Relevant bibliographies by topics / Online data collection

Academic literature on the topic 'Online data collection'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Online data collection":

1

Granello, Darcy Haag, and Joe E. Wheaton. "Online Data Collection: Strategies for Research." Journal of Counseling & Development 82, no. 4 (October 2004): 387–93. http://dx.doi.org/10.1002/j.1556-6678.2004.tb00325.x.

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Payne, Jarrod, and Nikki Barnfather. "Online Data Collection in Developing Nations." Social Science Computer Review 30, no. 3 (May 12, 2011): 389–97. http://dx.doi.org/10.1177/0894439311407419.

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Ward, Peter, Taralyn Clark, Ramon Zabriskie, and Trevor Morris. "Paper/Pencil Versus Online Data Collection." Journal of Leisure Research 46, no. 1 (March 2014): 84–105. http://dx.doi.org/10.1080/00222216.2014.11950314.

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Cantrell, Mary Ann, and Paul Lupinacci. "Methodological issues in online data collection." Journal of Advanced Nursing 60, no. 5 (December 2007): 544–49. http://dx.doi.org/10.1111/j.1365-2648.2007.04448.x.

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Reynolds, D'Arcy J., and William B. Stiles. "Online Data Collection for Psychotherapy Process Research." CyberPsychology & Behavior 10, no. 1 (February 2007): 92–99. http://dx.doi.org/10.1089/cpb.2006.9987.

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Wood, Richard T. A., and Mark D. Griffiths. "Online Data Collection From Gamblers: Methodological Issues." International Journal of Mental Health and Addiction 5, no. 2 (February 27, 2007): 151–63. http://dx.doi.org/10.1007/s11469-007-9055-y.

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Sahu, Chinmoy. "Using Webinar Polls to Collect Online Survey Data." International Journal of Information and Communication Technology Education 8, no. 1 (January 2012): 53–62. http://dx.doi.org/10.4018/jicte.2012010106.

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Data collection using respondent surveys is a common methodology used in many research projects. Increasing popularity of e-mail and internet has resulted in most of the modern surveys being carried out using these mediums. Declining response rates call for fresh methods of data collection. As a possible alternative to already popular methods like web-based and email surveys, this paper illustrates the use of webinar sessions to collect relevant data from the participants. The popularity of webinars in recent times throws up a tremendous potential in utilizing it as a data collection tool. The paper illustrates how the polling tool available within the web-conferencing systems can be used in a webinar session to survey respondents’ behavioral patterns. Using a behavioral finance problem, the paper examines an alternative to traditional methods of collecting online survey data. Although the paper uses a behavioral finance context, the findings should equally apply to any other research topic.
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Schlumpf, Heidi, Nina Gaze, Hugh Grenfell, Frances Duff, Kelly Hall, Judith Charles, and Benjamin Mortensen. "Data Detectives - The Backlog Cataloguing Project at Auckland War Memorial Museum." Biodiversity Information Science and Standards 2 (June 15, 2018): e25194. http://dx.doi.org/10.3897/biss.2.25194.

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The Collection Access and Readiness Programme (CARP) is a unique, well-defined programme with committed funding at Auckland War Memorial Museum (AWMM). In the Natural Sciences department, CARP has funded the equivalent of five positions over five collecting areas for four years. These are filled by six part-time collection technicians and a senior full-time manager. As Collection Technicians, our role, across Botany, Entomology, Geology, Marine, and Palaeontology, is to digitise acquisitions prior to December 2012. We are processing the backlogs of our collections, which are prioritised across all museum activities in distinct taxonomic projects. The cataloguing method involves gathering and verifying all available information and entering data into Vernon, our collections management system (https://vernonsystems.com/products/vernon-cms/), with specifically designed record standards aligned to Darwin Core (Wieczorek et al. 2012). CARP has allowed us the freedom to explore backlog collections, some of which have not been fully processed, revealing mysteries that would otherwise have sat undiscovered, and to resolve uncertainties across the collections. For example, in Botany, cataloguing the foreign ferns reveals previously unrealised type specimens; in Marine, cataloguing all 9117 specimen lots of the New Zealand Bivalvia collection, brought classification and locality data uncertainties to resolution. There are multiple projects running concurrently in each collecting area, continually enriching our collection data. In turn, this is opening up a far wider range of information to the public through our online collection portal, AWMM Collections Online http://www.aucklandmuseum.com/discover/collections-online (currently 800,000 records). Open accessibility promotes careful consideration of how and what data we deliver, as it is disseminated through global portals, such as the Global Biodiversity Information Facility (GBIF) and Atlas of Living Australia (ALA). Collections that have often had no more attention than recording of their original labels, have interesting stories beyond “just” cataloguing them. As cataloguers, we have found that the uncertainties or sometimes apparent lack of detail increases our engagement with our collections. Rather than solely copying information into the database, we become detectives, resolving uncertainties and verifying the background of our objects, collection sites and collectors. This engagement and the global reach of our data mean that we are invested in the programme, so that data entry continuity and accuracy are maximised. Our presentation will give an overview of the CARP and our method, and a look at our progress two years in, highlighting some of our discoveries and how the uncertainty in our data allows us to engage more with our collections.
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GRIFFITHS, MARK D., ANDREA M. LEWIS, ANGELICA B. ORTIZ DE GORTARI, and DARIA J. KUSS. "ONLINE FORUMS AND SOLICITED BLOGS: INNOVATIVE METHODOLOGIES FOR ONLINE GAMING DATA COLLECTION." Studia Psychologica 15, no. 2 (September 20, 2016): 101. http://dx.doi.org/10.21697/sp.2015.14.2.07.

