Sources & Further reading material
Benchimol, E. I.,
Smeeth, L., Guttmann, A., Harron, K., Moher, D., Petersen, I., . . . Langan, S.
M. (2015). The REporting of studies Conducted using Observational
Routinely-collected health Data (RECORD) statement. PLoS Med, 12(10), e1001885. doi:10.1371/journal.pmed.1001885
Bhardwaj, N.,
Wodajo, B., Spano, A., Neal, S., & Coustasse, A. (2018). The Impact of Big
Data on Chronic Disease Management. Health
Care Manag (Frederick), 37(1), 90-98. doi:10.1097/hcm.0000000000000194
CDC. (2021). Goals and Benefits of Data Interoperability. Retrieved from https://www.cdc.gov/datainteroperability/goals-and-benefit.html
Cheng, H. G.,
& Phillips, M. R. (2014). Secondary analysis of existing data:
opportunities and implementation. Shanghai
archives of psychiatry, 26(6), 371-375.
doi:10.11919/j.issn.1002-0829.214171
Comission, E. (2019). Ethics guidelines for trustworthy AI. Retrieved from https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
Comission, E. (2020). Data governance and data policies at the European Commission. Retrieved from https://ec.europa.eu/info/publications/data-governance-and-data-policies-european-commission_en
Commission, E. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Retrieved from https://eur-lex.europa.eu/eli/reg/2016/679/oj
Cruz-Correia, R., Rodrigues, P., Freitas, A., Almeida, F., Chen, R., & Costa-Pereira, A. (2009). Data Quality and Integration Issues in Electronic Health Records. In (pp. 55-95).
Davenport, T., & Harris, J. (2007). Competing on Analytics: The New Science of Winning.
Gao, X., & Yu, J. (2020). Public governance mechanism in the prevention and control of the COVID-19: information, decision-making and execution. Journal of Chinese Governance, 5, 178 - 197.
Halevi, G. (2014). Research Assessment: Review of methodologies and approaches. Research Trends.
Hunink, M. G. M., Weinstein, M. C., Wittenberg, E., Drummond, M. F., Pliskin, J. S., Wong, J. B., & Glasziou, P. P. (2014). Decision Making in Health and Medicine: Integrating Evidence and Values (2 ed.). Cambridge: Cambridge University Press.
IBM. (Data Governance). Retrieved from https://www.ibm.com/analytics/data-governance
Janssen, M., &
van der Voort, H. (2020). Agile and adaptive governance in crisis response:
Lessons from the COVID-19 pandemic. International
Journal of Information Management, 55, 102180. doi:https://doi.org/10.1016/j.ijinfomgt.2020.102180
Jiang, F., Jiang,
Y., Zhi, H., Dong, Y., Li, H., Ma, S., . . . Wang, Y. (2017). Artificial
intelligence in healthcare: past, present and future. Stroke and vascular neurology, 2(4), 230-243.
doi:10.1136/svn-2017-000101
Magnuson J.A., D. B. E. (2020). Public Health Informatics and Information Systems: Springer International Publishing.
Maissenhaelter, B.
E., Woolmore, A. L., & Schlag, P. M. (2018). Real-world evidence research
based on big data. Der Onkologe, 24(2),
91-98. doi:10.1007/s00761-018-0358-3
Mehta, N., &
Pandit, A. (2018). Concurrence of big data analytics and healthcare: A systematic
review. Int J Med Inform, 114, 57-65.
doi:10.1016/j.ijmedinf.2018.03.013
Moghadam, R. S.,
& Colomo-Palacios, R. (2018). Information security governance in big data
environments: A systematic mapping. Procedia
Computer Science, 138, 401-408. doi:https://doi.org/10.1016/j.procs.2018.10.057
Ozaydin, B.,
Zengul, F., Oner, N., & Feldman, S. S. (2020). Healthcare Research and
Analytics Data Infrastructure Solution: A Data Warehouse for Health Services
Research. J Med Internet Res, 22(6),
e18579. doi:10.2196/18579
Pastorino, R., De
Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., &
Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an
overview of the European initiatives. Eur
J Public Health, 29(Supplement_3), 23-27. doi:10.1093/eurpub/ckz168
Ristevski, B.,
& Chen, M. (2018). Big Data Analytics in Medicine and Healthcare. Journal of integrative bioinformatics, 15(3),
20170030. doi:10.1515/jib-2017-0030
Sackett, D. L.,
Rosenberg, W. M., Gray, J. A., Haynes, R. B., & Richardson, W. S. (1996).
Evidence based medicine: what it is and what it isn't. BMJ (Clinical research ed.), 312(7023), 71-72.
doi:10.1136/bmj.312.7023.71
Schlomer, B. J.,
& Copp, H. L. (2014). Secondary data analysis of large data sets in
urology: successes and errors to avoid. J
Urol, 191(3), 587-596. doi:10.1016/j.juro.2013.09.091
Sesana, Rivallain,
& Salvalai. (2020). Overview of the Available Knowledge for the Data Model
Definition of a Building Renovation Passport for Non-Residential Buildings: The
ALDREN Project Experience. Sustainability,
12, 642. doi:10.3390/su12020642
Shabani, M.
(2021). The Data Governance Act and the EU's move towards facilitating data
sharing. Molecular systems biology, 17(3),
e10229-e10229. doi:10.15252/msb.202110229
Shortliffe, E., & Cimino, J. (2014). Biomedical Informatics: Computer Applications in Health Care and Biomedicine.
Wang, D. D., &
Hu, F. B. (2018). Precision nutrition for prevention and management of type 2
diabetes. The Lancet Diabetes &
Endocrinology, 6(5), 416-426. doi:https://doi.org/10.1016/S2213-8587(18)30037-8
Watson, H. (2019).
Update Tutorial: Big Data Analytics: Concepts, Technology, and Applications. Communications of the Association for
Information Systems, 44, 364-379. doi:10.17705/1CAIS.04421
WHO. (2008). HEALTH INFORMATION SYSTEMS Retrieved from https://www.who.int/healthinfo/statistics/toolkit_hss/EN_PDF_Toolkit_HSS_InformationSystems.pdf