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Journal articles on the topic 'Online data collection'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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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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Karcnik, Tomaz, Takashi Watanabe, Ryoko Futami, and Nozomu Hoshimiya. "Wearable Data Collection System for Online Gait Stability Analysis." Neuromodulation: Technology at the Neural Interface 7, no. 3 (June 24, 2004): 223–29. http://dx.doi.org/10.1111/j.1094-7159.2004.04202.x.

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Sugiharti, E., R. Arifudin, and A. T. Putra. "Online information system for data collection of cattle quality." Journal of Physics: Conference Series 983 (March 2018): 012058. http://dx.doi.org/10.1088/1742-6596/983/1/012058.

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Wood, Richard T. A., Mark D. Griffiths, and Virginia Eatough. "Online Data Collection from Video Game Players: Methodological Issues." CyberPsychology & Behavior 7, no. 5 (October 2004): 511–18. http://dx.doi.org/10.1089/cpb.2004.7.511.

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14

Hydock, Chris. "Assessing and overcoming participant dishonesty in online data collection." Behavior Research Methods 50, no. 4 (December 22, 2017): 1563–67. http://dx.doi.org/10.3758/s13428-017-0984-5.

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Lefever, Samúel, Michael Dal, and Ásrún Matthíasdóttir. "Online data collection in academic research: advantages and limitations." British Journal of Educational Technology 38, no. 4 (July 2007): 574–82. http://dx.doi.org/10.1111/j.1467-8535.2006.00638.x.

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Ward, Peter, Taralyn Clark, Ramon Zabriskie, and Trevor Morris. "Paper/Pencil Versus Online Data Collection: An Exploratory Study." Journal of Leisure Research 44, no. 4 (December 2012): 507–30. http://dx.doi.org/10.1080/00222216.2012.11950276.

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Poria, Yaniv, and Harmen Oppewal. "A new medium for data collection: online news discussions." International Journal of Contemporary Hospitality Management 15, no. 4 (July 1, 2003): 232–36. http://dx.doi.org/10.1108/09596110310475694.

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This paper explores the possible uses of online news discussions that emerge following the publication of news on the Internet. It is suggested that this medium provides those investigating consumer behaviour with a new, previously unavailable, source of information (at almost no direct cost). The unique attributes of this medium are presented, and examples of discussions are provided that emphasise possible implications for hotel managers and marketers.

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Balachandran Nair, Lakshmi. "Roles of online spaces in management research data collection." Academy of Management Proceedings 2021, no. 1 (August 2021): 10118. http://dx.doi.org/10.5465/ambpp.2021.10118abstract.

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19

Namey, Emily, Greg Guest, Amy O’Regan, Christine L. Godwin, Jamilah Taylor, and Andres Martinez. "How Does Mode of Qualitative Data Collection Affect Data and Cost? Findings from a Quasi-experimental Study." Field Methods 32, no. 1 (December 16, 2019): 58–74. http://dx.doi.org/10.1177/1525822x19886839.

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Internet-based platforms are increasingly used to collect qualitative data. We conducted a quasi-experimental study to explore whether data collection mode affects data content and data collection costs. Participants ( N = 171) were assigned systematically to one of four modes—(1) in-person (control), (2) online video–based, (3) online chat–based, (4) online e-mail/message board-based—and randomized to individual interview (IDI) or focus group (FG). We conducted 48 IDIs and 24 FGs about medical risk during pregnancy with women in the southeast United States. We found audiovisual (in-person and online video) modes generated significantly greater volumes of data than online text–based modes. However, there were no significant differences in the thematic content among modes, for IDIs or FGs. Online data collection generally cost more per event without travel; in-person IDIs/FGs were more expensive if including travel. Findings offer empirical data for considerations of online versus in-person qualitative data collection.

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Jones, Malena. "A Research Experience Collecting Data Online: Advantages and Barriers." Creative Nursing 23, no. 4 (2017): 266–70. http://dx.doi.org/10.1891/1078-4535.23.4.266.