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Badania prowadzone przez internet na temat gier online i ich użytkowników stają się coraz bardziej powszechne. Jednak naukowcy nadal rzadko wykorzystują dwa sposoby zbierania wyników, tj. (i) fora internetowe oraz (ii) prywatne blogi. Celem artykułu jest omówienie tych dwóch, niezbyt powszechnie znanych, metod zbierania danych i analiza zarówno zalet (np. łatwość zbierania danych, źródło różnorodnego i złożonego materiału tekstowego, które może być wykorzystane do analizy konkretnych zdarzeń, docieranie do specyficznych i/lub zróżnicowanych grup badawczych, zapewnienie anonimowości uczestnikom badania, nieobciążanie badanych, większy poziom szczerości itp.), jak i wad (np. brak informacji o warunkach badania, błędy w doborze prób badawczych, brak kontroli warunków badania przez badacza, brak wiedzy na temat zachowań uczestników badania, brak uogólnionych wyników). Artykuł może być pomocny dla tych naukowców, którzy prowadzą badania w obszarze gier online. Poszerza on zakres wcześniejszych prac, przedstawiając metodologiczne i etyczne problemy związane z wykorzystaniem forów i blogów w naukach społecznych. Mimo że prowadzenie badań za pośrednictwem Sieci może budzić obawy zarówno w odniesieniu do rzetelności, jak i do jakości zebranych wyników, to wykorzystanie i analiza treści zaczerpniętych z forów i blogów może dostarczyć nowych, cennych informacji. Zazwyczaj są one niemożliwe do pozyskania drogą innych metod badawczych stosowanych w analizie gier online i badaniu ich użytkowników.
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Herzing, Jessica M. E., Caroline Vandenplas, and Julian B. Axenfeld. "A data-driven approach to monitoring data collection in an online panel." Longitudinal and Life Course Studies 10, no. 4 (October 1, 2019): 433–52. http://dx.doi.org/10.1332/175795919x15694136006114.

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Longitudinal or panel surveys suffer from panel attrition which may result in biased estimates. Online panels are no exceptions to this phenomenon, but offer great possibilities in monitoring and managing the data-collection phase and response-enhancement features (such as reminders), due to real-time availability of paradata. This paper presents a data-driven approach to monitor the data-collection phase and to inform the adjustment of response-enhancement features during data collection across online panel waves, which takes into account the characteristics of an ongoing panel wave. For this purpose, we study the evolution of the daily response proportion in each wave of a probability-based online panel. Using multilevel models, we predict the data-collection evolution per wave day. In our example, the functional form of the data-collection evolution is quintic. The characteristics affecting the shape of the data-collection evolution are those of the specific wave day and not of the panel wave itself. In addition, we simulate the monitoring of the daily response proportion of one panel wave and find that the timing of sending reminders could be adjusted after 20 consecutive panel waves to keep the data-collection phase efficient. Our results demonstrate the importance of re-evaluating the characteristics of the data-collection phase, such as the timing of reminders, across the lifetime of an online panel to keep the fieldwork efficient.
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Online data collection":

1

Scott, Kimberly M. Ph D. Massachusetts Institute of Technology. "Online data collection for developmental research." Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/127709.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2018
Cataloged from PDF version of thesis. Page 140 blank.
Includes bibliographical references (pages 134-139).
The strategies infants and young children use to understand the world around them provide unique insight into the structure of human cognition. However, developmental research is subject to heavy pragmatic constraints on recruiting large numbers of participants, bringing families back for repeat sessions, and working with special populations or diverse samples. These constraints limit the types of questions that can be addressed in the lab as well as the quality of evidence that can be obtained. In this dissertation, I present a new platform, "Lookit," that allows researchers to conduct developmental experiments online via asynchronous webcam-recorded sessions, with the aim of expanding the set of questions that we can effectively answer. I first present the results of a series of empirical studies conducted in the laboratory to assess difficulty faced by infants in integrating information across visual hemifields (Chapter 2), as an illustration of the creative workarounds in study design necessary to accommodate the difficulty of participant recruitment. The rest of this work concerns the development of the online platform, from designing the prototype (Chapter 3) and initial proof-of-concept studies (Chapter 4) to the demonstration of an interface for researchers to specify and manage their studies on a collaborative platform (Chapter 5). I show that we are able to reliably collect and code dependent measures including looking times, preferential looking, and verbal responses on Lookit; to work with more representative samples than in the lab; and to flexibly implement a wide variety of study designs of interest to developmental researchers.
by Kimberly M. Scott.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences
2

Jordan, James W. Tommerdahl Mark Allen. "Centralized collection of experimental data in an online database." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,949.

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Thesis (M.S.)--University of North Carolina at Chapel Hill, 2007.
Title from electronic title page (viewed Dec. 18, 2007). "... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Biomedical Engineering." Discipline: Biomedical Engineering; Department/School: Medicine.
3

Shakeri, Alireza. "Optimising remote collection of odontological data." Thesis, Högskolan i Gävle, Datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-37044.

