Guest editorial: Assessing the cost of data quality in a ?low bid? world

1997 ◽  
Vol 1 (6) ◽  
pp. 315-316
Author(s):  
Thomas L. Francoeur
Keyword(s):  
Data Quality ◽  
Guest Editorial ◽  
The Cost

scholarly journals Economic Aspects of the Missing Data Problem – the Case of the Patient Registry

2017 ◽  
Vol 65 (5) ◽  
pp. 1779-1791
Author(s):  
Hatice Uenal ◽  
David Hampel
Keyword(s):  
Missing Data ◽  
Data Quality ◽  
Quality Analysis ◽  
Quality Of Data ◽  
Quality Costs ◽  
Missing Data Problem ◽  
Study Results ◽  
The Cost ◽  
Cost Factors

Registries are indispensable in medical studies and provide the basis for reliable study results for research questions. Depending on the purpose of use, a high quality of data is a prerequisite. However, with increasing registry quality, costs also increase accordingly. Considering these time and cost factors, this work is an attempt to estimate the cost advantages of applying statistical tools to existing registry data, including quality evaluation. Results for quality analysis showed that there are unquestionable savings of millions in study costs by reducing the time horizon and saving on average € 523,126 for every reduced year. Replacing additionally the over 25 % missing data in some variables, data quality was immensely improved. To conclude, our findings showed dearly the importance of data quality and statistical input in avoiding biased conclusions due to incomplete data.

WorldWideWATS: Optimising both the cost and data quality

2010 ◽  
Author(s):  
Peter Napier ◽  
Ian M Threadgold ◽  
Per Gunnar Aas ◽  
David J Harrison
Keyword(s):  
Data Quality ◽  
The Cost

scholarly journals Filtering of pulsed lidar data using spatial information and a clustering algorithm

2020 ◽  
Vol 13 (11) ◽  
pp. 6237-6254
Author(s):  
Leonardo Alcayaga
Keyword(s):  
Data Quality ◽  
Clustering Algorithm ◽  
Spatial Information ◽  
Data Recovery ◽  
Data Filtering ◽  
Lidar Measurements ◽  
Filtering Technique ◽  
The Cost ◽  
Reduced Data ◽  
User Intervention

Abstract. Wind lidars present advantages over meteorological masts, including simultaneous multipoint observations, flexibility in measuring geometry, and reduced installation cost. But wind lidars come with the “`cost” of increased complexity in terms of data quality and analysis. Carrier-to-noise ratio (CNR) has been the metric most commonly used to recover reliable observations from lidar measurements but with severely reduced data recovery. In this work we apply a clustering technique to identify unreliable measurements from pulsed lidars scanning a horizontal plane, taking advantage of all data available from the lidars – not only CNR but also line-of-sight wind speed (VLOS), spatial position, and VLOS smoothness. The performance of this data filtering technique is evaluated in terms of data recovery and data quality against both a median-like filter and a pure CNR-threshold filter. The results show that the clustering filter is capable of recovering more reliable data in noisy regions of the scans, increasing the data recovery up to 38 % and reducing by at least two-thirds the acceptance of unreliable measurements relative to the commonly used CNR threshold. Along with this, the need for user intervention in the setup of data filtering is reduced considerably, which is a step towards a more automated and robust filter.

scholarly journals Filtering of pulsed lidars data using spatial information and a clustering algorithm

2020 ◽  
Author(s):  
Leonardo Alcayaga
Keyword(s):  
Data Quality ◽  
Clustering Algorithm ◽  
Spatial Information ◽  
Data Recovery ◽  
Data Filtering ◽  
Lidar Measurements ◽  
Filtering Technique ◽  
The Cost ◽  
Reduced Data ◽  
User Intervention

Abstract. Wind lidars present advantages over meteorological masts, including simultaneous multi-point observations, flexibility in measuring geometry, and reduced installation cost; but wind lidars come with the cost of increased complexity in terms of data quality and analysis. Carrier-to-noise ratio (CNR) has been the metric most commonly-used to recover reliable observations from lidar measurements, but with severely reduced data recovery. In this work we apply a clustering technique to identify unreliable measurements from pulsed lidars scanning a horizontal plane, taking advantage of all data available from the lidars–not only CNR, but also line-of-sight wind speed (VLOS), spatial position, and VLOS smoothness. The performance of this data filtering technique is evaluated in terms of data recovery and data quality, against both a median-like filter and a pure CNR-threshold filter. The results show that the clustering filter is capable of recovering more reliable data in noisy regions of the scans, increasing the data recovery up to 38 % and reducing by at least two thirds the acceptance of unreliable measurements, relative to the commonly used CNR-threshold. Along with this, the need for user intervention in the setup of data filtering is reduced considerably, which is a step towards a more automated and robust filter.

