scholarly journals Getting High Quality Data to Drive Programs: How is the Quality of the Data Collection System Associated with the Quality of Routine Health Data in Malawi?

2017 ◽  
Vol 83 (1) ◽  
pp. 5
Author(s):  
R. O'Hagan ◽  
M. Marx ◽  
K. Finnegan ◽  
P. Naphini ◽  
K. Ng'ambi ◽  
...  
Keyword(s):  
Data Collection ◽  
Health Data ◽  
Quality Data ◽  
Collection System ◽  
High Quality ◽  
High Quality Data ◽  
Data Collection System

Collecting High-Quality Data

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Measurement Errors ◽  
Monitoring And Evaluation ◽  
Quality Data ◽  
Social Desirability Bias ◽  
High Quality ◽  
High Quality Data ◽  
Evaluation Systems ◽  
Demand Effect

Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

scholarly journals Information Explanatory Applications in Street Activity Security – A Survey

2020 ◽  
pp. 81-83
Author(s):  
Samsudeen S ◽  
Salomi M
Keyword(s):  
Data Collection ◽  
Path Selection ◽  
Data Sources ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
Start Up ◽  
Improvement Strategies ◽  
Paper Survey

The paper survey helps to diminish the start-up complex of knowledge assortment and clear analytics for factual modeling & course improvement for probability connected by engine vehicles. We tend to seem that the writing is isolated into 2 totally different inquire concerning areas: (a) discerning/illustrative methods which endeavor in order to urge it and assess clatter hazard supported distinctive powerful conditions, and (b) improvement strategies which center by minimizing clatter probability by route, path-selection and break design. Interpretation based on inquire concerning results of the 2 streams are restricted to beat the problem that tends to show freely accessible high-quality data sources (diverse take into account plans, result factors, and indicator factors) and communicative instructive strategies (information summarization, visualization, and measuring decrease) which are used for understanding safer-routing and provides code to encourage data collection/exploration by practitioners/res

scholarly journals Answering the Min-Cost Quality-Aware Query on Multi-Sources in Sensor-Cloud Systems

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4486 ◽  
Author(s):  
Mohan Li ◽  
Yanbin Sun ◽  
Yu Jiang ◽  
Zhihong Tian
Keyword(s):  
Low Cost ◽  
Real Life ◽  
Quality Data ◽  
Parameter Setting ◽  
Multiple Sources ◽  
High Quality ◽  
High Quality Data ◽  
Real Life Data ◽  
Sensor Cloud

In sensor-based systems, the data of an object is often provided by multiple sources. Since the data quality of these sources might be different, when querying the observations, it is necessary to carefully select the sources to make sure that high quality data is accessed. A solution is to perform a quality evaluation in the cloud and select a set of high-quality, low-cost data sources (i.e., sensors or small sensor networks) that can answer queries. This paper studies the problem of min-cost quality-aware query which aims to find high quality results from multi-sources with the minimized cost. The measurement of the query results is provided, and two methods for answering min-cost quality-aware query are proposed. How to get a reasonable parameter setting is also discussed. Experiments on real-life data verify that the proposed techniques are efficient and effective.

A Mobile Health Data Collection System for Remote Areas to Monitor Women Participating in a Cervical Cancer Screening Campaign

2018 ◽  
Vol 24 (4) ◽  
pp. 277-282 ◽  
Author(s):  
Kelly Quercia ◽  
Phuong Lien Tran ◽  
Jéromine Jinoro ◽  
Joséa Lea Herniainasolo ◽  
Manuela Viviano ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Screening ◽  
Data Collection ◽  
Cervical Cancer Screening ◽  
Mobile Health ◽  
Health Data ◽  
Collection System ◽  
Data Collection System ◽  
Remote Areas

scholarly journals Application of Blockchain-Based Sports Health Data Collection System in the Development of Sports Industry

