scholarly journals Big Data Matching Using the Identity Correlation Approach

2016 ◽  
Author(s):  
Mary Smyth ◽  
Kevin McCormack
Keyword(s):  
Big Data ◽  
Public Service ◽  
Central Government ◽  
Statistical Technique ◽  
Statistical Techniques ◽  
Unique Identifier ◽  
Individual Level ◽  
Data Matching ◽  
Business Survey ◽  
Administrative Datasets

Abstract The Identity Correlation Approach (ICA) is a statistical technique developed for matching big data where a unique identifier does not exist. This technique was developed to match the Irish Census 2011 dataset to Central Government Administrative Datasets in order to attach a unique identifier to each individual person in the Census dataset (McCormack & Smyth, 20151). The unique identifier attached is the PPS No. (Personal Public Service No.2). By attaching the PPS No. to the Census dataset, each individual can be linked to datasets held centrally by Public Sector Organisations. This expands the range of variables for statistical analysis at individual level. Statistical techniques developed here were undertaken for a major European Structure of Earnings Survey (SES) compiled by the CSO using administrative data only,  and thus eliminating the need for an expensive business survey to be conducted (NES, 20073,4,5). A description of how the Identity Correlation Approach was developed is given in this paper. Data matching results and conclusions are presented here in relation to the Structure of Earnings Survey (SES)6 results for 2011.

scholarly journals From Bulletin Boards to Big Data

2021 ◽  
Vol 50 (1) ◽  
pp. 39-62
Author(s):  
Christian Göbel ◽  
Jie Li
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Central Government ◽  
Developmental Trajectory ◽  
Credit System ◽  
Feedback Systems ◽  
Social Credit ◽  
Bulletin Boards ◽  
Local Decision ◽  
Set Up

Why do Chinese governments at various levels set up public complaint websites where citizen petitions and government responses can be reviewed by the general public? We argue that it is the result of two factors: strong signals sent by the central government to improve governance, and the availability of new technologies to promote policy innovation. To impress their superiors, local officials adopted newly available commercial technology to innovate existing citizen feedback systems, which presented a developmental trajectory from “openness,” “integration,” to “big data-driven prediction.” Drawing on policy documents and interviews with local politicians and administrators, we provide a chronological perspective of how technical development, central government’s signals and local decision-making have interacted in the past two decades to bring forth today’s public complaint websites. The contingent and non-teleological nature of this development can also be applied to other policies such as the social credit system.

Archival Big Data and the Spanish Flu in Copenhagen

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kim Abildgren
Keyword(s):  
Big Data ◽  
Birth Cohort ◽  
Mortality Risk ◽  
Early Life ◽  
Birth Cohorts ◽  
Content Type ◽  
Individual Level ◽  
Early Life Exposure ◽  
Spanish Flu ◽  
One Year

Purpose The Spanish Flu 1918–1920 saw a high degree of excess mortality among young and healthy adults. The purpose of this paper is a further exploration of the hypothesis that high mortality risk during The Spanish Flu in Copenhagen was associated with early life exposure to The Russian Flu 1889–1892. Design/methodology/approach Based on 37,000 individual-level death records in a new unique database from The Copenhagen City Archives combined with approximate cohort-specific population totals interpolated from official censuses of population, the author compiles monthly time series on all-cause mortality rates 1916–1922 in Copenhagen by gender and one-year birth cohorts. The author then analyses birth cohort effects on mortality risk during The Spanish Flu using regression analysis. Findings The author finds support for hypotheses relating early life exposure to The Russian Flu to mortality risk during The Spanish Flu. Some indications of possible gender heterogeneity during the first wave of The Spanish Flu – not found in previous studies – should be a topic for future research based on data from other countries. Originality/value Due to lack of individual-level death records with exact dates of birth and death, previous studies on The Spanish Flu in Denmark and many other countries have relied on data with lower birth cohort resolutions than the one-year birth cohorts used in this study. The analysis in this paper illustrates how archival Big Data can be used to gain new insights in studies on historical pandemics.

Public service motivation and willingness to collaborate

2014 ◽  
Vol 2 (1) ◽  
pp. 80-95 ◽  
Author(s):  
Heather Getha-Taylor ◽  
Alexa Haddock-Bigwarfe
Keyword(s):  
Homeland Security ◽  
Public Service ◽  
Public Service Motivation ◽  
The Body ◽  
Organizational Level ◽  
Cross Sectional ◽  
Content Type ◽  
Individual Level ◽  
Original Survey ◽  
The Individual

Purpose – The purpose of this paper is to examine public service motivation (PSM) and the connection with collaborative attitudes among a sample of homeland security actors representing the public, private, and nonprofit sectors. Design/methodology/approach – This study examines relationships between measures of PSM and collaboration using original survey data and hierarchical multiple regression. Findings – Findings reveal strong positive relationships between PSM measures and attitudes toward collaboration at the individual and organizational level. Research limitations/implications – Survey results are cross-sectional and are from respondents participating in a single state's homeland security summit. Practical implications – It is expected that results can be used to enhance collaboration at the individual and organizational levels. At the organizational level, results can be used for matching individuals with collaborative opportunities. At the individual level, results can be used for enhanced self-reflection and effectiveness purposes. Originality/value – This study provides insights on the relationship between PSM measures and collaborative attitudes. The research contributes to the body of scholarly work connecting PSM and correlates of interest.

