An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications

Melih Takyaci; Niyazi Cenk Genek; Alp Güzel; Muhammet Ali Aydın; Samet Özkök; Hasan Bertuğ Taş; Senai Sinan Sungur; Özgür Alp Yavuz; Muhammet Damar

An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications

Abstract

The main aim of this study is to evaluate the quality of open data widely used in the healthcare sector, the methods of its sharing, and its applications in Türkiye. It also aims to compare these practices with international examples in a detailed manner. Open data plays a strategic role today in increasing transparency and enhancing research capabilities. Proper open data sharing within the healthcare system will support health-related research and enable researchers to perform various analyses on the data. As a result, the energy and resources spent on finding data for scientific developments can be redirected to other areas of scientific activities, leading to more scientific output through various analyses that can be performed with the available data. In our study, we first examine sources that provide health-related data in Türkiye. Notable open data sources in Türkiye include Open Data Izmir, the Istanbul Metropolitan Municipality Open Data Platform, the Turkish Statistical Institute Statistical Data Portal, and the National Smart City Open Data Platform. Internationally, leading open data platforms include the World Health Organization, the U.S. Centers for Disease Control and Prevention, the European Centre for Disease Prevention and Control, the U.S. Health Data Portal, and the World Bank Open Data Portal. In particular, the shared data contents, data types, data formats, reports created for the data, and the privacy measures regarding the data were analyzed. The seasonality and sustainability of the data were also examined. National open data sources were analyzed and compared with international sources. The results of the analysis showed that while there is a special effort in three major cities in Türkiye regarding data sharing, open data in the healthcare sector remains an area that can be improved in Türkiye. Sharing open data in a high-quality and efficient manner, in accordance with international standards, is considered highly valuable both for academic and practical applications. Examples were taken from systems that share appropriate datasets for analysis, and reporting was carried out using Microsoft Power BI business intelligence tools. A comprehensive assessment was made regarding what kinds of analyses can be performed, what kinds of research can be conducted, and what kind of extensions could enable further research. Additionally, as a result of the business intelligence applications, it was observed that the open data practices in Türkiye were generally limited compared to those in other countries. For developing countries like Türkiye, it is suggested that open data reach international standards, that the Ministries of Health support open data, that the formats for open data be diversified, that sharing standards comply with rules and regulations, and that an appropriate legal and regulatory framework be rapidly established. These recommendations indicate that such planning and actions will contribute more to extracting insights from health system data, enabling more scientific value to be drawn, and ensuring that the budget and time spent on data are better allocated to other phases of research.

Keywords

Supporting Institution

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Ethical Statement

This study was conducted using publicly available, aggregated, and non-identifiable secondary data obtained from open data platforms. No direct interaction with human participants, collection of personal data, or intervention involving human subjects was conducted. Therefore, institutional ethics committee approval and informed consent were not required. All data were analyzed and reported in accordance with academic research ethics and applicable data protection principles.

Thanks

The authors sincerely express their gratitude to the Editor-in-Chief and the anonymous reviewers of the Journal of Emerging Computer Technologies for their valuable comments and constructive suggestions. Their insightful feedback contributed significantly to improving the methodological clarity, analytical framework, discussion, and overall academic quality of this manuscript.

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Details

Primary Language

English

Subjects

Data Quality, Data Management and Data Science (Other)

Journal Section

Research Article

Authors

Melih Takyaci ^*
0009-0008-5987-5924
Kosovo

Niyazi Cenk Genek
0009-0003-8495-6789
Türkiye

Alp Güzel
0009-0001-8584-5832
Türkiye

Muhammet Ali Aydın
0009-0004-7650-8860
Türkiye

Samet Özkök
0009-0001-8545-0531
Türkiye

Hasan Bertuğ Taş
0009-0001-4651-9356
Türkiye

Senai Sinan Sungur
0009-0006-8484-4578
Türkiye

Özgür Alp Yavuz
0009-0005-5759-2486
Türkiye

Muhammet Damar
0000-0002-3985-3073
Türkiye

Publication Date

July 22, 2026

Submission Date

March 14, 2026

Acceptance Date

July 22, 2026

Published in Issue

Year 2026 Number: 6

IZ

https://izlik.org/JA87MZ24DF

Cite

RIS / Bibtex

APA

Takyaci, M., Genek, N. C., Güzel, A., Aydın, M. A., Özkök, S., Taş, H. B., Sungur, S. S., Yavuz, Ö. A., & Damar, M. (2026). An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications. Journal of Emerging Computer Technologies, 6, 44-76. https://izlik.org/JA87MZ24DF

