Rich Data Controls

2010 ◽  
pp. 401-474
Author(s):  
Matthew MacDonald ◽  
Dan Mabbutt ◽  
Adam Freeman
Keyword(s):  
Rich Data

Turning data into reality

2018 ◽  
Author(s):  
S Leinster-Evans ◽  
J Newell ◽  
S Luck
Keyword(s):  
Virtual Reality ◽  
Mixed Reality ◽  
Training System ◽  
Value Proposition ◽  
Immersive Environments ◽  
Training Environment ◽  
Service Support ◽  
Rich Data ◽  
And Training

This paper looks to expand on the INEC 2016 paper ‘The future role of virtual reality within warship support solutions for the Queen Elizabeth Class aircraft carriers’ presented by Ross Basketter, Craig Birchmore and Abbi Fisher from BAE Systems in May 2016 and the EAAW VII paper ‘Testing the boundaries of virtual reality within ship support’ presented by John Newell from BAE Systems and Simon Luck from BMT DSL in June 2017. BAE Systems and BMT have developed a 3D walkthrough training system that supports the teams working closely with the QEC Aircraft Carriers in Portsmouth and this work was presented at EAAW VII. Since then this work has been extended to demonstrate the art of the possible on Type 26. This latter piece of work is designed to explore the role of 3D immersive environments in the development and fielding of support and training solutions, across the range of support disciplines. The combined team are looking at how this digital thread leads from design of platforms, both surface and subsurface, through build into in-service support and training. This rich data and ways in which it could be used in the whole lifecycle of the ship, from design and development (used for spatial acceptance, HazID, etc) all the way through to operational support and maintenance (in conjunction with big data coming off from the ship coupled with digital tech docs for maintenance procedures) using constantly developing technologies such as 3D, Virtual Reality, Augmented Reality and Mixed Reality, will be proposed.  The drive towards gamification in the training environment to keep younger recruits interested and shortening course lengths will be explored. The paper develops the options and looks to how this technology can be used and where the value proposition lies. 

Voters and Voting in Context

2017 ◽  
Author(s):  
Harald Schoen ◽  
Sigrid Roßteutscher ◽  
Rüdiger Schmitt-Beck ◽  
Bernhard Weßels ◽  
Christof Wolf
Keyword(s):  
Voting Behavior ◽  
Contextual Effects ◽  
First Century ◽  
Sources Of Information ◽  
Opinion Formation ◽  
Contextual Features ◽  
Early Twenty ◽  
Methodological Approaches ◽  
Rich Data ◽  
Theoretical Issues

After a brief review of the scholarly discussion about the idea that context affects political behavior, this chapter proposes a model for the analysis of contextual effects on opinion formation and voting behavior. It highlights theoretical issues in the interplay of various contextual features and voter predispositions in bringing about contextual effects on voters. This model guides the analyses of contextual effects on voter behavior in Germany in the early twenty-first century. These analyses draw on rich data from multiple voter surveys and various sources of information about contextual features. The chapter also gives an overview of different methodological approaches and challenges in the analysis of contextual effects on voting behavior.

scholarly journals Costing interventions in the field: preliminary cost estimates and lessons learned from an evaluation of community-wide mass drug administration for elimination of soil-transmitted helminths in the DeWorm3 trial

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049734
Author(s):  
Katya Galactionova ◽  
Maitreyi Sahu ◽  
Samuel Paul Gideon ◽  
Saravanakumar Puthupalayam Kaliappan ◽  
Chloe Morozoff ◽  
...  
Keyword(s):  
Data Collection ◽  
Drug Administration ◽  
Financial Reporting ◽  
Mass Drug Administration ◽  
Lessons Learned ◽  
Secondary Outcome ◽  
Data Quality Control ◽  
Soil Transmitted Helminths ◽  
Trade Offs ◽  
Rich Data

