scholarly journals Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments

2014 ◽  
Vol 14 (10) ◽  
pp. 2681-2698 ◽  
Author(s):  
V. J. Cortes Arevalo ◽  
M. Charrière ◽  
G. Bossi ◽  
S. Frigerio ◽  
L. Schenato ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Mobile Applications ◽  
Rating Scales ◽  
Hydraulic Structures ◽  
Future Research ◽  
Civil Protection ◽  
Learning Session ◽  
Learning Group ◽  
Collection Methods

Abstract. Volunteers have been trained to perform first-level inspections of hydraulic structures within campaigns promoted by civil protection of Friuli Venezia Giulia (Italy). Two inspection forms and a learning session were prepared to standardize data collection on the functional status of bridges and check dams. In all, 11 technicians and 25 volunteers inspected a maximum of six structures in Pontebba, a mountain community within the Fella Basin. Volunteers included civil-protection volunteers, geosciences and social sciences students. Some participants carried out the inspection without attending the learning session. Thus, we used the mode of technicians in the learning group to distinguish accuracy levels between volunteers and technicians. Data quality was assessed by their accuracy, precision and completeness. We assigned ordinal scores to the rating scales in order to get an indication of the structure status. We also considered performance and feedback of participants to identify corrective actions in survey procedures. Results showed that volunteers could perform comparably to technicians, but only with a given range in precision. However, a completeness ratio (question/parameter) was still needed any time volunteers used unspecified options. Then, volunteers' ratings could be considered as preliminary assessments without replacing other procedures. Future research should consider advantages of mobile applications for data-collection methods.

scholarly journals Evaluating quality of data collected by volunteers for first level inspection of hydraulic structures in mountain catchments

2014 ◽  
Vol 2 (5) ◽  
pp. 3577-3614
Author(s):  
V. J. Cortes Arevalo ◽  
M. Charrière ◽  
G. Bossi ◽  
S. Frigerio ◽  
L. Schenato ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Hydraulic Structures ◽  
Future Research ◽  
Quality Of Data ◽  
Preliminary Assessment ◽  
Learning Session ◽  
Learning Group ◽  
Parameter Ratio ◽  
Comparable Performance

Abstract. Volunteers have been trained to perform first level inspections of hydraulic structures within campaigns promoted by Civil Protection of Friuli Venezia Giulia (Italy). Two inspection forms and a learning session were prepared to standardize data collection on the functional status of bridges and check dams. Six structures were inspected by technicians and volunteers. Some participants carried out the inspection without attending the learning session. Thus, we used the mode of technicians in the learning group to distinguish different accuracy levels between volunteers and technicians. Quality of collected data was assessed by their accuracy, precision and completeness. We assigned ordinal scores to the ratings scales in the form for getting indication of the structure status. We also considered performance and feedback of participants to identify corrective actions in survey procedures. Results showed that volunteers could carry out inspections with comparable performance to technicians but with a given range in precision. However, indication of completeness per parameter (ratio Question/Parameter) is still needed for the later examination of inspections, anytime volunteers use unspecified options. Then, volunteers' ratings could be considered as preliminary assessment without replacing other procedures. Future research should consider advantages of mobile applications for the quality of data collected with volunteers.

Large-Scale Research via App Stores

2015 ◽  
pp. 269-292
Author(s):  
Matthias Kranz ◽  
Andreas Möller ◽  
Florian Michahelles
Keyword(s):  
Data Collection ◽  
Human Computer Interaction ◽  
Real World ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile App ◽  
Lessons Learned ◽  
Conducting Research ◽  
Collection Methods

Large-scale research has gained momentum in the context of Mobile Human-Computer Interaction (Mobile HCI), as many aspects of mobile app usage can only be evaluated in the real world. In this chapter, we present findings on the challenges of research in the large via app stores, in conjunction with selected data collection methods (logging, self-reporting) we identified and have proven as useful in our research. As a case study, we investigated the adoption of NFC technology, based on a gamification approach. We therefore describe the development of the game NFC Heroes involving two release cycles. We conclude with lessons learned and provide recommendations for conducting research in the large for mobile applications.

