Veri Okuryazarlığı
Özet
Günümüzde veri, yalnızca sayılar ve istatistiklerden ibaret olmayıp insanlığın kolektif hafızasını şekillendiren bir güce dönüşmüştür. Teknolojik ilerlemelerle birlikte kontrol edilemeden büyüyen veri hacmi, bireylerin ve kurumların bu bilgi yığınını anlamlandırma, sorgulama ve stratejik kararlara dönüştürme becerisini zorunlu kılmaktadır. Veri okuryazarlığı, bireyler için artık bir seçenek değil; vatandaşlığı icra etmenin dijital alandaki temel taşıdır. Bu beceri, verinin ardında gizli bilgiyi keşfetmekle kalmaz, aynı zamanda etik ikilemleri çözme, yapay zekânın karanlık kutularını aydınlatma ve toplumsal eşitsizliklerle mücadele etme potansiyeli taşımaktadır. Veri okuryazarlığı, 21. yüzyılın en değerli entelektüel sermayesi olarak kabul edilmektedir. Dünya Ekonomik Forumu, en çok talep görecek beceriler arasında veri okuryazarlığını işaret ederken, anketler çalışanların yalnızca %21’inin kendini bu alanda yetkin hissettiğini ortaya koymaktadır. Bu durum açıkça, bireylerin yanı sıra kurumları da derin bir dönüşüme zorlamaktadır. Veri okuryazarlığı, salt teknik bir yetenek değil; eleştirel düşünme, etik farkındalık ve yaratıcı problem çözme ile bütünleşmiş disiplinler arası bir yaklaşımdır. Kitabın bu bölümü, verinin karmaşık dünyasında okuyucuyu pasif bir tüketiciden aktif bir veri katılımcısına dönüştürmeyi hedeflemektedir.
Referanslar
Azzam, T., & Riggio, R. E. (2003). Community based civic leadership programs: A descriptive investigation. Journal of Leadership & Organizational Studies, 10(1), 55-67.
Bhargava, R., & D'Ignazio, C. (2015). Designing Tools and Activities for Data Literacy Learners. Journal of Community Informatics, 12(3).
Buneman, P., Khanna, S., & Wang-Chiew, T. (2001). Why and where: A characterization of data provenance. In Database Theory—ICDT 2001: 8th International Conference London, UK, January 4–6, 2001 Proceedings 8 (pp. 316-330). Springer Berlin Heidelberg.
Burrill, G. (2019). Statistical literacy and quantitative reasoning. In Theory and Practice: An Interface or A Great Divide? The Mathematics Education for the Future Project–Proceedings of the 15th International Conference (Vol. 4, p. 66). WTM-Verlag Münster.
Calzada Prado, J., & Marzal, M. Á. (2013). Incorporating data literacy into information literacy programs: Core competencies and contents. Libri, 63(2), 123-134.
Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs: A study of students and research faculty. portal: Libraries and the Academy, 11(2), 629-657.
Crawford, K., Schultz, J. (2014). Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms. Boston College Law Review, 55(1), 93–128.
Engel, J. (2017). Statistical literacy for active citizenship: A call for data science education. Statistics Education Research Journal, 16(1), 44-49.
Facer, K., & Selwyn, N. (2021). Digital technology and the futures of education: Towards ‘Non-Stupid’optimism. Futures of Education initiative, UNESCO.
Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
Force, A. F. T., (2016). Framework for Information Literacy for Higher Education. ACRL Information Literacy Standards Committee, & ACRL Standards Committee.
Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines for assessment and instruction in statistics education (GAISE) report.
Gartner. (2022). Data Literacy: The Key to Data-Driven Decision Making. (https://www.gartner.com/en/data-analytics/topics/data-literacy)
Gebre, E. (2022). Conceptions and perspectives of data literacy in secondary education. British Journal of Educational Technology, 53(5), 1080-1095.
Gray, J., Gerlitz, C., & Bounegru, L. (2018). Data infrastructure literacy. Big Data & Society, 5(2), 2053951718786316.
Greenberg, J. (2009). Theoretical considerations of lifecycle modeling: An analysis of the Dryad repository demonstrating automatic metadata propagation, inheritance, and value system adoption. Cataloging & Classification Quarterly, 47(3–4), 380–402.
ICPSR. (2012). Guide to Social Science Data Preparation and Archiving: Best Practice Throughout the Data Life Cycle. University of Michigan.
Kitchin, R. (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. Sage.
Kleinberg, J., Mullainathan, S., & Raghavan, M. (2016). Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807.
Koltay, T. (2017). Data literacy for researchers and data librarians. Journal of Librarianship and Information Science, 49(1), 3-14.
Mackey, T. P., & Jacobson, T. E. (2014). Metaliteracy: Reinventing information literacy to empower learners. American Library Association.