AMA

1.Takyaci M, Genek NC, Güzel A, et al. An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications. JECT. 2026;(6):44-76. https://izlik.org/JA87MZ24DF

Chicago

Takyaci, Melih, Niyazi Cenk Genek, Alp Güzel, et al. 2026. “An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications”. Journal of Emerging Computer Technologies, nos. 6: 44-76. https://izlik.org/JA87MZ24DF.

EndNote

Takyaci M, Genek NC, Güzel A, Aydın MA, Özkök S, Taş HB, Sungur SS, Yavuz ÖA, Damar M (July 1, 2026) An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications. Journal of Emerging Computer Technologies 6 44–76.

IEEE

[1]M. Takyaci et al., “An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications”, JECT, no. 6, pp. 44–76, July 2026, [Online]. Available: https://izlik.org/JA87MZ24DF

ISNAD

Takyaci, Melih - Genek, Niyazi Cenk - Güzel, Alp - Aydın, Muhammet Ali - Özkök, Samet - Taş, Hasan Bertuğ - Sungur, Senai Sinan - Yavuz, Özgür Alp - Damar, Muhammet. “An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications”. Journal of Emerging Computer Technologies. 6 (July 1, 2026): 44-76. https://izlik.org/JA87MZ24DF.

JAMA

1.Takyaci M, Genek NC, Güzel A, Aydın MA, Özkök S, Taş HB, Sungur SS, Yavuz ÖA, Damar M. An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications. JECT. 2026;:44–76.

MLA

Takyaci, Melih, et al. “An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications”. Journal of Emerging Computer Technologies, no. 6, July 2026, pp. 44-76, https://izlik.org/JA87MZ24DF.

Vancouver

1.Melih Takyaci, Niyazi Cenk Genek, Alp Güzel, Muhammet Ali Aydın, Samet Özkök, Hasan Bertuğ Taş, Senai Sinan Sungur, Özgür Alp Yavuz, Muhammet Damar. An Evaluation of Open Data Sources in the Health Sector in Türkiye and Around the World and Data Quality Analysis in Open Data Sources Using Business Intelligence Applications. JECT [Internet]. 2026 Jul. 1;(6):44-76. Available from: https://izlik.org/JA87MZ24DF

Journal of Emerging Computer Technologies started to give DOI to articles in 2024.

Journal of Emerging Computer Technologies is a scientific, double-blind, peer-reviewed, open-access, international journal that publishes original theoretical and/or practical articles. It aims to publish a wide range of articles in the fields of computer science, computer engineering, and management information systems and convey studies that benefit science, humanity, researchers, and all interested audiences.

Journal of Emerging Computer Technologies is intended to facilitate effective communication and exchanges between scientists. It will reflect the significant advances that are currently being made in computer science. The multidisciplinary character of this field will be typified by providing the readers with a broad range of articles. They include original review articles and research papers written by individual researchers and research groups which appeal to the international community of academics and other professionals.

Journal of Emerging Computer Technologies keeps related researchers updated on the developments in a wide range of topics reporting experiments, techniques and ideas that advance the understanding of various areas of computer science, computer engineering, and management information systems.

This journal especially concerns the following sub-fields (but not limited to):

Software engineering, computer architecture, programming theory and languages, natural language processing, algorithm and complexity, artificial intelligence, network computing and service, computer graphics and virtual reality, security and cryptography, as well as papers reflecting international trends of research and development, and papers on special topics reporting progress made by scientists.

