Digital Data
Öz
Today can be called the age of data. From this point of view, everything has changed from the past to the present, involving living conditions and styles, individual habits, ways of thinking to forms of communication. In the past, a change in a country was confined to that country, whereas now, even if it does not leave the borders of the country, instant access to everything affects all countries of the world. Both for the individual, but especially in both academia and business, data has been an important concept. Today, the concepts of data security, organization, management, storage and data ethics have begun to appear in every situation. While these concepts bring convenience in business, they also involve risks. Deficiencies in stages such as the storage, security, collection, privacy, purposes, methods and process of use of information can lead to leaks over the internet, and so-called malicious people or criminal organizations can easily access the centers where the data is kept. All over the world and in our country, especially the economic concerns that started with the Covid 19 pandemic process and whose effects are still continuing, and the troubles brought by life have led people to earn easy profits by entering their information on various social media tools, platforms and sites that they may or may not have information on the internet. For this reason, the protection, incolumity and hiddenness of the datum entered on the internet, alongside of issues such as data ethics, have become increasingly important in this century, which we recognize as the data age, and have led countries to research and prepare data constitutions in the national and international arena. In this article, data security, protection, privacy and data ethics, which are among the issues that need to be carefully examined for the stability of countries and the peace and prosperity of society, are emphasized.
Anahtar Kelimeler
Data Security, Privacy, Data Integrity, Data Ethics, Covid 19
Kaynakça
- Abeler, J., Bäcker, M., Buermeyer, U., & Zillessen, H. (2020). COVID-19 Contact Tracing and Data Protection Can Go Together. JMIR mHealth and uHealth, 8(4), e19359. https://doi.org/10.2196/19359R.
- Nikam & R. Shahapurkar, Data Privacy Preservation and Security Approaches for Sensitive Data in Big Data. 10.3233/APC210221 (2021).
- Nikam, Rohit & Shahapurkar, Rekha. (2021). Data Privacy Preservation and Security Approaches for Sensitive Data in Big Data. 10.3233/APC210221.
- Alabaichi, Ashwaq. (2020). A Review on Security Challenges and Approaches in the Cloud Computing. Bertino, Elisa & Ferrari, Elena. (2018). Big Data Security and Privacy. 10.1007/978-3-319-61893-7_25.
- Bertino, E. (2016). Data Security and Privacy: Concepts, Approaches, and Research Directions. 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), 1, 400-407.
- DJ. Hand, Aspects of Data Ethics in a Changing World: Where Are We Now? Big Data. 2018 Sep 1;6(3):176-190. doi: 10.1089/big.2018.0083. Epub 2018 Sep 17. PMID: 30283727; PMCID: PMC6154451.
- Herschel, Richard & Miori, Virginia. (2017). Ethics & Big Data. Technology in Society. 49. 10.1016/j.techsoc.2017.03.003. M. K. Kagita, Security and Privacy Issues for Business Intelligence in IoT. 10.1007/978-3-030-12385-7_70 (2020).
- Kagita, Mohan Krishna. (2020). Security and Privacy Issues for Business Intelligence in IoT. 10.1007/978-3-030-12385-7_70.
- Kumar, Ravi & Raj, Herbert & Perianayagam, Jelciana. (2018). Exploring Data Security Issues and Solutions in Cloud Computing. Procedia Computer Science. 125. 691-697. 10.1016/j.procs.2017.12.089.
- Khansa, Lara & Zobel, Christopher. (2014). Assessing Innovations in Cloud Security. Journal of Computer Information Systems. 54. 45-56. 10.1080/08874417.2014.11645703.