkish Higher Education Council maintains a web portal dedicated to higher education in Türkiye. Detailed datasets about universities, faculties, and departments can be obtained from the portal. Using the data provided by the portal, detailed analysis can be done such as the understanding impact of higher education on activities in the economy connected to movements of the students within or between cities. Especially such activity can be observed in real estate since students rent flats or rooms. Moreover, this data helps researchers analyze changes in students’ preferences in terms of higher education over time. Although this site contains a variety of important information, it does not provide any Application Programming Interfaces (API) or any other possibilities to easily download or query the data in one place. This paper introduces thestats, a user-friendly R data package designed to make higher education statistics easily accessible. Researchers can use the package to query data, which is already scraped from the portal, using the R functions provided by the package. Thanks to the package, researchers do not need to perform any further effort to delve into Turkish higher education statistics. It is sufficient for the researchers to use the package to begin exploring.
References
- Abbott, S. (2019). getTBinR: an R package for accessing and summarising the World Health Organisation Tuberculosis data. Journal of Open Source Software, 4, 1260-1262.
- Apaydin, C. (2020). Changes in the transition of the Turkish youth from undergraduate and graduate education to work over the years. Journal of Higher Education, 10(2), 219-232.
- Boettiger, C., Chamberlain, S., & Hart, K. (2015). Building Software, Building Community: Lessons from the rOpenSci Project. Journal Of Open Research Software, 1, 299-314.
- Erdoğan, A. (2014). Türkiye'de Yükseköğretimin Gündemi için Politika Önerisi. Yükseköğretim ve Bilim Dergisi, 1 – 17.
- Ergen, H., & Cakioglu, V. (2018). The expansion of higher education in Turkey (1980–2016): some economic implications. Journal of Higher Education, 8, 207-233.
- Ferrao, M., & Almeida, L. (2019). Differential effect of university entrance score on first-year students’ academic performance in Portugal. Assessment & Evaluation in Higher Education, 44, 610--622.
- Freire, D., & McDonnell, R.M. (2021). prisonbrief: An R package that returns tidy data from the World Prison Brief website. Journal of Open Source Software, 3, 361-362.
- Glogowski, K., Bobra, M.G., Choudhary, N., Amezcua, A.B., & Mumford, S.J. (2019). drms: A Python package for accessing HMI and AIA data. Journal of Open Source Software, 4, 1614-1614.
- Günay, D., & Özer, M. (2016). Türkiye'de Meslek Yüksekokullarının 2000'li Yıllardaki Gelişimi ve Mevcut Zorluklar. Yükseköğretim Ve Bilim Dergisi, 6, 1 – 12.
- Heiskala, L., & Erola, J., & Jakonen, E.K. (2021). Compensatory and multiplicative advantages: social origin, school performance, and stratified higher education enrolment in Finland. European Sociological Review, 37, 171-185.
- Karsli, T.A., & Anlı, I. (2010). Relationship among introvertism - extrovertism, narcissistic developmental line, locus of control and level of trait and state anxiety in a Turkish adolescent population preparing for university enterance exam. In Proc. Social and Behavioral Sciences Conf., 787-791.
- Koontz, A., Brandt, B., Dyreson, C., & Pearse, W.D. (2019). SymbiotaR2: An R package for accessing Symbiota2 data. Journal of Open Source Software, 5, 2917-2917.
- Lahti, L., Huovari, J., Kainu, M., & Biecek, P. (2017). Retrieval and Analysis of Eurostat Open Data with the eurostat Package. The R Journal. 9, 385-392.
- Lnenicka, M., & Nikiforova, A. (2021). Transparency-by-design: What is the role of open data portals? Telematics and Informatics, 61, 1-18.
- McGuinness, L.A., & Schmidt, L. (2020). medrxivr: Accessing and searching medRxiv and bioRxiv preprint data in R. Journal of Open Source Software, 5, 2651-2651.
- Nagy, M., & Molontay, R. (2021). Comprehensive analysis of the predictive validity of the university entrance score in Hungary. Assessment & Evaluation in Higher Education, 46(8), 1235-1253.
- Odell, E. (2018). nomisr: Access nomis UK labour market data. Journal of Open Source Software, 3, 859-859.
- Aydin, O., & Cavus, M. (2021). thestats: An R package for gathering and analyzing Turkish higher education statistics. In Proc. The Use of R in Official Statistics.
- Ozoglu, M., Gur, B., & Gumus, S. (2016). Rapid Expansion of Higher Education in Turkey: The Challenges of Recently Established Public Universities (2006–2013). Higher Education Policy, 29, 21-39.
- Senyondo, H., McGlinn D.J., Sharma, P., Harris, D.J., Ye, H., Taylor, S.D., Ooms, J., Rodriguez-Sanchez, F., Ram, K., Pandey, A., Bansal, H., Pohlman, M., & White, E.P. (2021). Rdataretriever: R interface to the data retriever. Journal of Open Source Software, 6, 2800-2800.
- Sparks, A.H. (2018). nasapower: A NASA power global meteorology, surface solar energy and climatology data client for R. Journal of Open Source Software, 3, 1035-1053.
- Suna, H.E., Gur, B. S., Gelbal, S., & Ozer, M. (2020). Science high school students’ socioeconomic background and their preferences regarding their transition into higher education. Journal of Higher Education, 10(2), 356-370.
- Tekneci, P.D. (2016). Evolution of Turkish higher education system in the last decade. Journal of Higher Education and Science, 3, 277-287.
- Tilak, J.B.G. (2020). Determinants of students’ choice of engineering disciplines in India. Journal of Higher Education, 10(2), 163-180. Turkish Council of Higher Education. (2021). Higher Education System in Turkey. Monitor on Psychology, 39(6). Retrieved from https://www.yok.gov.tr/en/institutional/higher-education-system.
- Vatansever, M., Demir, I., & Hepsen, A. (2020). Cluster and forecasting analysis of the residential market in Turkey: An autoregressive model-based fuzzy clustering approach. International Journal of Housing Markets and Analysis, 13, 583-600.
- Wickham, H. (2021). rvest: Easily Harvest (Scrape) Web Pages. R package version 1.0.0.
- Wickham, H., & Bryan, J. (2021). usethis: Automate Package and Project Setup. R package version 2.0.1.
- Wickham, H., François, R., Henry, L., & Müller, K. (2021) dplyr: A Grammar of Data Manipulation. R package version 1.0.7
There are 28 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Studies on Education |
| Journal Section | Araştırma Makalesi |
| Authors | |
| Early Pub Date | June 1, 2023 |
| Publication Date | June 5, 2023 |
| Published in Issue | Year 2023 Volume: 13 Issue: 1 |
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