A Systematic Review of State Vocational Rehabilitation Agency-Based Literature

2017 ◽  
Vol 31 (4) ◽  
pp. 352-371 ◽  
Author(s):  
Heike Boeltzig-Brown ◽  
Allison R. Fleming ◽  
Miriam Heyman ◽  
Martha Gauthier ◽  
Julisa Cully ◽  
...  
Keyword(s):  
Systematic Review ◽  
Data Collection ◽  
Vocational Rehabilitation ◽  
Future Research ◽  
Program Outcomes ◽  
Data Collection Methods ◽  
Wide Range ◽  
Rehabilitation Services Administration ◽  
Rehabilitation Agency ◽  
Collection Methods

Purpose:To conduct a systematic review (SR) of 550 studies produced between 1970 and 2008 that focus on programs and/or services provided by state vocational rehabilitation (VR) agencies believed to impact client and/or program outcomes.Method:Authors used a 5-step SR protocol to evaluate and summarize study content and outcomes, study design, and data collection methods.Results:Results indicate that the VR research base is highly varied in terms of the research focus with respect to programs and services, populations, and outcomes and that it spans across a wide range of research designs and data collection methods.Conclusions:The majority of the studies included in this review relied on administrative data, particularly Rehabilitation Services Administration data, and surveys. Only a small number of studies employed some type of experimental design, suggesting a lack of application of this type of research design. Implications and recommendations for future research are discussed.

scholarly journals Modular designed Apps – an opportunity to standardize data collection methods and to encourage the reuse of software

2021 ◽  
Author(s):  
Sina C. Truckenbrodt ◽  
Maximilian Enderling ◽  
Carsten Pathe ◽  
Erik Borg ◽  
Christiane C. Schmullius ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Open Source ◽  
Open Source Software ◽  
Research Question ◽  
Arable Land ◽  
Forest Monitoring ◽  
Data Collection Methods ◽  
Collection Methods ◽  
Quality Recording

<p>Data collection strategies vary among different citizen science projects. This complicates the intercomparability of parameter values acquired in different studies (e.g., methodological and scale issues) and results in variable data quality. This creates problems regarding the merging of different data sets and hampers the reuse of data from different projects. Modular designed applications for mobile devices (Apps) represent a framework that helps to foster the standardisation of data collection methods. While they encourage the reuse of the software, they provide enough flexibility for an adjustment in accordance with the research question(s) of interest.</p><p>The currently developed App “FieldMApp” offers such a framework running under Android and iOS. The related concept includes predefined frame functionalities, like settings for the user account and the user interface, and adaptable application-related functionalities. The latter comprise several modules that are categorized as sensor test, basic functionality, parameter collection and data quality collection modules. The interdependencies of these modules are documented in a wiki. This enables an individual and context-based selection of functionalities. The FieldMApp is based on open-source software libraries (Xamarin, Open Development Kit (ODK), SQLite, CoreCLR-NCalc, LusoV.YamarinUsbSerialForAndroid, Newtonsoft.Json, SharpZipLib) and will be published as open-source software. Hence, the existing catalogue of functionalities can be augmented in the future. The premise for such extensions is that modules are published together with smart, universally applicable data quality recording routines and a proper documentation in the wiki.</p><p>In this contribution, we present the concept and the structure of the FieldMApp and some current fields of application that are related to the cultivation of arable land, soil mapping, forest monitoring, and Earth Observation. The extension of the functionality catalogue is exemplified by the newly implemented speech recognition module. A related quality recording routine will be introduced. With this contribution we would like to encourage citizens and scientists to elicit which requirements such an App should fulfil from their point of view.</p>

Reducing food waste: an exploration of a campus restaurant

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michelle R. Alcorn ◽  
Daniel Vega ◽  
Ryan Irvin ◽  
Paola Paez
Keyword(s):  
Data Collection ◽  
Food Waste ◽  
Tracking System ◽  
Waste Reduction ◽  
Future Research ◽  
Exploratory Research ◽  
University Campus ◽  
Content Type ◽  
Reduction Strategies ◽  
Collection Methods

PurposeAs exploratory research, this project aimed to develop and assess the effect of implementing a food waste reduction program at a restaurant on a university campus.Design/methodology/approachData collection consisted of an audit of both pre and postconsumer food waste to determine the effectiveness of various reduction strategies and a survey to assess attitudes of employees toward food waste. As exploratory research, a personalized database was created to track current food waste amounts and reasons for waste in the restaurant operation to determine if the same method could be employed in future research.FindingsOverall, the restaurant in this study implemented various effective food waste reduction practices that were inexpensive and simple, resulting in a weekly average reduction of 14.3 pounds of food waste. The top five food item products wasted by the kitchen were also identified for both pre and postintervention phases as well as the reasons for generating kitchen waste. Furthermore, data reported on postconsumer waste included weight quantities and product types.Originality/valueThe project resulted in evidence that a personalized food tracking system is useful for identifying and quantifying food waste in foodservice operations. Therefore, the research design and data collection methods used in this project can be used in future research on a larger scale.