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This article details the use of an online survey tool to obtain information from nurse faculty, including the data collection process, the survey responses by nurse faculty, and the advantages and barriers of online data collection. The survey response rate indicates that online data collection is a valuable tool for nurse researchers.

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Söderlund, Magnus, Jonas Colliander, and Stefan Szugalski. "Screen size effects in online data collections." Journal of Consumer Marketing 36, no. 6 (September 9, 2019): 751–59. http://dx.doi.org/10.1108/jcm-10-2018-2882.

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Purpose This paper aims to examine if the response device (smartphone vs computer) used by participants in online data collections affects their responses. The screens of smartphones and computers differ in size, and the main hypothesis here is that screen size is likely to be influential when stimuli with aesthetic qualities are shown on the screen. Design/methodology/approach Two experiments, in which pictures of food items were used as stimuli, were conducted. In each experiment, the screen size of the participants’ devices used for the responses was a measured factor. Findings Participants with large screen devices responded with a higher level of (a) positive emotions and (b) attractiveness perceptions than participants with small screen devices. Practical implications The results highlight that the participant’s device can be a confounding factor in research projects comprising online data collections. Screen size thereby represents an additional factor calling for caution in the “exodus to cyberspace” that characterizes many contemporary researchers’ data collection activities. Originality/value When data are collected online, participants’ can use devices that differ in terms of screen size (e.g. smartphones, tablets and computers), but the impact of this factor on consumer behavior-related response variables has hitherto not been examined in existing research.

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Cheng, Qijin, Shu-Sen Chang, and Paul SF Yip. "Opportunities and challenges of online data collection for suicide prevention." Lancet 379, no. 9830 (May 2012): e53-e54. http://dx.doi.org/10.1016/s0140-6736(12)60856-3.

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Chan, X. H., W. Wynn-Jones, and C. Lobban. "Time for an open access secure online data collection tool." BMJ 345, jul16 2 (July 16, 2012): e4805-e4805. http://dx.doi.org/10.1136/bmj.e4805.

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Kim, Y. E., T. M. Doll, and R. Migneco. "Collaborative Online Activities for Acoustics Education and Psychoacoustic Data Collection." IEEE Transactions on Learning Technologies 2, no. 3 (July 2009): 168–73. http://dx.doi.org/10.1109/tlt.2009.10.

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van Gelder, Marleen M. H. J., Peter J. F. M. Merkus, Joris van Drongelen, Jessie W. Swarts, Tom H. van de Belt, and Nel Roeleveld. "The PRIDE Study: Evaluation of online methods of data collection." Paediatric and Perinatal Epidemiology 34, no. 5 (December 23, 2019): 484–94. http://dx.doi.org/10.1111/ppe.12618.

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Loomis, David K., and Shona Paterson. "A comparison of data collection methods: Mail versus online surveys." Journal of Leisure Research 49, no. 2 (March 15, 2018): 133–49. http://dx.doi.org/10.1080/00222216.2018.1494418.

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Wharton, Christopher M., Jeffrey S. Hampl, Rick Hall, and Donna M. Winham. "PCs or paper-and-pencil: Online surveys for data collection." Journal of the American Dietetic Association 103, no. 11 (November 2003): 1458–59. http://dx.doi.org/10.1016/j.jada.2003.09.004.

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Handscomb, Lucy, Deborah A. Hall, Gillian W. Shorter, and Derek J. Hoare. "Online Data Collection to Evaluate a Theoretical Cognitive Model of Tinnitus." American Journal of Audiology 25, no. 3S (October 2016): 313–17. http://dx.doi.org/10.1044/2016_aja-16-0007.