Michener, W. K. (2015). Ten Simple Rules for Creating a Good Data Management Plan. PLOS Computational Biology, 11(10), e1004525.
Mooney, H., Newton, M. (2012). The anatomy of a data citation: Discovery, reuse, and credit. Journal of Librarianship and Scholarly Communication, 1(1), eP1035.
Morrow, J. (2024). Be data literate: The data literacy skills everyone needs to succeed. Kogan Page Publishers.
OECD. (2019). Programme for the International Assessment of Adult Competencies (PIAAC).
Pinto, M., Gómez-Camarero, C., García-Marco, F. J., & Caballero-Mariscal, D. (2023). A strategic approach to information literacy: data literacy. A systematic review. Prof. inf., (ART-2023-136017).
Provost, F., Fawcett, T. (2013). Data Science for Business. O’Reilly Media.
Ridsdale, C., Rothwell, J., Smit, M., Ali-Hassan, H., Bliemel, M., Irvine, D., ... & Wuetherick, B. (2015). Strategies for Data Literacy Education: A Literature Review. Dalhousie University.
Scannapieco, M. (2006). Data quality: concepts, methodologies and techniques. Data-centric systems and applications. Springer.
Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., ... & Frame, M. (2011). Data sharing by scientists: Practices and perceptions. PLOS ONE, 6(6), e21101.
Wickham, H., & Grolemund, G. (2017). R for data science (Vol. 2). Sebastopol, CA: O'Reilly.
Wikipedia. (2023). Data Literacy. Retrieved from https://en.wikipedia.org/wiki/Data_literacy
Wolff, A., Gooch, D., Cavero Montaner, J. J., Rashid, U., Kortuem, G. (2016). Creating an understanding of data literacy for a data-driven society. The Journal of Community Informatics, 12(3).
World Economic Forum. (2020). The Future of Jobs Report. (http://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf)
https://dalicitizens.eu/index.php/dali-data-literacy-framework/ (Erişim Tarihi: 03.04.2025)
https://www.accenture.com/content/dam/accenture/final/a-com-migration/r3-3/pdf/pdf-118/accenture-the-human-impact-data-literacy.pdf (Erişim Tarihi: 28.06.2025)
https://community.sap.com/t5/technology-blog-posts-by-sap/bad-data-costs-the-u-s-3-trillion-per-year/ba-p/13575387 (Erişim Tarihi: 12.05.2025) https://ec.europa.eu/eurostat/databrowser/view/tepsr_sp410/default/table?lang=en&category=t_isoc.t_isoc_sk (Erişim Tarihi: 12.05.2025)
https://media.datacamp.com/legacy/v1676480048/Marketing/Blog/The_State_of_Data_Literacy_2023.pdf (Erişim Tarihi: 14.06.2025)
https://media.datacamp.com/cms/datacamp-dlr-report-2025-v2.pdf (Erişim Tarihi: 30.06.2025)
Yakel, E. (2007). Digital curation. OCLC Systems & Services: International digital library perspectives, 23(4), 335–340.
Zook, M., Barocas, S., boyd, d., Crawford, K., Keller, E., Gangadharan, S. P., ... & Pasquale, F. (2017). Ten simple rules for responsible big data research. PLOS Computational Biology, 13(3), e1005399.
Referanslar
Azzam, T., & Riggio, R. E. (2003). Community based civic leadership programs: A descriptive investigation. Journal of Leadership & Organizational Studies, 10(1), 55-67.
Bhargava, R., & D'Ignazio, C. (2015). Designing Tools and Activities for Data Literacy Learners. Journal of Community Informatics, 12(3).
Buneman, P., Khanna, S., & Wang-Chiew, T. (2001). Why and where: A characterization of data provenance. In Database Theory—ICDT 2001: 8th International Conference London, UK, January 4–6, 2001 Proceedings 8 (pp. 316-330). Springer Berlin Heidelberg.
Burrill, G. (2019). Statistical literacy and quantitative reasoning. In Theory and Practice: An Interface or A Great Divide? The Mathematics Education for the Future Project–Proceedings of the 15th International Conference (Vol. 4, p. 66). WTM-Verlag Münster.
Calzada Prado, J., & Marzal, M. Á. (2013). Incorporating data literacy into information literacy programs: Core competencies and contents. Libri, 63(2), 123-134.
Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs: A study of students and research faculty. portal: Libraries and the Academy, 11(2), 629-657.
Crawford, K., Schultz, J. (2014). Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms. Boston College Law Review, 55(1), 93–128.
Engel, J. (2017). Statistical literacy for active citizenship: A call for data science education. Statistics Education Research Journal, 16(1), 44-49.
Facer, K., & Selwyn, N. (2021). Digital technology and the futures of education: Towards ‘Non-Stupid’optimism. Futures of Education initiative, UNESCO.
Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
Force, A. F. T., (2016). Framework for Information Literacy for Higher Education. ACRL Information Literacy Standards Committee, & ACRL Standards Committee.
Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines for assessment and instruction in statistics education (GAISE) report.
Gartner. (2022). Data Literacy: The Key to Data-Driven Decision Making. (https://www.gartner.com/en/data-analytics/topics/data-literacy)
Gebre, E. (2022). Conceptions and perspectives of data literacy in secondary education. British Journal of Educational Technology, 53(5), 1080-1095.
Gray, J., Gerlitz, C., & Bounegru, L. (2018). Data infrastructure literacy. Big Data & Society, 5(2), 2053951718786316.
Greenberg, J. (2009). Theoretical considerations of lifecycle modeling: An analysis of the Dryad repository demonstrating automatic metadata propagation, inheritance, and value system adoption. Cataloging & Classification Quarterly, 47(3–4), 380–402.
ICPSR. (2012). Guide to Social Science Data Preparation and Archiving: Best Practice Throughout the Data Life Cycle. University of Michigan.
Kitchin, R. (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. Sage.
Kleinberg, J., Mullainathan, S., & Raghavan, M. (2016). Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807.
Koltay, T. (2017). Data literacy for researchers and data librarians. Journal of Librarianship and Information Science, 49(1), 3-14.
Mackey, T. P., & Jacobson, T. E. (2014). Metaliteracy: Reinventing information literacy to empower learners. American Library Association.
Michener, W. K. (2015). Ten Simple Rules for Creating a Good Data Management Plan. PLOS Computational Biology, 11(10), e1004525.
Mooney, H., Newton, M. (2012). The anatomy of a data citation: Discovery, reuse, and credit. Journal of Librarianship and Scholarly Communication, 1(1), eP1035.
Morrow, J. (2024). Be data literate: The data literacy skills everyone needs to succeed. Kogan Page Publishers.
OECD. (2019). Programme for the International Assessment of Adult Competencies (PIAAC).
Pinto, M., Gómez-Camarero, C., García-Marco, F. J., & Caballero-Mariscal, D. (2023). A strategic approach to information literacy: data literacy. A systematic review. Prof. inf., (ART-2023-136017).
Provost, F., Fawcett, T. (2013). Data Science for Business. O’Reilly Media.
Ridsdale, C., Rothwell, J., Smit, M., Ali-Hassan, H., Bliemel, M., Irvine, D., ... & Wuetherick, B. (2015). Strategies for Data Literacy Education: A Literature Review. Dalhousie University.
Scannapieco, M. (2006). Data quality: concepts, methodologies and techniques. Data-centric systems and applications. Springer.
Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., ... & Frame, M. (2011). Data sharing by scientists: Practices and perceptions. PLOS ONE, 6(6), e21101.
Wickham, H., & Grolemund, G. (2017). R for data science (Vol. 2). Sebastopol, CA: O'Reilly.
Wikipedia. (2023). Data Literacy. Retrieved from https://en.wikipedia.org/wiki/Data_literacy
Wolff, A., Gooch, D., Cavero Montaner, J. J., Rashid, U., Kortuem, G. (2016). Creating an understanding of data literacy for a data-driven society. The Journal of Community Informatics, 12(3).
World Economic Forum. (2020). The Future of Jobs Report. (http://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf)
https://dalicitizens.eu/index.php/dali-data-literacy-framework/ (Erişim Tarihi: 03.04.2025)
https://www.accenture.com/content/dam/accenture/final/a-com-migration/r3-3/pdf/pdf-118/accenture-the-human-impact-data-literacy.pdf (Erişim Tarihi: 28.06.2025)
https://community.sap.com/t5/technology-blog-posts-by-sap/bad-data-costs-the-u-s-3-trillion-per-year/ba-p/13575387 (Erişim Tarihi: 12.05.2025) https://ec.europa.eu/eurostat/databrowser/view/tepsr_sp410/default/table?lang=en&category=t_isoc.t_isoc_sk (Erişim Tarihi: 12.05.2025)
https://media.datacamp.com/legacy/v1676480048/Marketing/Blog/The_State_of_Data_Literacy_2023.pdf (Erişim Tarihi: 14.06.2025)
https://media.datacamp.com/cms/datacamp-dlr-report-2025-v2.pdf (Erişim Tarihi: 30.06.2025)
Yakel, E. (2007). Digital curation. OCLC Systems & Services: International digital library perspectives, 23(4), 335–340.
Zook, M., Barocas, S., boyd, d., Crawford, K., Keller, E., Gangadharan, S. P., ... & Pasquale, F. (2017). Ten simple rules for responsible big data research. PLOS Computational Biology, 13(3), e1005399.
