BIG DATA and OPEN DATA ANALYTICS: THE APPLICATIONS and the PATH TAKEN IN TURKEY

Öz

Having data is becoming more and more important for companies and countries. This is because data is very useful for generating added value and providing transparent government policies. The fact that the data sources are diverse today and the data flow is continuous and very fast also brings the data to be very large and too complex to be processed. In this study, the concepts of big data and open data are introduced technically and the importance and gains of open data that have social and economic effects are mentioned with international examples. In addition, topics covered in data analysis and the use of machine learning in data analysis are given. Following the introduction of services provided using data analysis in Turkey, the study is completed presenting data portals and government policies of Turkey and obstacles and problems hindering the development of open data in Turkey.

Anahtar Kelimeler

• Data Portal
• Open Data
• Data Science

Kaynakça

1. Albayrak, A., & Bilgin, G. (2016). Mitosis detection using convolutional neural network-based features. In Computational Intelligence and Informatics (CINTI), 2016 IEEE 17th International Symposium (pp. 335-340)
2. Beyhan O., Büyük Veri Çalışmaları, Sağlık Bilgi Sistemleri Genel Müdürlüğü, Türkiye Bilişim Derneği, Kamu Bilişim Platformu-19, 26-29 October 2017, accessing address: http://www.kamu-bib.org.tr/kamubib-19/sunumlar/ozan-beyhan-kamu-bib19.pdf, last accessed: 08.06.2020
3. Bilge, U. (2007). Tıpta Yapay Zeka ve Uzman Sistemler, IV. National Medical Informatics Congress, pp. 113-118
4. Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N. N. & Madabhushi, A. (2017). Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent. Scientific Reports, 7, 46450
5. Huyer, E., & van Knippenberg, L., (2020) The Economic Impact of Open Data: Opportunities for value creation in Europe, Capgemini Invent, European, Data Portal, 26.01.2020, doi: 10.2830/63132.
6. Miotto, R., Wang, F., Wang, S., Jiang, X., Dudley, J. T., (2017). Deep learning for healthcare: review, opportunities, and challenges, Briefings in Bioinformatics, pp. 1-11.
7. Özkan Ö. (Eds) (2019). Open Data, Law, Regulation and Public Relations Study Group Report, Blockchain Platform of Turkey, August 2019, accessing address: https://Bctr.Org/Dokumanlar/Acik_Veri.Pdf , last accessed: 08.06.2020.
8. Sağıroğlu Ş. (2019) Büyük ve Açık Veri Türkiye Uygulamaları, Big Data Conference, 26 June 2019.

9. Stumpe, M., (2017), Assisting Pathologists in Detecting Cancer with Deep Learning. Google Research Group, Accessing address: https://research.googleblog.com/2017/03/ assistingpathologists-in-detecting.html, last accessed: 08.06.2020