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Purpose The purpose of this article is to describe data collection considerations, methods, and response rates for a survey available both online and on paper. Methodological issues in the design of online data collection, and advantages and disadvantages of different data collection methods are discussed. Method A survey was compiled that included 9 full or partial clinical questionnaires designed to measure different components relevant to tinnitus distress. It was completed once by 342 members of the public with tinnitus. Respondents could choose whether to complete the survey online or on paper . Results Ninety-five percent of participants chose to complete the survey online. The advantages of an online self-administered questionnaire include low numbers of unanswered questions, convenience (particularly in a longer survey such as this), a fast return rate, and reduced expense. Age emerged as an important variable, with those opting to complete the paper-based version of the survey being older. Conclusions Online data collection has several advantages to both participants and researchers. However, cross-sectional studies such as that presented here should also offer paper questionnaires to avoid excluding certain subgroups of the population. Ethics and reporting guidelines for Internet-delivered questionnaire studies are available. These can usefully inform study design and guide high-quality reporting.

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Ilieva, Janet, Steve Baron, and Nigel M. Healey. "Online Surveys in Marketing Research." International Journal of Market Research 44, no. 3 (May 2002): 1–14. http://dx.doi.org/10.1177/147078530204400303.

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In a recent article on conducting international marketing research in the twenty-first century (Craig & Douglas 2001), the application of new (electronic) technology for data collection was encouraged. Email and web-based data collection methods are attractive to researchers in international marketing because of low costs and fast response rates. Yet the conventional wisdom is that, as some people still do not have access to e-mail and the Internet, such data-collection techniques may often result in a sample of respondents that is not representative of the desired population. In this article we evaluate multimode strategies of data collection that include web-based, e-mail and postal methods as a means for the international marketing researcher to obtain survey data from a representative sample. An example is given of a multimode strategy applied to the collection of survey data from a sample of respondents across 100 countries.

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Park, Juhee. "An Actor-Network Perspective on Collections Documentation and Data Practices at Museums." Museum and Society 19, no. 2 (July 30, 2021): 237–51. http://dx.doi.org/10.29311/mas.v19i2.3455.

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The improvement of digital technology over recent decades has advanced the ability of museums to manage records of their collections and share them online. However, despite the rise of research in the area of digital heritage, less attention has been given to a sociotechnical perspective on such technology. Drawing upon concepts from Actor-Network Theory, this paper presents actors associated with the V&A’s collections management system and its online catalogue. Digital design objects, the museum’s new type of collection, are seen as a driving force for change in collections documentation practices. This paper argues for models of documentation to change from closed to open and participatory in order to (re)present such objects’ materiality in collection records through the voices of multiple actors. This paper, highlighting the agency of data and technology, increases our awareness of the potential consequences of museums’ data practices where the integration of advanced technology (e.g., AI) will be implemented in the future.

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Keusch, Florian, Bella Struminskaya, Christopher Antoun, Mick P. Couper, and Frauke Kreuter. "Willingness to Participate in Passive Mobile Data Collection." Public Opinion Quarterly 83, S1 (2019): 210–35. http://dx.doi.org/10.1093/poq/nfz007.

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Abstract The rising penetration of smartphones now gives researchers the chance to collect data from smartphone users through passive mobile data collection via apps. Examples of passively collected data include geolocation, physical movements, online behavior and browser history, and app usage. However, to passively collect data from smartphones, participants need to agree to download a research app to their smartphone. This leads to concerns about nonconsent and nonparticipation. In the current study, we assess the circumstances under which smartphone users are willing to participate in passive mobile data collection. We surveyed 1,947 members of a German nonprobability online panel who own a smartphone using vignettes that described hypothetical studies where data are automatically collected by a research app on a participant’s smartphone. The vignettes varied the levels of several dimensions of the hypothetical study, and respondents were asked to rate their willingness to participate in such a study. Willingness to participate in passive mobile data collection is strongly influenced by the incentive promised for study participation but also by other study characteristics (sponsor, duration of data collection period, option to switch off the app) as well as respondent characteristics (privacy and security concerns, smartphone experience).

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Marcell, Michael, and Amanda Falls. "Online data collection with special populations over the World Wide Web." Down Syndrome Research and Practice 7, no. 3 (2001): 106–23. http://dx.doi.org/10.3104/reports.120.