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1.1 Problem statement  This study looks to examine if and how patient/dentist contact can be reduced through remote diagnosis. The goal of the study is to formulate an understanding of what type of data needs to be collected and how to optimize the collection of that data (through digital platforms) to put together an odontological diagnosis that is as accurate as possible.  In other words, can medical diagnosis of the oral cavity be done correctly remotely? How is the process of remote odontological data collection optimized through platform design (interface and functionality)?  1.2 Methods  To collect remote data pertaining to the oral cavity and its health status a system is designed composed of three separate parts that interact. A database for the permanent storage of user data, a webpage for the collection of user data through user input and a backend system that acts as conveyer of information between the users and the database. Once the system is deployed user data is collected and interpreted, the quality of the data is then assessed by qualified dentists and the system modified based on the feedback from users and dentists. After the system has been modified it is redeployed, new data is collected, and its quality assessed and compared to the data previously collected. These modifications can be in the form of minor changes made to small parts of the system or major changes involving the entire system. Although this sort of feedback loop enhancement can be performed repeatedly during a long period of time, the goal is to complete two major iterations and a series of minor changes as feedback is obtained. User feedback will be received primarily through social media as the system does not allow users to express their opinions in any direct way. This is simplified by the fact that most users will be recruited through social media platforms.  1.3 Results  Although initially the concern was that users would have issues taking adequate images/videos of the oral cavity and its oral pathologies if present, this concern was quickly dismissed. The main issue users encountered were those related to navigation of the platform resulting in users submitting incomplete data. Once changes were applied to simplify navigation the results changed drastically, and majority of the data collected was complete. As data was collected it became clear that many different types of cases could be correctly diagnosed remotely, however, some cases inevitably will require a clinical examination to diagnose due to various factors such as the need for radiographs and/or dental probing. Nevertheless, the changes made to the platform over the iterations did help to optimise data collection significantly.
4

Reynolds, D'Arcy James. "ONLINE DATA COLLECTION FOR PSYCHOTHERAPY PROCESS RESEARCH: SESSION IMPACT AND ALLIANCE EVALUATIONS." Oxford, Ohio : Miami University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1091453348.

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Washha, Mahdi. "Information quality in online social media and big data collection : an example of Twitter spam detection." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30080/document.

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La popularité des médias sociaux en ligne (Online Social Media - OSM) est fortement liée à la qualité du contenu généré par l'utilisateur (User Generated Content - UGC) et la protection de la vie privée des utilisateurs. En se basant sur la définition de la qualité de l'information, comme son aptitude à être exploitée, la facilité d'utilisation des OSM soulève de nombreux problèmes en termes de la qualité de l'information ce qui impacte les performances des applications exploitant ces OSM. Ces problèmes sont causés par des individus mal intentionnés (nommés spammeurs) qui utilisent les OSM pour disséminer des fausses informations et/ou des informations indésirables telles que les contenus commerciaux illégaux. La propagation et la diffusion de telle information, dit spam, entraînent d'énormes problèmes affectant la qualité de services proposés par les OSM. La majorité des OSM (comme Facebook, Twitter, etc.) sont quotidiennement attaquées par un énorme nombre d'utilisateurs mal intentionnés. Cependant, les techniques de filtrage adoptées par les OSM se sont avérées inefficaces dans le traitement de ce type d'information bruitée, nécessitant plusieurs semaines ou voir plusieurs mois pour filtrer l'information spam. En effet, plusieurs défis doivent être surmontées pour réaliser une méthode de filtrage de l'information bruitée . Les défis majeurs sous-jacents à cette problématique peuvent être résumés par : (i) données de masse ; (ii) vie privée et sécurité ; (iii) hétérogénéité des structures dans les réseaux sociaux ; (iv) diversité des formats du UGC ; (v) subjectivité et objectivité. Notre travail s'inscrit dans le cadre de l'amélioration de la qualité des contenus en termes de messages partagés (contenu spam) et de profils des utilisateurs (spammeurs) sur les OSM en abordant en détail les défis susmentionnés. Comme le spam social est le problème le plus récurant qui apparaît sur les OSM, nous proposons deux approches génériques pour détecter et filtrer le contenu spam : i) La première approche consiste à détecter le contenu spam (par exemple, les tweets spam) dans un flux en temps réel. ii) La seconde approche est dédiée au traitement d'un grand volume des données relatives aux profils utilisateurs des spammeurs (par exemple, les comptes Twitter)
The popularity of OSM is mainly conditioned by the integrity and the quality of UGC as well as the protection of users' privacy. Based on the definition of information quality as fitness for use, the high usability and accessibility of OSM have exposed many information quality (IQ) problems which consequently decrease the performance of OSM dependent applications. Such problems are caused by ill-intentioned individuals who misuse OSM services to spread different kinds of noisy information, including fake information, illegal commercial content, drug sales, mal- ware downloads, and phishing links. The propagation and spreading of noisy information cause enormous drawbacks related to resources consumptions, decreasing quality of service of OSM-based applications, and spending human efforts. The majority of popular social networks (e.g., Facebook, Twitter, etc) over the Web 2.0 is daily attacked by an enormous number of ill-intentioned users. However, those popular social networks are ineffective in handling the noisy information, requiring several weeks or months to detect them. Moreover, different challenges stand in front of building a complete OSM-based noisy information filtering methods that can overcome the shortcomings of OSM information filters. These challenges are summarized in: (i) big data; (ii) privacy and security; (iii) structure heterogeneity; (iv) UGC format diversity; (v) subjectivity and objectivity; (vi) and service limitations In this thesis, we focus on increasing the quality of social UGC that are published and publicly accessible in forms of posts and profiles over OSNs through addressing in-depth the stated serious challenges. As the social spam is the most common IQ problem appearing over the OSM, we introduce a design of two generic approaches for detecting and filtering out the spam content. The first approach is for detecting the spam posts (e.g., spam tweets) in a real-time stream, while the other approach is dedicated for handling a big data collection of social profiles (e.g., Twitter accounts)
6

Patsimas, Tatiana, Karen E. Schetzina, and Gayatri Bala Jaishankar. "Improving the Provision of Health Information and Support to Parents and Caregivers through Online Data Collection." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/5070.

