Big Data Analytics in the Public Sector: Improving the Strategic Planning in World Class Universities

Author(s):  
Joni A. Amorim ◽  
Sten F. Andler ◽  
Per M. Gustavsson ◽  
Oswaldo L. Agostinho
2018 ◽  
Vol 331 ◽  
pp. 301-311
Author(s):  
Gergely László Szὄke

Big Data is clearly one of the most used buzzwords nowadays, but it really seems that the phenomenon of Big Data will have a huge effect on many different fields, and may be regarded as the new wave of the information revolution started in the 60s of the last century. The potential of exploiting Big Data promises significant benefits (and also new challenges) both in the private and the public sector – this essay will focus on this latter. After a short introduction about Big Data, this paper will first sum up the potential use of Big Data analytics in the public sector. Then I will focus on a specific issue within this scope, namely, how the use of Big Data and algorithm-based decision-making may affect transparency and access to these data. I will focus on the question why the transparency of the algorithms is raised at all, and what the current legal framework for the potential accessibility to them is.


2020 ◽  
pp. 217-230
Author(s):  
Philip Garnett ◽  
Sarah M. Hughes

In this chapter, Garnett and Hughes focus on the role of big data in accessing information from public inquiries. Looking at the Chelsea Manning court martial in the US and the Leveson Inquiry in the UK, they argue that the manner in which information pertaining to inquiries is made public is, at best, unsatisfactory. They propose a variety of means to make this information more accessible and hence more transparent to the public through employing big data techniques.


EDPACS ◽  
2021 ◽  
pp. 1-20
Author(s):  
Zam Zarina Abdul Jabar ◽  
Muslihah Wook ◽  
Omar Zakaria ◽  
Suzaimah Ramli ◽  
Noor Afiza Mat Razali

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Sara J Kavanagh ◽  
Benjamin Bray ◽  
Lizz Paley ◽  
James T Campbell ◽  
Emma Vestesson ◽  
...  

Introduction: The Sentinel Stroke National Audit Programme (SSNAP) is the new national stroke register of England and Wales. It has been designed to harness the power of “Big Data” to produce near real-time data collection, analysis and reporting. Sophisticated data visualization is used to provide customized analytics for clinical teams, administrators, healthcare funders and stroke survivors and carers. Methods: A portfolio of cutting edge data visualisation outputs, including team level slidedecks, performance charts, dashboards , and interactive maps, was produced. Visualisations for patients and the public were co-designed with stroke survivors. Stakeholder feedback regarding accessibility and usefulness of the resources was sought via online polls. Results: Key SSNAP results are made accessible electronically every three months in a range of bespoke graphical formats. Individualised slidedecks and data summaries are produced for every hospital, funding group, and region to enable provider level performance and quality reporting and regional and national benchmarking. Dynamic maps enhance dissemination and use of results. Real time root cause analysis tools help teams identify areas of improvement. Feedback reports unprecedented utility of these resources for clinical teams, funders, regional and national health bodies, patients and the public in identifying areas of good practice and requiring improvements, highlighting variations, and driving change. Conclusion: SSNAP is a potential new model of healthcare quality measurement that uses recent developments in big data analytics and visualization to provide information on stroke care quality that is more useful to stakeholders. Similar approaches could be used in other healthcare settings and populations.


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