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Vaccarino, AL, TL Sills, M. Bharmal, E. Cascade, AH Kalali, and KR Evans. "PMC37 DOES DATA COLLECTION FROM ONLINE COMMUNITIES RESULT IN BIASED RESPONSE?" Value in Health 13, no. 7 (November 2010): A335. http://dx.doi.org/10.1016/s1098-3015(11)72320-8.

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Muriuki Njeru, Alexander. "IoTs for Data Collection and Trends Prediction of Online Learning Courses." Mathematics and Computer Science 5, no. 4 (2020): 72. http://dx.doi.org/10.11648/j.mcs.20200504.11.

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Revilla, Melanie, Carlos Ochoa, and Germán Loewe. "Using Passive Data From a Meter to Complement Survey Data in Order to Study Online Behavior." Social Science Computer Review 35, no. 4 (March 17, 2016): 521–36. http://dx.doi.org/10.1177/0894439316638457.

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Surveys have been used as main tool of data collection in many areas of research and for many years. However, the environment is changing increasingly quickly, creating new challenges and opportunities. This article argues that, in this new context, human memory limitations lead to inaccurate results when using surveys in order to study objective online behavior: People cannot recall everything they did. It therefore investigates the possibility of using, in addition to survey data, passive data from a tracking application (called a “meter”) installed on participants’ devices to register their online behavior. After evaluating the extent of some of the main drawbacks linked to passive data collection with a case study (Netquest metered panel in Spain), this article shows that the data from the web survey and the meter lead to very different results about the online behavior of the same sample of respondents, showing the need to combine several sources of data collection in the future.

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Macpherson, Diana, Sadie Mills, and Caroline Chin. "Managing Data in the NIWA Invertebrate Collection: Past and Present Methodology." Biodiversity Information Science and Standards 2 (June 13, 2018): e25786. http://dx.doi.org/10.3897/biss.2.25786.

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The National Institute of Water and Atmospheric Research (NIWA) Invertebrate Collection is a Nationally Significant Collection consisting of around 300,000 marine invertebrate specimen jars housed at the NIWA Greta Point campus in Wellington, New Zealand. Our collection holdings include samples from New Zealand, Antarctic and Pacific waters and represent over 70 years of collecting and is still growing. We estimate approximately 40% of our collections are registered and digitally accessible (about 127,000 records since digital registering began in 2004), with most of our unregistered material being historical collections. We are the repository for several important historical collections, one of the largest being the former New Zealand Oceanographic Institute (NZOI) collection, a taxonomically diverse and a geographically wide-ranging collection which occurred from the 1950’s to the early 1990’s. Associated specimen information such as station data and taxonomic identification for these historical collections are managed by NIWA staff and are in the form of Microsoft Excel and Access spreadsheets, NIWA and NZOI Biodiversity Memoirs, and online via the NIWA cruise and station database. These data are manually collated and registered into our Specify collections software specimen database which offers a unified and comprehensive data repository for our historical specimens, therefore greatly improving data accessibility. To expedite the availability of data and improve access to specimens for our users we are focusing on the registration of both important historical and taxonomic collections, and streamlining the registration of specimens in the field onboard NIWA's research vessel Tangaroa. Our field registration and curation techniques have been fine-tuned over the years and now we are capturing data directly into a shipboard copy of Specify in the sorting lab on the ship, printing labels with a thermal printer, and importing data back to our home version following the end of the voyage using Specify's Workbench feature. This process reduces the time spent double-handling specimens and entering data off paper record sheets and allows the capture of data directly into our database immediately after collection and sorting onboard the ship.

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Solanki, Hariom Kumar, Giridara Gopal P, and Rama Shankar Rath. "Common Pitfalls in using Online Platforms for Data collection in COVID times and its implications." Nepal Journal of Epidemiology 10, no. 4 (December 31, 2020): 930–32. http://dx.doi.org/10.3126/nje.v10i4.31614.

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In recent COVID-19 times conducting online research is the only feasible type of research for many authors. However, like other methods of data collection this method also bears some inherent issues linked to method of the study. The authors must understand the common pitfalls related to online data collection before planning and before interpreting the results. This letter mainly deals with the issues related to the online data collection.