The Journal of Emerging Computer Technologies (JECT) intended to publish original research/review papers in all main branches of Computer Science and Management Information Systems. Journal of Emerging Computer Technologies only accepts articles written in English for review. We invite submissions on a wide scope of research topics, including, but not limited to:

The subjects covered by the Journal of Emerging Computer Technologies include (But are not limited to):

Natural Language Processing
Bioinformatics
Computer Architecture
Computer Ethics
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Database Systems
Decision Support Systems
E-Commerce
E-Learning
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Virtualization
Human-Computer Interaction
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Pervasive communications
Adaptive, autonomic and context-aware computing
Agents
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Information Technology and their application
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Natural Language Processing
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Pattern Recognition
Real-time information systems
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Parallel & Distributed Systems
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Computer Crime Prevention and Detection
Data Compression
Algorithms Theory & Applications
Computer Graphics and Game Theory
Green Computing
Health and Medical Informatics
Technology in Education
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Cloud Computing
Collaborative applications
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Computational intelligence
Computer Architecture and Embedded Systems
E-Business
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GPS
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Image analysis and processing
Internet, Cloud and Cluster Computing
Mobile computing
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Fuzzy and Neural Network Systems
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IT as a service
Internet of things
Big data and data analytics
Computer Vision
Computer information systems
Computing Ethics
Cryptography
Database Management
Data Mining
Data Retrieval
Digital Economy and Digital Divide
Digital signal processing theory
Sensor Networks
Supply Chain Management
Technology in Education
Ubiquitous and pervasive applications
User interfaces and interaction models
Virtual reality
Real-time multimedia signal processing
Security, Privacy and Trust
Software Engineering
Information processing
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Manuscript Preparation

Paper Types:

1) Research Articles

2) Review Articles*

* Journal of Emerging Computer Technologies prioritizes publishing research articles but accepts review articles, too.

Limits and Constraints for Authors

An article that has been previously rejected for any reason is not taken into consideration and is rejected directly.
An author can publish a maximum of one article in the Journal of Emerging Computer Technologies within one years, regardless of the author's order in the article.
The maximum number of authors in an article should be 3. In cases where more authors are required, a cover letter stating the reasons should be prepared for the editor and uploaded to the system at the time of submission.
Journal of Emerging Computer Technologies is an international journal. It strictly follows the geographical distribution of the authors of the articles published in the journal. In case of intense demand for article publication from a certain country and geography, the publisher or editor has the right to reject these papers or consider them for future issues to ensure geographical diversity.
In such cases, if the authors do not comply with the rules or upload the article to the system without stating the reasons, the editor/editorial board may reject the article without taking it into the evaluation process and giving a reason.

Articles will be DIRECTLY REJECTED WHEN the paper does not satisfy any of the following:

The article's relationship with the scope of the journal is NOT sufficient.
The purpose of the study and the research question is NOT given in the context or is NOT clear. The research question should be given in sufficient detail to understand it clearly
Methods - There should be a methods section that describes the approach clearly.
Contribution to the field - The paper should have a contribution to the field and clearly describe it.
Ethics - If there is any sign of plagiarism or a repeated/well-known study in the literature.
The findings/results are discussed sufficiently in a scientific cause-effect relationship by the purpose.

Manuscript Preparation

The manuscript should be written in clear, concise and grammatically correct English. It is recommended that you ask colleagues to read over your paper prior to submission to ensure it is of a high standard and conforms to a high level of scientific writing.

The maximum length is typically 15 pages for research papers and 20 pages for surveys(review papers).

Journal of Emerging Computer Technologies is a template-free journal at submission.

Accepted papers should be reformatted using the standard JECT Article format ( 📝 JECT_Template.docx ) by the authors. If the authors do NOT want to reformat it, it will be done by our team with a 50(fifty) USD service fee.

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Author Publishing Agreement :
https://dergipark.org.tr/en/download/journal-file/27594
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It is the responsibility of the author to obtain permissions, including paying any fees, for your figures, diagrams, schemes, tables and text. The author must also provide the appropriate acknowledgement text in the caption in the format prescribed by the copyright owner. For example: Reprinted by permission from Macmillan Publishers Ltd: [JOURNAL NAME] (reference citation), copyright (year of publication).

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The manuscript should be presented in the following order.

Title Page
This should contain the title of the contribution and the names and addresses of the authors. The full postal address, e-mail address, telephone and facsimile number of the author who will receive correspondence and check the proofs should be included.