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Song Yu
Keyword(s):  
Data Collection ◽  
Health Data ◽  
Collection System ◽  
Accuracy Rate ◽  
Single Node ◽  
Data Collection System ◽  
Sports Industry ◽  
Digital Currency ◽  
Blockchain Technology ◽  
Extensive Practice

In recent years, with the continuous development of blockchain technology and the prosperity of digital currency, various industries have carried out extensive practice around the application of blockchain technology, such as my country’s sports industry. Through the measurement and collection of athletes’ health and exercise information, the athlete’s exercise volume and exercise level can be quantitatively evaluated. Blockchain technology provides a new opportunity for the development of the sports industry. The characteristics of the decentralization, security, credibility, and traceability of the data collection system are highly compatible with the development of the sports industry. In order to develop and expand the sports industry and scientifically evaluate the physical fitness of athletes, this research focuses on the blockchain-based sports health data collection system in the sports industry. This article adopts the accuracy index and the formula of data return and conducts demand analysis, accuracy, and recall analysis of the health data collection system. The research conclusion of this paper is that when using sensors to collect sports health data, the data collection of sensors located on the arm is more accurate, with an accuracy rate of over 90%, and the collection effect of multinode sensors is higher than that of single-node sensors. The collection of sports health data is beneficial to the training of athletes and the development of the sports industry to meet the growing demand for sports health. Our country’s sports industry will also develop with the application of blockchain.

scholarly journals ZOO: an automatic data-collection system for high-throughput structure analysis in protein microcrystallography

2019 ◽  
Vol 75 (2) ◽  
pp. 138-150 ◽  
Author(s):  
Kunio Hirata ◽  
Keitaro Yamashita ◽  
Go Ueno ◽  
Yoshiaki Kawano ◽  
Kazuya Hasegawa ◽  
...  
Keyword(s):  
Data Collection ◽  
Structural Information ◽  
Protein Crystal ◽  
Quality Data ◽  
Collection System ◽  
Automated Data Collection ◽  
Automatic Data ◽  
Data Collection System ◽  
Automatic Data Collection ◽  
Processing Techniques

Owing to the development of brilliant microfocus beamlines, rapid-readout detectors and sample changers, protein microcrystallography is rapidly becoming a popular technique for accessing structural information from complex biological samples. However, the method is time-consuming and labor-intensive and requires technical expertise to obtain high-resolution protein crystal structures. At SPring-8, an automated data-collection system named ZOO has been developed. This system enables faster data collection, facilitates advanced data-collection and data-processing techniques, and permits the collection of higher quality data. In this paper, the key features of the functionality put in place on the SPring-8 microbeam beamline BL32XU are described and the major advantages of this system are outlined. The ZOO system will be a major driving force in the evolution of the macromolecular crystallography beamlines at SPring-8.

A fibre-based crystal mounting technique for protein cryocrystallography

2012 ◽  
Vol 45 (2) ◽  
pp. 362-366 ◽  
Author(s):  
Michihiro Sugahara
Keyword(s):  
Data Collection ◽  
Success Rate ◽  
Single Crystals ◽  
Conventional Technique ◽  
Synthetic Zeolite ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
X Ray ◽  
Loop Technique

The CryoFibre, a crystal mounting tool, has been developed for protein cryocrystallography. The technique attaches single crystals to the tips of polyester fibres, allowing removal of excess liquid around each crystal. Single-wavelength anomalous dispersion phasing using a Cu Kα X-ray source (Cu SAD) was applied to crystals from five proteins without any derivatization, demonstrating a clear improvement in the success rate of Cu SAD compared with the conventional loop technique. In addition, a xylanase crystal on the surface of a synthetic zeolite as a hetero-epitaxic nucleant was directly mounted on the CryoFibre without separation treatment of the crystal from the zeolite. The crystal had a lower mosaicity than that observed using the conventional technique, indicating that the fibre technique is suitable for high-quality data collection from zeolite-mediated crystals.

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