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Zhang, Y., C. C. Wang, and J. Q. Chen. "Chinese online consumers' responses to web-based data collection efforts: A comparison with American online consumers." Journal of Database Marketing & Customer Strategy Management 8, no. 4 (July 2001): 360–69. http://dx.doi.org/10.1057/palgrave.jdm.3240050.

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Hannam, Severine, and Elle Keen. "Data Enrichment Facilitated by Existing Inter-Disciplinary Expertise at Auckland War Memorial Museum." Biodiversity Information Science and Standards 2 (March 16, 2018): e25937. http://dx.doi.org/10.3897/biss.2.25937.

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Tamaki Paenga Hira - Auckland War Memorial Museum cares for documentary heritage, human history and natural sciences collections. Diversity in our collections has facilitated significant collaboration across collection professionals, scientists and cultural knowledge holders. Human history objects from our Pacific nations are primarily made using natural resources which present commonality in terms of care and needs between the Pacific and the Natural Sciences stores. Auckland Museum’s Pacific Collection Access Project enriches records of Pacific objects by working with Cultural Knowledge Holders from Auckland’s Pacific communities. Information is shared online to enact a visible expression of “Teu Le Vā” (Pacific dimension of nurturing relationships). Our project encourages collaboration between collection managers through the sharing of internal resources and expertise to enhance the Pacific collection’s data, for example by applying a Natural Science context to Human History objects. By adding the scientific name of naturally sourced materials of these objects we create a depth of knowledge about the collections. Marine sourced objects as a primary focus showed the frequent use of Gastropoda, Bivalvia and Marine mammal teeth. A significant challenge is identifying highly modified objects. By making this information available to the public we are welcoming discussions and input from the scientific community as well as the wider public. The significance of a Museum collection is closely related to its exposure and the interests it gets. Through Collections Online and Google Arts & Culture we are hoping to increase visibility of the links between our two collections and provide a wider search result using Linked Open Data. Future possibilities in curatorial research in Natural Sciences and Human History will follow on from this data enrichment.

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Chandler, Jesse J. "Surveying Vocational Rehabilitation Applicants Online: A Feasibility Study." Journal of Disability Policy Studies 30, no. 3 (April 8, 2019): 164–73. http://dx.doi.org/10.1177/1044207319835188.

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Web surveys enable efficient data collection, but their usefulness is potentially limited when studying people with disabilities, who often lack Internet access. We test the feasibility of collecting web survey data from a sample of state vocational rehabilitation (VR) applicants, inviting nonrespondents to complete a telephone interview instead. People who lacked Internet access were provided with a mobile device and wireless access and were as likely to complete the web surveys as people who already had Internet access. Respondents who elected to complete the survey online versus by telephone differed in level of education and VR experience. These findings suggest that for disability studies, web surveys are an important supplement to, but not a replacement for, traditional data collection efforts.

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Samimi, Amir, Abolfazl Mohammadian, and Kazuya Kawamura. "A nationwide web-based freight data collection." Canadian Journal of Civil Engineering 40, no. 2 (February 2013): 114–20. http://dx.doi.org/10.1139/cjce-2011-0555.

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A limited number of studies have tried to apply behavioral models to freight policy analysis, but due to the lack of data, most have not produced satisfactory results. Many decision-makers are unwilling to participate in surveys that inquire about their shipping decisions, since such information is an important part of their business strategies, and understandably, they fear jeopardizing their competitive edge by participating. This results in generally poor participation rates for freight surveys and makes them very expensive in many cases. However, recent empirical findings suggest that the linkage between non-response rates and non-response biases is often nonexistent. This paper examines a non-response bias analysis in an online establishment survey that was conducted to obtain data for the on-going development of behavioral microsimulation freight model. The survey method, design, and challenges in obtaining the shipping information from the companies are also discussed in this study.

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Borden, Lynne M., Christine Bracamonte Wiggs, Amy Schaller, and Gabriel L. Schlomer. "Engaging Youth in Evaluation: Using Clickers for Data Collection." Journal of Youth Development 7, no. 1 (March 1, 2012): 147–51. http://dx.doi.org/10.5195/jyd.2012.159.