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As part of the ReadNPlay for a Bright Future initiative, an online survey was conducted to determine the preferences of parents and caregivers in regards to receiving health information and support and to identify opportunities to improve existing support groups in Northeast Tennessee. An anonymous online survey with ten closed-ended questions was designed on Survey Monkey and posted on social media sites of the ReadNPlay project, BABE Regional Breastfeeding Coalition, and local mothers’ support groups. After a two-week period, during which a reminder of the survey was posted, the results of the survey were summarized using Survey Monkey and Excel. A total of 39 surveys were collected. Of the 39 participants, all identified themselves as either a mother (97.44%) or other female caregiver (2.56%). Sixty three percent of mothers and caregivers wanted to receive support or health information through face-to-face support group meetings compared to 78.95% who wanted to receive the same information through social media and 68.42% who wanted to receive information via email. Less popular options for receiving health information and support include community events (60.53%), classes (44.74%), text messages (36.84%), childcare centers/schools (34.21%), handouts from healthcare providers (28.95%), and snail mail (21.05%). Forty six percent of respondents have attended support group meetings several times, 41.03% have never attended a support group meeting, and 15.38% have only attended a support group meeting once. Mothers and other caregivers identified the greatest barriers to participation in a support group as inconvenient timing (47.22%), lack of time (50%), inconvenient locations (47.22%), and lack of information about time and location (25%). Respondents were interested in receiving the following health and parenting information: learning/development (83.78%) breastfeeding (75.68%), active play (75.68%), behavior (72.97%), nutrition (64.86%), safety (45.95%), and prevention (40.54%). Mothers and other caregivers were interested in receiving the following types of support when they attend group meetings: socialization with other parents (81.58%), activities sponsored by community organization (78.95%), information about community resources (65.79%), parenting tips (63.16%), health information (44.74%), and food and supplies (34.21%).Additionally, when respondents were asked to identify preferred locations for support group meetings, the most popular option was a kid-friendly location (97.37%) followed by a community center (57.89%). The results obtained above are being used to improve existing support groups by providing parents and caregivers with child-friendly environments in which to socialize and receive a variety of parenting information, including information on learning and development.
7

Comrie, Fiona S. "An evaluation of the effectiveness of tailored dietary feedback from a novel online dietary assessment method for changing the eating habits of undergraduate students." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2008. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25224.

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Loverus, Anna, and Paulina Tellebo. "There ain ́t no such thing as a free lunch : What consumers think about personal data collection online." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-315656.

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This study examines how consumers reason and their opinions about personal data collection online. Its focus is to investigate whether consumers consider online data collection as an issue with moral implications, and if these are unethical. This focus is partly motivated by the contradiction between consumers’ stated opinions and actual behavior, which differ. To meet its purpose, the study poses the research question How is personal data collection and its prevalence online perceived and motivated by consumers?. The theoretical framework consists of the Issue-Contingent Model of Ethical Decision-Making by Jones (1991), thus putting the model to use in a new context. Collection of data for the study was done by conducting focus groups, since Jones’ model places ethical decision- making in a social context. The results of the study showed that consumers acknowledge both positive and negative aspects of online data collection, but the majority of them do not consider this data collection to be unethical. This result confirms partly the behaviour that consumers already display, but does not explain why their stated opinions do not match this. Thus, this study can be seen as an initial attempt at clarifying consumer reasoning on personal data collection online, with potential for future studies to further investigate and understand consumer online behaviour.
Denna uppsats undersöker hur konsumenter resonerar och tänker kring insamling av personlig data på Internet. Fokus är att utreda ifall konsumenter anser att denna insamling har konsekvenser, och ifall dessa anses vara oetiska. Detta fokus baseras delvis på resultat som visar på skillnader i vad konsumenter uttrycker för åsikter kring detta ämne, och deras faktiska beteende på Internet. Undersökningen utgår ifrån forskningsfrågan som lyder Hur uppfattar och motiverar konsumenter insamling av personlig data på Internet? Studiens teoretiska ramverk består av modellen An Issue-Contingent model of Ethical Decision- Making som är utvecklad av Jones (1991), och modellen används därmed i en ny kontext. Studiens data samlades in genom fokusgrupper. Detta val baserades på Jones (1991) modell, som menar att etiskt beslutsfattande alltid sker i en social kontext. De resultat som kommit fram visar att konsumenter ser både positiva och negativa aspekter och konsekvenser av att ha sin personliga data insamlad, däremot utan att anse att insamlingen i sig är oetisk. Detta bekräftar delvis tidigare resultat, men förklarar inte varför de åsikter konsumenter uttrycker kring ämnet inte stämmer överens med hur de sedan faktiskt beter sig. Därmed kan den här uppsatsen ses som ett första försök att klargöra hur konsumenter resonerar kring insamling av personlig data på Internet. Det har bedömts finnas mycket potential för framtida studier inom samma område, för att fortsatt undersöka och förstå konsumenters beteende på Internet.
9

Michailidou, Christina. "Low back pain, quality of life and function in people with incomplete spinal cord injury in USA, UK and Greece." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7041.

