An Assessment of big data policies and big data maturity in public administration in Turkey

Download
2018
Okuyucu, Aras
Governments have been the largest data collectors since the beginning of their existence. For this reason, big data applications play an important role in public administration. This thesis aims to assess big data policies and big data maturity in public administration in Turkey. In the study, a literature analysis was performed first to understand the use of big data in public administration. In the light of the analysis, big data maturity models were then examined to inform the development of big data policies. Using the country samples, a review was carried out on the big data application areas, so a framework for big data analysis was drawn. Turkey has a long tradition of data collection; it is also a developing country in terms of the use of information technologies in public administration. Therefore, this work initialy researched the historical development of big data policies in Turkey. After this discussion, a selected big data maturity assessment model was applied to Turkey’s case to answer where Turkey is in its e- transformation process, and suggestions were made to improve big data applications.

Suggestions

Reflections on Turkish Personal Data Protection Law and Genetic Data in Focus Group Discussions
Özkan, Özlem; Şahinol, Melike; Aydınoğlu, Arsev Umur; Aydın Son, Yeşim (2022-12-01)
Since the 1970s and more rigorously since the 1990s, many countries have regulated data protection and privacy laws in order to ensure the safety and privacy of personal data. First, a comparison is made of different acts regarding genetic information that are in force in the EU, the USA, and China. In Turkey, changes were adopted only recently following intense debates. This study aims to explore the experts’ opinions on the regulations of the health information systems, data security, privacy, and confide...
On secure electronic auction process of government domestic debt securities in Turkey
Bektaş, Ahmet; Akyıldız, Ersan; Kiraz, Mehmet Sabır; Department of Cryptography (2013)
Auctions, today, have become an important part of electronic commerce. With the gradually increasing importance of confidentiality and privacy in auction modeling, considering these two concepts, various designs have been proposed to ensure secure transmission especially in sealed-bid auctions. However, to the best of our knowledge, there has not been many approaches to the Treasury auctions. Looking at the current systems, many countries including Turkey perform Treasury auctions mostly manually. While it ...
Using operational data for decision making a feasibility study in rail maintenance
Marsh, William; Nur, Khalid; Yet, Barbaros; Majumdar, Arnab (2016-05-01)
In many organisations, large databases are created as part of the business operation: the promise of ‘big data’ is to extract information from these databases to make smarter decisions. We explore the feasibility of this approach for better decision-making for maintenance, specifically for rail infrastructure. We argue that the data should be used within a Bayesian framework with the aim of inferring the underlying state of the system so we can predict future failures and improve decision-making. Within thi...
BIG DATA FOR INDUSTRY 4.0: A CONCEPTUAL FRAMEWORK
Gökalp, Mert Onuralp; Kayabay, Kerem; Eren, Pekin Erhan; Koçyiğit, Altan (2016-12-17)
Exponential growth in data volume originating from Internet of Things sources and information services drives the industry to develop new models and distributed tools to handle big data. In order to achieve strategic advantages, effective use of these tools and integrating results to their business processes are critical for enterprises. While there is an abundance of tools available in the market, they are underutilized by organizations due to their complexities. Deployment and usage of big data analysis t...
Pattern extraction by using both spatial and temporal features on Turkish meteorological data
Goler, Işıl; Yazıcı, Adnan; Karagöz, Pınar; Department of Computer Engineering (2010)
With the growth in the size of datasets, data mining has been an important research topic and is receiving substantial interest from both academia and industry for many years. Especially, spatio-temporal data mining, mining knowledge from large amounts of spatio-temporal data, is a highly demanding field because huge amounts of spatio-temporal data are collected in various applications. Therefore, spatio-temporal data mining requires the development of novel data mining algorithms and computational techniqu...
Citation Formats
A. Okuyucu, “An Assessment of big data policies and big data maturity in public administration in Turkey,” M.S. - Master of Science, Middle East Technical University, 2018.