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Now, more than ever, evaluation is an essential component for all programs. Although the need for outcome data is clear, collecting data from youth populations is often difficult, particularly among youth who are vulnerable and/or disenfranchised. While the use of paper-and-pencil (PAP) surveys is a commonly used method of data collection, different technological methods, such as online surveys, text messaging, and personal digital assistants (PDA’s), are increasingly employed in data collection efforts. This article explores the use of audience response systems (“clickers”) as an innovative data collection method that is especially suited for use with youth. In this paper we examine qualitative findings from key informant interviews regarding data collected from youth participants on a youth program quality measure using clicker technology. Findings from the study indicate that the use of clickers may increase youth engagement in and improve the efficiency of the data collection process.

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Edwards, Rachel, Archie Campbell, and David Porteous. "Generation Scotland participant survey on data collection." Wellcome Open Research 4 (July 25, 2019): 111. http://dx.doi.org/10.12688/wellcomeopenres.15354.1.

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Background: Generation Scotland (GS) is a population and family-based study of genetic and environmental health determinants. Recruitment to the Scottish Family Health Study component of GS took place between 2006-2011. Participants were aged 18 or over and consented to genetic studies, linkage to health records and recontact. Several recontact exercises have been successfully conducted aimed at a) recruitment to embedded or partner studies and b) the collection of additional data. As the cohort matures in age, we were interested in surveying attitudes to potential new approaches to data collection and recruitment. Methods: A ten-question online survey was sent to those participants who provided an email address. Results: We report a high level of positive responses to encouraging relatives to participate, to remote data and sample collection and for research access to stored newborn dried blood spots. Conclusions: The majority of current and prospective GS participants are likely to respond positively to future requests for remote data and sample collection.

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Edwards, Rachel, Archie Campbell, and David Porteous. "Generation Scotland participant survey on data collection." Wellcome Open Research 4 (December 13, 2019): 111. http://dx.doi.org/10.12688/wellcomeopenres.15354.2.

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Background: Generation Scotland (GS) is a population and family-based study of genetic and environmental health determinants. Recruitment to the Scottish Family Health Study component of GS took place between 2006-2011. Participants were aged 18 or over and consented to genetic studies, linkage to health records and recontact. Several recontact exercises have been successfully conducted aimed at a) recruitment to embedded or partner studies and b) the collection of additional data. As the cohort matures in age, we were interested in surveying attitudes to potential new approaches to data collection and recruitment. Methods: A ten-question online survey was sent to those participants who provided an email address. Results: We report a high level of positive responses to encouraging relatives to participate, to remote data and sample collection and for research access to stored newborn dried blood spots. Conclusions: The majority of current and prospective GS participants are likely to respond positively to future requests for remote data and sample collection.

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Curasi, Carolyn Folkman. "A Critical Exploration of Face-to Face Interviewing vs. Computer-Mediated Interviewing." International Journal of Market Research 43, no. 4 (July 2001): 1–13. http://dx.doi.org/10.1177/147078530104300402.

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Since the early 1990s, the internet has dominated the attention of the media, academics and business organisations. It has the potential of being a revolutionary way to collect primary and secondary data, although much more research is needed to learn how to better harness its strengths. This project compares depth interviews collected online with depth interviews conducted face-to-face. Advantages and disadvantages are highlighted, as well as suggested strategies for successfully collecting online data. Major points are illustrated using data from a project in which both data collection techniques are employed. The online interview dataset included some of the strongest and some of the weakest interviews in the investigation. This paper argues that under some conditions online depth interviews can provide a useful complement to the traditional face-to-face interview. Sampling frame problems of non-representativeness, endemic in quantitative online data collection, is not problematic if the researcher is conducting an interpretive investigation. When the researcher's goal is not to quantify or generalise but instead to better understand a particular population, online data collection can complement other datasets, allow data triangulation and strengthen the trustworthiness of the findings.