scholarly journals Citizen’s Charter a Mechanism for Accountability: An Analysis of India Conditions

2021 ◽  
Vol 5 (2) ◽  
pp. 41-51
Author(s):  
Ramthanpuia Pachuau
Keyword(s):  
Public Service ◽  
Central Government ◽  
Government Policies ◽  
Administrative Reforms ◽  
The People ◽  
Official Statement ◽  
Long Time ◽  
The Government ◽  
Democratic Country

The initiatives of Citizen’s Charter are an effort in solving citizen’s problems that they encounter regularly over a long time while dealing with the government or any other organizations. It is a document of an official statement that ensures the accountability of the organization and their commitment towards the citizen in providing the quality of service. The charter aimed to revolutionize public service by empowering the people who were so long regarded as a silent spectator and a mere receiver on the government policies and programmes. In a democratic country, citizens have become more vocals towards the government responsibilities and they expect the administration not only to respond to their demands but also to foresee their needs in the future. In India, the Department of Administrative Reforms and Public Grievances in Government (DARPG) is in charge of organizing, directing, formulating, and operationalizing Citizen's Charters at the Central Government as well as States Government. However, the fulfillment of Citizen’s Charter in India faced many difficulties due to its government bureaucratic structure and resistant to change in its working system.

scholarly journals Insurance Fraud in Korea, Its Seriousness, and Policy Implications

2021 ◽  
Vol 9 ◽  
Author(s):  
Jeyong Jung ◽  
Byung-Jik Kim
Keyword(s):  
Big Data ◽  
Central Government ◽  
Policy Implications ◽  
Limited Attention ◽  
Insurance Fraud ◽  
The Public ◽  
Big Data Technologies ◽  
National Initiative ◽  
Active Interest ◽  
Dynamic Concentration

Several characteristics of insurance fraud including its chronic nature justifies the need for identifying feasible proposals which can be expected to bring about significant impacts. Recent statistics show that insurance fraud is now consistently on the increase. However, insurance fraud is highly fragmented and each offence is not significant enough to elicit active interest among the public or interventions from the police. Three problems have been identified and diagnosed. These were a lack of awareness, an absence of a national leadership and also limited attention directed to insurance fraud by the investigating authorities. Based on these, three recommendations have been suggested. (1) Embarking on and developing a national initiative by central government, (2) Taking a dynamic concentration approach to send deterrent threats to potential fraudsters, and (3) Using big data technologies to detect clandestine activities by organised groups.

Approaches to Quantitative Data Analysis and Evaluation

2016 ◽  
Author(s):  
Stephen Rae ◽  
Ahmed Salhin ◽  
Babak Taheri ◽  
Catherine Porter ◽  
Christian König ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Quantitative Data ◽  
Statistical Techniques ◽  
Statistical Tools ◽  
Analysis And Evaluation ◽  
Quantitative Data Analysis ◽  
Analyse Data

To understand data and present findings appropriately, researchers need awareness of statistical techniques. This chapter discusses the statistical tools used to analyse data collected. It focuses on two sets of the most widely used statistical tools, as shown in the ‘Deductive’ section in the data analysis area of the Methods Map (see Chapter 4): (1) exploring relationships and (2) comparing groups. In addition, we briefly explain ‘Big Data’.

Changing patterns of individual performance appraisal systems for civil service in European Union countries: toward a developmental or an incentivizing model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gyorgy Hajnal ◽  
Katarina Staronova
Keyword(s):  
Performance Appraisal ◽  
Public Service ◽  
Public Management ◽  
New Public Management ◽  
Central Government ◽  
Individual Performance ◽  
Content Type ◽  
Public Service Organizations ◽  
New Public ◽  
Appraisal Systems

PurposeThe purpose of this article is to examine whether the incentivizing type of performance appraisal (typical of New Public Management) has indeed been superseded by a post-New Public Management (NPM), developmental type of performance appraisal in European Civil Services.Design/methodology/approachThe literature review lead to a unidimensional, twofold typology: incentivizing (NPM) and developmental (post-NPM) performance appraisal. The empirical basis of the research is two surveys conducted among top civil servants in 18 European countries.FindingsFirst, there are crucial discrepancies between performance appraisal systems in contemporary European central government administrations and current theorizing on performance appraisal. Contrary to our expectations developed on the basis of the latter, “developmental” and “incentivizing” do not seem to be two distinct types of performance appraisal; rather, they are two independent dimensions, defining altogether four different types of performance appraisal systems.Practical implicationsThe authors results give orientation to policymakers and public service managers to engage in designing or applying performance appraisal systems, in particular by identifying assailable presumptions underlying many present-time reform trends.Social implicationsCitizens and communities are direct stakeholders in the development of public service performance appraisal both as possible or actual employees of public service organizations and as recipients of public services.Originality/valueThe paper proposes a new fourfold typology of performance appraisal systems: incentivizing, developmental, symbolic and want-it-all.

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