scholarly journals Technological Innovations in Data Collection: Acceptance, Data Quality and Costs

1996 ◽  
Vol 1 (4) ◽  
pp. 23-37 ◽  
Author(s):  
Edith de Leeuw ◽  
William Nicholls
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Computer Assisted ◽  
New Techniques ◽  
Data Collection Methods ◽  
Electronic Reporting ◽  
Research Organizations ◽  
Survey Costs ◽  
Professional Research ◽  
Collection Methods

Whether computer assisted data collection methods should be used for survey data collection is no longer an issue. Most professional research organizations, commercial, government and academic, are adopting these new methods with enthusiasm. Computer assisted telephone interviewing (CATI) is most prevalent, and computer assisted personal interviewing (CAPI) is rapidly gaining in popularity. Also, new forms of electronic reporting of data using computers, telephones and voice recognition technology are emerging. This paper begins with a taxonomy of current computer assisted data collection methods. It then reviews conceptual and theoretical arguments and empirical evidence on such topics as: (1) respondents and interviewer acceptance of new techniques, (2) effect of computer assisted interviewing on data quality, (3) consequences for survey costs and (4) centralized vs. decentralized deployment of CATI.

scholarly journals A review of research methodologies used in studies on mobile handheld devices in K-12 and higher education settings

2009 ◽  
Vol 25 (2) ◽  
Author(s):  
Wing Sum Cheung ◽  
Khe Foon Hew
Keyword(s):  
Higher Education ◽  
Data Collection ◽  
Mobile Phones ◽  
Empirical Studies ◽  
Handheld Devices ◽  
Personal Digital Assistants ◽  
Future Research ◽  
Research Topics ◽  
K 12 ◽  
Collection Methods

<blockquote>Mobile handheld devices are increasingly being used in education. In this paper, we undertook a review of empirical based articles to summarise the current research regarding the use of mobile handheld devices (personal digital assistants/PDAs, palmtops, and mobile phones) in K-12 and higher education settings. This review was guided by the following four questions: (a) How are mobile handheld devices such as PDAs, palmtops, and mobile phones used by students and teachers? (b) What types of research methods have been applied using such devices? (c) What data collection methods are used in the research? and (d) What research topics have been conducted on these handheld devices in education settings, as well as their related findings? We summarise and discuss some major findings from the research, as well as several limitations of previous empirical studies. We conclude by providing some recommendations for future research related to mobile handheld devices in education settings.</blockquote><p> </p>

Accessible Tourism Experiences in Smart Destinations

2022 ◽  
pp. 274-300
Author(s):  
Fatih Ercan
Keyword(s):  
Virtual Reality ◽  
Data Analysis ◽  
Data Collection ◽  
Mobile Applications ◽  
Document Analysis ◽  
Analysis Technique ◽  
Smart Technologies ◽  
The City ◽  
Collection Methods ◽  
Qualitative Data Collection

Accessible tourism is among the issues that have been emphasized in recent years. Smart technologies which have developed and become widespread nowadays are seen as an important tool in ensuring accessibility in destinations. Today, destinations are trying to improve the tourism experiences of individuals with some form of disability by using smart technologies. This study aims to reveal the current accessible tourism applications in smart destinations with the example of the city of Breda. Data were obtained using the document analysis technique, which is one of the qualitative data collection methods. As a result of the data analysis, it has been determined that technologies such as destination websites, mobile applications, virtual reality are used extensively for accessible transportation and information about the destination in Breda.

Gamification in Market Research

2016 ◽  
pp. 94-107
Author(s):  
Kartik Pashupati ◽  
Pushkala Raman
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Market Research ◽  
Empirical Studies ◽  
Original Study ◽  
Digital Data ◽  
Online Surveys ◽  
Focus On Results ◽  
The Impact ◽  
Collection Methods

This chapter presents an overview of gamification in the domain of market research, with a specific focus on digital data collection methods, such as online surveys. The problems faced by the market research industry are outlined, followed by a discussion of why gamification has been offered as a possible way to overcome some of these challenges. The literature on gamification is reviewed, with a focus on results from empirical studies investigating the impact of gamification on outcome variables such as data quality and respondent engagement. Finally, the authors present results from an original study conducted in 2013, comparing differences between a conventional (text-dominant) survey and a gamified version of the same survey.

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