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Background: Pain is a common consequence of Spinal Cord Injury (SCI). While research into pain in SCI is vast, examining musculoskeletal pain (MSKP) and low back pain (LBP) are limited. This thesis aims to investigate these categories of pain in incomplete SCI (iSCI). The experience of pain is known to affect quality of life (QoL) and function. The impact of the experience of pain, particularly of LBP, on both the QoL and function are examined in this research. While research in similar fields is predominantly conducted in single nation populations this research is set out to study three different nations. Method: The following were part of this study: • A systematic literature review on the prevalence on chronic back pain (BP), LBP and MSKP in SCI. • A translation, and preliminary validation, into Greek of the Spinal Cord Independence Measure (SCIM version III). • A cross-national survey conducted in the USA, UK and Greece. Questionnaires included the short-form McGill Pain questionnaire (SF-MPQ), EQ-5D and the SCIM III. They were collected either online or via post and 219 questionnaires were analysed. Results: The papers included in the systematic literature review were considerably heterogeneous not allowing meta-analysis to be made. 95% confidence intervals (CI) for the total number of participants in the studies were used. Among people with pain the prevalence of chronic MSKP (CMSKP) was 49% (95%CI 44%, 55%), of chronic BP (CBP) was 47% (95%CI 43%, 50%) and chronic LBP (CLBP) was 49% (95%CI 44%, 55%). GR-SCIM III maintains its unidimensionality and has acceptable internal consistency (α=0.78). Concurrent/criterion validity for the two cross-examined subscales were strong for “self-care” (ρ=-0.78) and moderate for “mobility” (ρ=-0.58). Unidimensionality was also confirmed for the English version of SCIM III, which had accepted internal consistency (α=0.79) and strong concurrent/criterion validity for “self-care” (ρ=-0.75) and moderate for “mobility” (ρ=-0.45). The survey results showed that the prevalence of current LBP is 67.9% (95%CI 61%, 73%) and of MSKP is 38.8% (95%CI 32%, 45%). LBP was of moderate intensity and most commonly described as “aching”. People who report pain, LBP or MSKP reported worse QoL. The impact of LBP on QoL was greater than that of pain in general or MSKP. The increased intensity of LBP correlated with worse function. Among the three participating countries, people from the UK had the worst experience of pain and LBP, classified themselves with the worst health status and reported the worst functional independence. Conclusion: This study offers the first systematic review on CLBP, CBP and CMSKP in SCI. It is unique in using SCIM III by self-report and into Greek. The results show that LBP is highly present in iSCI affecting both QoL and function. Both the GR-SCIM III and the SCIM III are reliable for use, however studies are needed to examine further their psychometric properties. The findings of the study fit with features of the currently used patients’ rehabilitation models.
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Manalo, Cornejo Darryl, and Ali Sabet. "Online Social Lookup: A Study of a Future Employment Tool." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186402.

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From the days of Antonio Meucci and Alexander Graham Bell when the telephone was invented, people have been looking for ways to communicate with each other through the use of technology. With the introduction of the Internet new possibilities were created to communicate with other persons around the world. As more and more individuals got access to the Internet more and more data got sent through the network. As with any platform where number of individuals keeps growing, business is to be made. Different companies offer different types of services, and many of these companies are niched in services where people in some way interact with each other. Social communities are some of the largest websites that are used and on these websites a lot of data is being shared. Pictures, life stories and interests are shared and this data is something that advertisement companies pay money to obtain. We can see this since a large part of revenues from social communities come from ad companies. Since these websites save data about individuals one could collect this data to sum up how an individual act online. In this thesis, we wanted to see if there was any interest in collecting this type of data to develop a business model where the data of individuals would be sold to a third party, and how individuals feel about this type data collection. To get an understanding of what type of data that can be collected, different companies that gather data were looked into. To get an understanding if this business model is something wanted recruiters of different IT companies were contacted for interviews. Focus groups and surveys were used to see how individuals close to their college graduation feel about data collection and the business model that is under construction. From the data collected, we saw that recruiters were not interested in a business model that gathered personal data, but rather professional data such as education, projects and other job related facts that can prove what the job applicant have done. And from the public we got the response that data collection of this sort is not something that is desirable. With the data collected we saw that our business model did not fit our targeted audience, but rather that a modified business model aimed on professional data rather than social data is something that could be developed.
Ända sedan den dagen telefonen skapades av Antonio Meucci och Alexander Graham Bell har människan letat efter nya sätt att kommunicera med varandra via teknologin som finns idag. Internet har introducerade nya sätt att dela olika typer av data världen över. Varje dag får fler och fler människor tillgång till internet det betyder då också att mer data skickas via nätet. Som med alla plattform där antalet individer växer skapas då nya affärsmodeller. Olika företag erbjuder olika typer av tjänster och många av dessa företag fördjupar sig inom kommunikationssektorn så att människor kan integrera med varandra. Socialmedia är bland de populäraste webbsidorna idag och här kan användarna dela data och information med varandra. Dessa data är viktiga för annonseringsföretagen då de vill rikta rätt reklam till användarna. Detta ser vi nu eftersom sociala mediernas största inkomstkälla kommer ifrån säljandet av data till annonsering bolagen. Man skulle kunna ta all data som dessa företag har sparat på sina användare för att sammanställa hur de använder tjänsten. I vår rapport ville vi se om det dann något intresse för att samla in denna typ av data för att utveckla vår affärsmodell där individens data och information säljes till en tredje part. Vi ville även undersöka hur användaren känner när det gäller datasamling på internet. För att få en uppfattning på vad för data som kan samlas in på internet har vi undersökt två företag för att se vad för data de tar. När det gäller vår affärsmodell har vi kontaktat och intervjuat rekryterare från olika företag för att se om vår affärsmodell är något som de behöver. Focused Groups och enkäter skickades ut till studenter som nästan har sin examen för att höra vad de har för åsikt är gällande datainsamling och vår affärsmodell. Vår undersökning visade att datainsamling inte var eftertraktad, men de ville däremot samla kompetens information istället. Information så som utbildning, projekt och arbetskarriär. Enkäten och Focused Groups visade även där att personlig datainsamling inte var något som de ville ha. Med de data vi fått under vår undersökning tydde det på att vår affärside inte var riktad mot rätt målgrupp, men en justering av vår affärsmodell i form av datainsamling av kompetens information var något de ville ha.
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Books on the topic "Online data collection":