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Tahar, Afrizal, and Delvina Dwi Septiani. "Pengenaan Pajak Penghasilan terhadap Pengusaha dalam Transaksi Perdagangan Online (E-commerce) Studi Pengusaha Online di Yogyakarta." E-Jurnal Akuntansi 31, no. 6 (June 26, 2021): 1390. http://dx.doi.org/10.24843/eja.2021.v31.i06.p03.

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This research was conducted to examine the imposition of income tax on entrepreneurs in online trading transactions. This study aimed to know online entrepreneurs’ perceptions regarding the implementation of e-commerce income tax. This study employed semi-structured interview techniques to obtain the necessary information in data collection. The informants in the study were selected by purposive sampling, and they came from KPP Pratama Yogyakarta, Tax Consultants in Yogyakarta, Tax Experts in Yogyakarta, Information Technology Experts in Yogyakarta, and Online Business Entrepreneurs domiciled in Yogyakarta. This study’s findings revealed that the income of online business entrepreneurs is the tax’s object, and the collection is the same as other tax collections. Online entrepreneurs agreed to be taxed but only within specific transaction limits. Keywords: Income Tax; Taxpayer’s Awareness; E-Commerce.

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Kerber Cavalcanti Lemos, André Vitor, Moises Cohen, and Nacime Salomão Barbachan Mansur. "TL 18245 - Analysis of the efficacy of clinical data collection in orthopedic patients using online questionnaires." Scientific Journal of the Foot & Ankle 13, Supl 1 (November 11, 2019): 114S. http://dx.doi.org/10.30795/scijfootankle.2019.v13.1092.

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Introduction: Clinical data collection is an essential stage in the development of any scientific research study. The recruitment of patients to research centers for data collection may be considerably difficult in some situations. There are few studies examining the use of distance evaluations conducted with digital and online tools. The use of information technology and the Internet to collect clinical data for scientific studies in orthopedics in Brazil remains somewhat limited; nonetheless, such approaches may provide several benefits to and facilitate data collection for Brazilian researchers. Methods: We performed a descriptive, observational study with printed or online (using an electronic device, such as computer, tablet or cell phone) self-administered questionnaires. Data from 40 patients (22 women; 18 men) with a mean age of 36.9 years (min: 15 years; max: 65 years) who were undergoing orthopedic follow-up for acute ankle sprain were collected using the Foot Function Index (FFI), Physical Function, Cumberland Ankle Instability Tool (CAIT), and visual analog scale (VAS) questionnaires. The questionnaires were administered at 4 different times: at the initial evaluation and at 3 weeks, 6 weeks and 12 weeks. Results: A comparative group analysis (digital, online data collection vs physical data collection) showed a higher level of collection of all data for each patient when the online questionnaires were used (87.5% vs 45% p<0.005), along with a higher accuracy of data collection (standard deviation (SD): 1.26; 2.3318; 1.6393 vs SD: 2.948; 3.807; 8.1189 p<0.005). Conclusion: Data collection using a remote approach through digital online forms (Internet) was highly effective in increasing the rate of response to long-term orthopedic follow-up questionnaires and showed improved data quality (decreased variability in collection dates), thus rendering online data more reliable for intergroup comparison.

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Matzat, Uwe, and Chris Snijders. "Does the online collection of ego-centered network data reduce data quality? An experimental comparison." Social Networks 32, no. 2 (May 2010): 105–11. http://dx.doi.org/10.1016/j.socnet.2009.08.002.

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Gregory, Virgil L., and Cathy King Pike. "Missing Data: A Comparison of Online and Classroom Data Collection Methods With Social Work Students." Journal of Social Service Research 38, no. 3 (May 2012): 351–65. http://dx.doi.org/10.1080/01488376.2011.641076.

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HOFFMANN, LEIF. "Data Collection Online: Techniques and Traps When Searching for (Treaty-Related) Data on the WWW." International Studies Perspectives 8, no. 2 (May 2007): iv—vi. http://dx.doi.org/10.1111/j.1528-3585.2007.00283.x.

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