Guest editorial: Special issue in biomedical data quality assessment methods

2019 ◽  
Vol 181 ◽  
pp. 104954 ◽  
Author(s):  
Carlos Sáez ◽  
Siaw-Teng Liaw ◽  
Eizen Kimura ◽  
Pascal Coorevits ◽  
Juan M Garcia-Gomez
Keyword(s):  
Data Quality ◽  
Quality Assessment ◽  
Guest Editorial ◽  
Assessment Methods ◽  
Biomedical Data ◽  
Special Issue ◽  
Data Quality Assessment ◽  
Editorial Special Issue

Telephone versus Online Survey Modes for Election Studies: Comparing Canadian Public Opinion and Vote Choice in the 2015 Federal Election

2017 ◽  
Vol 50 (4) ◽  
pp. 1005-1036 ◽  
Author(s):  
Charles Breton ◽  
Fred Cutler ◽  
Sarah Lachance ◽  
Alex Mierke-Zatwarnicki
Keyword(s):  
Data Quality ◽  
Mixed Mode ◽  
Online Survey ◽  
Vote Choice ◽  
Election Study ◽  
Online Mode ◽  
Mode Design ◽  
Comprehensive Comparison ◽  
The Cost ◽  
Election Studies

AbstractElection studies must optimize on sample size, cost and data quality. The 2015 Canadian Election Study was the first CES to employ a full mixed-mode design, aiming to take advantage of the opportunities of each mode while preserving enough commonality to compare them. This paper examines the phone interviews conducted by ISR-York and the online questionnaires from panellists purchased from a sample provider. We compare data quality and representativeness. We conduct a comprehensive comparison of the distributions of responses across modes and a comparative analysis of inferences about voting. We find that the cost/power advantages of the online mode will likely make it the mode of choice for subsequent election studies.

scholarly journals Design, Implementation and Management of an International Medical Device Registry

2021 ◽  
Author(s):  
Herbert Mauch ◽  
Jasmin Kaur ◽  
Colin Irwin ◽  
Josie Wyss
Keyword(s):  
Data Quality ◽  
Medical Device ◽  
Data Entry ◽  
Easy Access ◽  
Clinical Routine ◽  
International Registry ◽  
Site Monitoring ◽  
Patient Reported ◽  
Measurement Tools ◽  
The Cost

Abstract Background Registries are powerful clinical investigational tools. More challenging, however, is an international registry conducted by industry. That requires considerable planning, clear objectives and endpoints, resources and appropriate measurement tools. Methods This paper aims to summarize our learning from ten years of running a medical device registry monitoring patient-reported benefits from hearing implants. Results We enlisted 113 participating clinics globally, resulting in a total enrolment of more than 1500 hearing-implant users. We identify the stages in developing a registry specific to a sensory handicap such as hearing loss, its challenges and successes in design and implementation, and recommendations for future registries. Conclusions Data collection infrastructure needs to be maintained up to date throughout the defined registry lifetime and provide adequate oversight of data quality and completeness. Compliance at registry sites is important for data quality and needs to be weighed against the cost of site monitoring. To motivate sites to provide accurate and timely data entry we facilitated easy access to their own data which helped to support their clinical routine. Trial registration: ClinicalTrials.gov NCT02004353

scholarly journals A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems - With application to wastewater treatment plants

2020 ◽  
Author(s):  
Kris Villez ◽  
Peter A Vanrolleghem ◽  
lluis corominas
Keyword(s):  
Data Quality ◽  
High Speed ◽  
Wastewater Treatment Plants ◽  
Low Cost ◽  
Sensor Placement ◽  
General Purpose ◽  
Optimal Placement ◽  
Pareto Optimal ◽  
Placement Problem ◽  
The Cost

The advent of affordable computing, low-cost sensor hardware, and high-speed and reliable communications have spurred ubiquitous installation of sensors in complex engineered systems. However, ensuring reliable data quality remains a challenge. Exploitation of redundancy among sensor signals can help improving the precision of measured variables, detecting the presence of gross errors, and identifying faulty sensors. The cost of sensor ownership, maintenance efforts in particular, can still be cost-prohibitive however. Maximizing the ability to assess and control data quality while minimizing the cost of ownership thus requires a careful sensor placement. To solve this challenge, we develop a generally applicable method to solve the multi-objective sensor placement problem in systems governed by linear and bilinear balance equations. Importantly, the method computes all Pareto-optimal sensor layouts with conventional computational resources and requires no information about the expected sensor quality.

scholarly journals 3-D Land Seismic Acquisition in Saudi Arabia

GeoArabia ◽  
1996 ◽  
Vol 1 (4) ◽  
pp. 511-528
Author(s):  
Richard Hastings-James ◽  
Kamal M. Al-Yahya
Keyword(s):  
Saudi Arabia ◽  
Cost Effectiveness ◽  
Data Quality ◽  
Seismic Data ◽  
Sampling Strategy ◽  
Source Point ◽  
Universal Approach ◽  
Saudi Aramco ◽  
Seismic Acquisition ◽  
The Cost

ABSTRACT Between 1991 and 1996, Saudi Aramco has acquired more than 8,500 square kilometers of 3-D seismic data in Saudi Arabia. During this time, a universal approach to 3-D acquisition has been developed. The resulting acquisition schemes use a dense source point grid with a low sweep effort per source point, and a high number of recorded channels distributed over a large surface aperture. This sampling strategy results in high fold data. Cost-effectiveness is achieved by ensuring that the source and receiver effort are balanced. Comparisons have shown that increases in surface aperture and fold, cross-line fold in particular, improve the data quality significantly at a marginal increase in cost. The cost per unit of data is made significantly lower even if the cost per unit of time may increase.

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