1

Reynolds, Rodney A., Jason D. Baker, and Mihai C. Bocarnea. Online instruments, data collection, and electronic measurements: Organizational advancements. Hershey, PA: IGI Global, 2013.

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Zhou, Xu. A data mining system based on auto online data collection and XML database. Leicester: De Montfort University, 2004.

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Papineau, Diane. Geospatial data stewardship: Key online resources : an NDSA report. Washington, D.C.]: [National Digital Stewardship Alliance], 2014.

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Clinic on Library Applications of Data Processing (24th 1987 University of Illinois at Urbana-Champaign). Questions and answers: Strategies for using the electronic reference collection : Clinic on Library Applications of Data Processing, 1987. [Urbana, Ill.]: Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 1989.

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Clinic on Library Applications of Data Processing (24th 1987 University of Illinois at Urbana-Champaign). Questions and answers: Strategies for using the electronic reference collection : Clinic on Library Applications of Data Processing, 1987. [Urbana, Ill.]: Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 1989.

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Drabenstott, Karen Markey. Subject access to visual resources collections: A model for computer construction of thematic catalogs. New York: Greenwood Press, 1986.

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Theimer, Kate. Web 2.0 tools and strategies: For archives and local history collections. New York: Neal-Schuman Publishers, 2009.

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Theimer, Kate. Web 2.0 tools and strategies for archives and local history collections. New York: Neal-Schuman Publishers, 2010.

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Markey, Karen. Subject access to visual resources collections: A model for computer construction of thematic catalogs. New York: Greenwood, 1986.

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Göritz, Anja S. Using Online Panels in Psychological Research. Edited by Adam N. Joinson, Katelyn Y. A. McKenna, Tom Postmes, and Ulf-Dietrich Reips. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199561803.013.0030.

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Online panels (OPs) are an important form of web-based data collection, as illustrated by their widespread use. In the classical sense, a panel is a longitudinal study in which the same information is collected from the same individuals at different points in time. In contrast to that, an OP has come to denote a pool of registered people who have agreed to occasionally take part in web-based studies. Thus with OPs, the traditional understanding of a panel as a longitudinal study is broadened because an OP can be employed as a sampling source for both longitudinal and cross-sectional studies. This article gives an overview of the current state of use of OPs. It discusses what OPs are, what type of OPs there are, how OPs work from a technological point of view, and what their advantages and disadvantages are. The article reviews the current body of methodological findings on doing research with OPs. Based on this evidence, recommendations are given as to how the quality of data that are collected in OPs can be augmented.
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Book chapters on the topic "Online data collection":

1

Androutsopoulos, Jannis. "Online Data Collection." In Data Collection in Sociolinguistics, 233–44. Second edition | New York, NY : Routledge, [2018]: Routledge, 2017. http://dx.doi.org/10.4324/9781315535258-47.

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Janetzko, Dietmar. "Nonreactive Data Collection Online." In The SAGE Handbook of Online Research Methods, 76–91. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2017. http://dx.doi.org/10.4135/9781473957992.n5.

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Baron, Naomi S. "Cultural Challenges in Online Survey Data Collection." In Data Collection in Sociolinguistics, 148–50. Second edition | New York, NY : Routledge, [2018]: Routledge, 2017. http://dx.doi.org/10.4324/9781315535258-30.

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Ashrafi, Mafruz Zaman, and See Kiong Ng. "Efficient and Anonymous Online Data Collection." In Database Systems for Advanced Applications, 471–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00887-0_41.

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Abdesslem, Fehmi Ben, Iain Parris, and Tristan Henderson. "Reliable Online Social Network Data Collection." In Computational Social Networks, 183–210. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4054-2_8.

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Sun, Tien-Lung, and Gustavo Adolfo Miranda Salgado. "Sustainable Data Collection Framework: Real-Time, Online Data Visualization." In Sustainable Design and Manufacturing 2017, 58–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57078-5_6.

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Scherpenzeel, Annette. "Mixing Online Panel Data Collection with Innovative Methods." In Methodische Probleme von Mixed-Mode-Ansätzen in der Umfrageforschung, 27–49. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-15834-7_2.

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Drewes, Frank. "An empirical test of the impact of smartphones on panel-based online data collection." In Online Panel Research, 367–86. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118763520.ch16.

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Hogan, Bernie. "Online Social Networks: Concepts for Data Collection and Analysis." In The SAGE Handbook of Online Research Methods, 241–57. 1 Oliver's Yard, 55 City Road London EC1Y 1SP: SAGE Publications Ltd, 2017. http://dx.doi.org/10.4135/9781473957992.n14.