ObjectiveTo present a costing study integrated within the DeWorm3 multi-country field trial of community-wide mass drug administration (cMDA) for elimination of soil-transmitted helminths.DesignTailored data collection instruments covering resource use, expenditure and operational details were developed for each site. These were populated alongside field activities by on-site staff. Data quality control and validation processes were established. Programmed routines were used to clean, standardise and analyse data to derive costs of cMDA and supportive activities.SettingField site and collaborating research institutions.Primary and secondary outcome measuresA strategy for costing interventions in parallel with field activities was discussed. Interim estimates of cMDA costs obtained with the strategy were presented for one of the trial sites.ResultsThe study demonstrated that it was both feasible and advantageous to collect data alongside field activities. Practical decisions on implementing the strategy and the trade-offs involved varied by site; trialists and local partners were key to tailoring data collection to the technical and operational realities in the field. The strategy capitalised on the established processes for routine financial reporting at sites, benefitted from high recall and gathered operational insight that facilitated interpretation of the estimates derived. The methodology produced granular costs that aligned with the literature and allowed exploration of relevant scenarios. In the first year of the trial, net of drugs, the incremental financial cost of extending deworming of school-aged children to the whole community in India site averaged US$1.14 (USD, 2018) per person per round. A hypothesised at-scale routine implementation scenario yielded a much lower estimate of US$0.11 per person treated per round.ConclusionsWe showed that costing interventions alongside field activities offers unique opportunities for collecting rich data to inform policy toward optimising health interventions and for facilitating transfer of economic evidence from the field to the programme.Trial registration numberNCT03014167; Pre-results.

scholarly journals Teaching Sustainable Responsibility through Informal Undergraduate Design Education

2021 ◽  
Vol 13 (15) ◽  
pp. 8378
Author(s):  
Louise R. Manfredi ◽  
Meriel Stokoe ◽  
Rebecca Kelly ◽  
Seyeon Lee
Keyword(s):  
Design Education ◽  
Sustainability Education ◽  
Focus Group Study ◽  
Formal Curriculum ◽  
Informal Curriculum ◽  
Exchange Program ◽  
Sustainability Literacy ◽  
Material Conservation ◽  
Rich Data ◽  
The University

Recent reports, initiatives, and activities around higher education institutions revealed the relevance and value of sustainability education through both formal curriculum and informal curriculum activities. While the significance of sustainability education has continuously improved by raising awareness among new generations of students, it has not adequately promoted pro-environmental behaviors or attitude changes. This research study used a linear pretest–posttest experimental approach to understand whether two codesigned interventions; a trash and recycling bin system, and a Materials Exchange program, could improve sustainability literacy and material conservation behaviors across the School of Design. Additionally, a mid-experiment focus group study was conducted to provide text-rich data for analysis of 3R behaviors. Analysis of the data collected revealed that these interventions were reasonably successful in improving responsible material management. To have a greater impact on sustainable behavior, it is suggested that a formal educational experience should supplement the informal interventions described in this paper to onboard students as they enter the design studio culture. Additionally, the expansion of the trash and recycling bin station system into the university dormitories is discussed. This work has successfully catalyzed a collaboration between all School of Design stakeholders to address studio waste in a tangible way.

scholarly journals Feasibility of Race by Sex Intersectionality Research on Suicidality in the Adolescent Brain Cognitive Development (ABCD) Study

Children ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 437
Author(s):  
Shervin Assari ◽  
Shanika Boyce ◽  
Mohsen Bazargan
Keyword(s):  
Cognitive Development ◽  
Sample Size ◽  
Child Behavior Checklist ◽  
Reliability And Validity ◽  
Self Report ◽  
Large Sample Size ◽  
Cross Sectional ◽  
Cronbach Alpha ◽  
Rich Data ◽  
Suicidal Ideas