Running Head
The running head or short title is the shortened version of your manuscript title. Not only does this help to identify your manuscript during the evaluation process, but it also acts as the manuscript title on the journal homepage, providing information at a glance for people who are reading the journal.

Abstract
All manuscripts must include a brief but informative Abstract. It should not exceed 300 words and should describe the scope, hypothesis, or rationale for the work and the main findings. The abstract should allow the reader to quickly have a clear idea about the rationale for the work, the experiments conducted, and the results of those experiments before reading the rest of the manuscript. Both common and scientific names should be included; the authorities are not given if they appear in the title. References to the literature and mathematical symbols/equations should not be included.

Keywords
Keywords (3-5) should be provided below the Abstract to assist with indexing the article.

Introduction
The Introduction should briefly indicate the objectives of the study and provide enough background information to clarify why the study was undertaken and what hypotheses were tested.

Materials and Methods
This section should be concise but provide sufficient detail of the material used and equipment, and the procedure followed to allow the work to be repeated by others.

Results
Results should be presented in a logical sequence in the text, tables, and figures. Repetitive presentation of the same data in tables and figures should be avoided. The results should not contain material appropriate to the Discussion. All tables, graphs, statistical analyses, and sample calculations should be presented in this section.

Discussion
The results should be discussed in relation to any hypotheses advanced in the Introduction. Comment on results and indicate possible sources of error. Place the study in the context of other work reported in the literature. Only in exceptional cases should the “Results and Discussion” sections be combined. Refer to graphs, tables and figures by number. This helps tie the data into the text in a very effective manner. Authors should also take future research and limitations into account in the Discussion section.

Conclusion
The main conclusions of the experimental work should be presented. The contribution of the work to the scientific community and its economic implications should be emphasized.

Consent For Publication
N/A.

Acknowledgement
This title is mandatory in the article. The source of financial support must be acknowledged. Authors must declare any financial support or relationships that may pose a conflict of interest in the cover letter submitted with the manuscript. Technical assistance may also be acknowledged.

Funding Information
This title is mandatory in the article. The authors should acknowledge the funders of this manuscript and provide all necessary funding information.

Author Contributions
This title is mandatory in the article. Authors are required to include a statement of responsibility in the manuscript that specifies each author's contribution. The level of detail varies; some disciplines produce manuscripts that comprise discrete efforts readily articulated in detail, whereas other fields operate as group efforts at all stages.

Conflict of Interest
This title is mandatory in the article. A conflict of interest exists when judgment regarding the research is influenced by factors such as financial gain or personal relationships. All authors must disclose any financial, personal, or other associations that may affect or be perceived to influence their work.

Data Availability
This title is mandatory in the article. A sample text can be as follows. "The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request." If there is any specific information about the data, it should be shared here.

Declaration of AI Usage
No AI tools were used in the creation of this manuscript.

References
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Tables
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Figures
Only necessary illustrations should be included. All illustrations (line drawings and photographs) are classified as figures. Figures should be cited in consecutive order in the text. Figures should be sized to fit within the column or the full text width. Line figures should be supplied as sharp, black and white or colour diagrams, drawn with a computer graphics package. Photographs should be sharp and magnifications should be indicated on photographs using a scale bar. Graphics should be supplied as high-resolution (at least 300 d.p.i.) electronic files. Digital images supplied as low-resolution cannot be used and will not be accepted. The legend should incorporate definitions of any symbols used and all abbreviations and units of measurement should be explained so that the figure can be understood without reference to the text.

Abbreviations and Units
SI units as outlined in the latest edition of Units, symbols and Abbreviations: A Guide for Medical and Scientific Editors and Authors (Royal Society of Medicine Press, London), should be used wherever possible. Statistics and measurements should always be given in figures; except where the number begins the sentence. When the number does not refer to a unit measurement, it is spelt out, except where the number is greater than nine. Use only standard abbreviations. The word Figure should be shortened to Fig. unless starting a sentence.

Online Submission
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https://dergipark.org.tr/en/pub/ject/page/14588

Post-Production Manuscript Revisions
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Retractions
https://dergipark.org.tr/en/pub/ject/page/14585

Policy - Generative AI usage key principles
https://dergipark.org.tr/en/pub/ject/page/17850