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Tzouramanis, Theodoros, Alexandros Kefallonitis, and Georgios Papageorgiou. "Ethical Issues Surrounding Data Collection in Online Social Networks." In Encyclopedia of Social Network Analysis and Mining, 479–86. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_347.

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Conference papers on the topic "Online data collection":

1

Vickrey, David, Aaron Bronzan, William Choi, Aman Kumar, Jason Turner-Maier, Arthur Wang, and Daphne Koller. "Online word games for semantic data collection." In the Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1613715.1613781.

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Jingjing Fei, Hui Wu, Wenguang Zheng, and Yongxin Wang. "Lifetime-aware data collection in Wireless Sensor Networks." In 2015 IEEE Online Conference on Green Communications (OnlineGreenComm). IEEE, 2015. http://dx.doi.org/10.1109/onlinegreencom.2015.7387375.

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Shao, Zeman, Runyu Mao, and Fengqing Zhu. "Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006165.

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Seki, Yoko. "Online and Offline Data Collection of Japanese Handwriting." In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). IEEE, 2019. http://dx.doi.org/10.1109/icdarw.2019.70135.

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Yao, Wenlin, Zeyu Dai, Ruihong Huang, and James Caverlee. "Online Deception Detection Refueled by RealWorld Data Collection." In RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning. Incoma Ltd. Shoumen, Bulgaria, 2017. http://dx.doi.org/10.26615/978-954-452-049-6_102.

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Nakamura, Christopher M., Sytil K. Murphy, Nasser M. Juma, N. Sanjay Rebello, Dean Zollman, Mel Sabella, Charles Henderson, and Chandralekha Singh. "Online Data Collection and Analysis in Introductory Physics." In 2009 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2009. http://dx.doi.org/10.1063/1.3266719.

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Chitwood, R., and S. Sabin. "A New Method for Online Vibration Data Collection." In EVI-GTI and PIWG Joint Conference on Gas Turbine Instrumentation. Institution of Engineering and Technology, 2016. http://dx.doi.org/10.1049/cp.2016.0840.

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Efstathiades, Hariton, Demetris Antoniades, George Pallis, and Marios D. Dikaiakos. "Distributed Large-Scale Data Collection in Online Social Networks." In 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC). IEEE, 2016. http://dx.doi.org/10.1109/cic.2016.056.

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Olszak, Celina, and Osama Sohaib. "The Impact of Online Data Collection on Consumer Autonomy." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2021. http://dx.doi.org/10.24251/hicss.2021.028.

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Walser, Sandra, Nico Perdrial, Paul R. Bierman, and Christine A. Massey. "CITIZEN SCIENCE AS A TOOL FOR COMMUNITY OUTREACH, DATA COLLECTION, AND ENVIRONMENTAL JUSTICE IN SOIL GEOCHEMISTRY." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-357318.

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Reports on the topic "Online data collection":

1

Al Rashdan, Ahmad Y., and Shawn W. St. Germain. Automation of Data Collection Methods for Online Monitoring of Nuclear Power Plants. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1475451.

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Landwehr, Peter M. A Collection of Economic and Social Data from Glitch, a Massively Multiplayer Online Game. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada586978.

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Sriraj, P. S., Bo Zou, Lise Dirks, Nahid Parvez Farazi, Elliott Lewis, and Jean Paul Manzanarez. Maritime Freight Data Collection Systems and Database to Support Performance Measures and Market Analyses. Illinois Center for Transportation, December 2020. http://dx.doi.org/10.36501/0197-9191/20-021.

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The Illinois Marine Transportation System (IMTS) is a key component of the nation’s inland waterway system. IMTS is comprised of 27 locks and dams, 19 port districts, more than 350 active terminals, and 1,118 miles of navigable inland waterways traversing along the borderline or within the state of Illinois. However, the infrastructure of IMTS is aging and its conditions are deteriorating. To monitor the performance of IMTS and guide infrastructure investment to enhance safety, efficiency, and reliability of the system, a comprehensive performance measurement program is needed. To this end, the objective of this project is to create an integrated, comprehensive, and maintainable database that facilitates performance measurement of maritime freight to, from, and through Illinois. To achieve this objective, a review of the literature on maritime freight transportation both in the United States and abroad was performed. To gauge practitioners’ points of view, a series of phone interviews and online surveys of Illinois’ neighboring state DOT officials, officials from the US Army Corps of Engineers, Illinois port district authorities, and carriers operating in Illinois was also conducted. With the findings from the literature review and an understanding of state DOT practices, the needed and available data sources for a maritime freight performance measurement program were identified. Building on all the above efforts, a first-of-its-kind PM database for IMTS was designed and developed, along with a detailed user manual, ready for IDOT’s immediate use and future updates. In addition, opportunities for IDOT to use the database to conduct analysis are discussed. Key programmatic recommendations that outline the role of IDOT as a champion and as a facilitator are further included. The outcome of this project will help IDOT gain much-needed knowledge of and develop programs to improve IMTS performance, increase multimodal transportation network capacity, and expand the transportation and logistics sector of the state, which ultimately benefit the people and economy of Illinois.
4

Southwell, Brian, Angelique (Angel) Hedberg, Christopher Krebs, and Stephanie Zevitas, eds. Building and Maintaining Trust in Science: Paths Forward for Innovations by Nonprofits and Funding Organizations. RTI Press, September 2019. http://dx.doi.org/10.3768/rtipress.2019.cp.0010.1909.