Intersectional research on childhood suicidality requires studies with a reliable and valid measure of suicidality, as well as a large sample size that shows some variability of suicidality across sex by race intersectional groups. Objectives: We aimed to investigate the feasibility of intersectionality research on childhood suicidality in the Adolescent Brain Cognitive Development (ABCD) study. We specifically explored the reliability and validity of the measure, sample size, and variability of suicidality across sex by race intersectional groups. Methods: We used cross-sectional data (wave 1) from the ABCD study, which sampled 9013 non-Hispanic white (NHW) or non-Hispanic black (NHB) children between the ages of 9 and 10 between years 2016 and 2018. Four intersectional groups were built based on race and sex: NHW males (n = 3554), NHW females (n = 3158), NHB males (n = 1164), and NHB females (n = 1137). Outcome measure was the count of suicidality symptoms, reflecting all positive history and symptoms of suicidal ideas, plans, and attempts. To validate our measure, we tested the correlation between our suicidality measure and depression and Child Behavior Checklist (CBCL) sub-scores. Cronbach alpha was calculated for reliability across each intersectional group. We also compared groups for suicidality. Results: We observed some suicidality history in observed 3.2% (n = 101) of NHW females, 4.9% (n = 175) of NHW males, 5.4% (n = 61) of NHB females, and 5.8% (n = 68) of NHB males. Our measure’s reliability was acceptable in all race by sex groups (Cronbach alpha higher than .70+ in all intersectional groups). Our measure was valid in all intersectional groups, documented by a positive correlation with depression and CBCL sub-scores. We could successfully model suicidality across sex by race groups, using multivariable models. Conclusion: Given the high sample size, reliability, and validity of the suicidality measure, variability of suicidality, it is feasible to investigate correlates of suicidality across race by sex intersections in the ABCD study. We also found evidence of higher suicidality in NHB than NHW children in the ABCD study. The ABCD rich data in domains of social context, self-report, schools, parenting, psychopathology, personality, and brain imaging provides a unique opportunity to study intersectional differences in neural circuits associated with youth suicidality.

scholarly journals Self-coding: A method to assess semantic validity and bias when coding open-ended responses

2021 ◽  
Vol 8 (3) ◽  
pp. 205316802110317
Author(s):  
Rebecca A. Glazier ◽  
Amber E. Boydstun ◽  
Jessica T. Feezell
Keyword(s):  
Content Analysis ◽  
The Self ◽  
Bad Faith ◽  
Simple Method ◽  
Demographic Groups ◽  
Survey Questions ◽  
Coding Method ◽  
Significant Disagreement ◽  
Rich Data ◽  
Semantic Validity

Open-ended survey questions can provide researchers with nuanced and rich data, but content analysis is subject to misinterpretation and can introduce bias into subsequent analysis. We present a simple method to improve the semantic validity of a codebook and test for bias: a “self-coding” method where respondents first provide open-ended responses and then self-code those responses into categories. We demonstrated this method by comparing respondents’ self-coding to researcher-based coding using an established codebook. Our analysis showed significant disagreement between the codebook’s assigned categorizations of responses and respondents’ self-codes. Moreover, this technique uncovered instances where researcher-based coding disproportionately misrepresented the views of certain demographic groups. We propose using the self-coding method to iteratively improve codebooks, identify bad-faith respondents, and, perhaps, to replace researcher-based content analysis.

FoodScrap: Promoting Rich Data Capture and Reflective Food Journaling Through Speech Input

2021 ◽  
Author(s):  
Yuhan Luo ◽  
Young-Ho Kim ◽  
Bongshin Lee ◽  
Naeemul Hassan ◽  
Eun Kyoung Choe
Keyword(s):  
Data Capture ◽  
Speech Input ◽  
Rich Data ◽  
Food Journaling

scholarly journals Tianxia120: A Multimodal Medical Data Collection Bioinformatic System for Proactive Health Management in Internet of Medical Things