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In July 2019, participants gathered in Research Triangle Park, North Carolina, for an event organized by RTI International called Trust in Science. Our goal with the Trust in Science event was to foster collaborations and strengthen connections between nonprofit and funding organizations to address trust-related challenges that are affecting science and scientists. Collaboration between professionals and organizations is easy to cite as an abstract goal but can be challenging to pursue in practice for various reasons. Participants generated and considered both broad challenges and specific contexts in which trust has been strained. We discussed, for example, the use of wearable technologies for data collection, vaccine acceptance, biofuel research, survey research on topics such as sexual harassment monitoring, tools to help people navigate online information, and the development of physical spaces for local community discussion about science and technology. We offer an overview of key themes and ideas that emerged from our interactions. We hope that readers will consider this an open-source set of suggestions for future initiatives and innovations.
5

Giles Álvarez, Laura, and Jeetendra Khadan. Mind the Gender Gap: A Picture of the Socioeconomic Trends Surrounding COVID-19 in the Caribbean with a Gender Lens. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002961.

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This paper provides an insight on the gender impact of the COVID-19 pandemic in the Caribbean. The analysis makes use of the April 2020 online COVID-19 survey that the Inter-American Development conducted in all six Caribbean Country Department member countries. We find that the pandemic is having different effects on men and women. For example, job losses have been more prevalent amongst single-females, whilst business closures have been more prevalent amongst single-males. Quality of life also seems to have worsened more for single-females than for single-males and partners (married or common law partnership) and domestic violence against women has been on the rise. Although the coverage of social assistance programs has increased substantially during the pandemic, we find that more targeting of households with single females could be beneficial, particularly as they show lower levels of financial resilience. Going forward, we recommend further gender targeting in social assistance programs and the collection of gender-disaggregated data that will allow for more thorough investigation of the gender effects of these types of shocks.
6

Chiochios, Maria, Janelle Hedstrom, Katie Pierce Meyer, and Mary Rader. Library Impact Practice Brief: Relationship between Library Collections and the Recruitment and Retention of Faculty at UT Austin. Association of Research Libraries, August 2021. http://dx.doi.org/10.29242/brief.utaustin2021.

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As part of the Association of Research Libraries (ARL) Research Library Impact Framework initiative, The University of Texas (UT) at Austin Libraries conducted a study to examine the impact of library collections on the recruitment and retention of faculty to the university, and to understand the relationship between institutional resources—especially libraries—and career decision-making of faculty. This practice brief describes the UT team’s literature review and the data gathered through an online survey and one-on-one semi-structured interviews with newly recruited and newly promoted faculty members.
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Tidd, Alexander N., Richard A. Ayers, Grant P. Course, and Guy R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package 6 final report development of a pilot relational data resource for the collation and interpretation of inshore fisheries data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23452.

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[Extract from Executive Summary] The competition for space from competing sectors in the coastal waters of Scotland has never been greater and thus there is a growing a need for interactive seascape planning tools that encompass all marine activities. Similarly, the need to gather data to inform decision makers, especially in the fishing industry, has become essential to provide advice on the economic impact on fishing fleets both in terms of alternative conservation measures (e.g. effort limitations, temporal and spatial closures) as well as the overlap with other activities, thereby allowing stakeholders to derive a preferred option. The SIFIDS project was conceived to allow the different relevant data sources to be identified and to allow these data to be collated in one place, rather than as isolated data sets with multiple data owners. The online interactive tool developed as part of the project (Work Package 6) brought together relevant data sets and developed data storage facilities and a user interface to allow various types of user to view and interrogate the data. Some of these data sets were obtained as static layers which could sit as background data e.g. substrate type, UK fishing limits; whilst other data came directly from electronic monitoring systems developed as part of the SIFIDS project. The main non-static data source was Work Package 2, which was collecting data from a sample of volunteer inshore fishing vessels (<12m). This included data on location; time; vessel speed; count, time and position of deployment of strings of creels (or as fleets and pots as they are also known respectively); and a count of how many creels were hauled on these strings. The interactive online tool allowed all the above data to be collated in a specially designed database and displayed in near real time on the web-based application.
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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, Jonathan Forman, James Revill, John Borrie, Crister Åstot, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, December 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider some of the wider economic and political requirements for their adoption. The growing number of space-based sensors is raising confidence in what open-source satellite systems can observe and record. These systems are being combined with local knowledge and technical expertise through social media platforms, resulting in dramatically improved coverage of the Earth’s surface. These open-source tools can complement and augment existing treaty verification and monitoring capabilities in the nuclear regime. Remote sensing tools, such as uncrewed vehicles, can assist investigators by enabling the remote collection of data and chemical samples. In turn, this data can provide valuable indicators, which, in combination with other data, can inform assessments of compliance with the chemical weapons regime. In addition, remote sensing tools can provide inspectors with real time two- or three-dimensional images of a site prior to entry or at the point of inspection. This can facilitate on-site investigations. In the past, trade data has proven valuable in informing assessments of non-compliance with the biological weapons regime. Today, it is possible to analyse trade data through online, public databases. In combination with other methods, open-source trade data could be used to detect anomalies in the biological weapons regime. AI and the digitization of data create new ways to enhance confidence in compliance with WMD regimes. In the context of the chemical weapons regime, the digitization of the chemical industry as part of a wider shift to Industry 4.0 presents possibilities for streamlining declarations under the Chemical Weapons Convention (CWC) and for facilitating CWC regulatory requirements.

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