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zihan Jiao ◽  
Yindong Xiao ◽  
Yanmei Jin ◽  
Xinyu Chen ◽  
Xiwei Huang
Keyword(s):  
Health Management ◽  
Cold Chain ◽  
Passive Mode ◽  
Electronic Prescription ◽  
One Step ◽  
Internet Of Medical Things ◽  
Medical Health ◽  
Rich Data ◽  
Medical Disciplines ◽  
Medical Data Collection

A digital medical health system named Tianxia120 that can provide patients and hospitals with “one-step service” is proposed in this paper. Evolving from the techniques of Internet of Medical Things (IoMT), medical dig data, and medical Artificial Intelligence, the system can systematically promote the change of service status between doctors and patients from “passive mode” to “proactive mode” and realize online service that is similar to offline medical treatment scenarios. The system consists of a patient terminal and a doctor terminal. They can perform online inquiry (through graphic, voice, telephone, video, etc.), electronic prescription, multiparameter self-diagnosis, cold chain logistics, medicine distribution, etc. The system can provide rich medical health information, medical tools browsing, and health care big data aggregation processing functions. Compared with the traditional medical system, this system has the characteristics of full function, rich data, and high security. It is expected to be applied to hospital applications and medical research to promote the construction and innovation of clinical medical disciplines.

8 Years of institutional assessment feedback: students’ satisfaction with library services

2017 ◽  
Vol 45 (4) ◽  
pp. 544-561
Author(s):  
Monica D.T. Rysavy ◽  
Russell Michalak ◽  
Alison Wessel
Keyword(s):  
Student Satisfaction ◽  
Undergraduate Students ◽  
Instructional Materials ◽  
Satisfaction Survey ◽  
Library Services ◽  
Content Type ◽  
Assessment Feedback ◽  
Online Databases ◽  
Rich Data ◽  
Strongly Agree

Purpose The purpose of this paper is to examine eight years of quantitative and qualitative student feedback on library services collected through an institution-wide student satisfaction survey. Design/methodology/approach This paper utilizes data collected during an eight-year period from the college’s student satisfaction survey. This survey contained 40 questions which addressed topics concerning the college’s 13 major departments. Six of the questions were devoted to library services. Findings Over the eight years surveyed, across all divisions surveyed (undergraduate students, graduate students and graduate Saturday students), students on average tended to select “agree” or “strongly agree” with the following six questions asked: The materials in the library meet my course requirements. The library has enough laptop computers for student use. The instructional materials for using the online databases are helpful. The library hours match my schedule and needs. The library equipment is in good working order. The library is generally quiet and suitable for study. Originality/value This institutionally crafted, mixed methods survey was deployed over an eight-year period at a relatively minimal cost (in-house staff hours were used to analyze the data gathered and paper Scantron sheets were used to deploy). Furthermore, rich data were gathered from a relatively simple instrument and this information was used to make institution-wide decisions.

scholarly journals Environmental Health Risks and Housing Values: Evidence from 1,600 Toxic Plant Openings and Closings

2015 ◽  
Vol 105 (2) ◽  
pp. 678-709 ◽  
Author(s):  
Janet Currie ◽  
Lucas Davis ◽  
Michael Greenstone ◽  
Reed Walker
Keyword(s):  
Low Birthweight ◽  
Infant Health ◽  
Housing Markets ◽  
Housing Values ◽  
Regulatory Oversight ◽  
Industrial Plants ◽  
Toxic Emissions ◽  
Environmental Health Risks ◽  
Rich Data ◽  
Toxic Plant

Regulatory oversight of toxic emissions from industrial plants and understanding about these emissions' impacts are in their infancy. Applying a research design based on the openings and closings of 1,600 industrial plants to rich data on housing markets and infant health, we find that: toxic air emissions affect air quality only within 1 mile of the plant; plant openings lead to 11 percent declines in housing values within 0.5 mile or a loss of about $4.25 million for these households; and a plant's operation is associated with a roughly 3 percent increase in the probability of low birthweight within 1 mile. (JEL I12, L60, Q52, Q53, Q58, R23, R31)

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