Relevant bibliographies by topics / Digital data collection

Academic literature on the topic 'Digital data collection'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Digital data collection"

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Ingram, Kelly, Ferenc Bunta, and David Ingram. "Digital Data Collection and Analysis." Language, Speech, and Hearing Services in Schools 35, no. 2 (April 2004): 112–21. http://dx.doi.org/10.1044/0161-1461(2004/013).

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Technology for digital speech recording and speech analysis is now readily available for all clinicians who use a computer. This article discusses some advantages of moving from analog to digital recordings and outlines basic recording procedures. The purpose of this article is to familiarize speech-language pathologists with computerized audio files and the benefits of working with those sound files as opposed to using analog recordings. This article addresses transcription issues and offers practical examples of various functions, such as playback, editing sound files, using waveform displays, and extracting utterances. An appendix is provided that describes step-by-step how digital recording can be done. It also provides some editing examples and a list of useful computer programs for audio editing and speech analyses. In addition, this article includes suggestions for clinical uses in both the assessment and the treatment of various speech and language disorders.
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Reed, Denné, W. Andrew Barr, Shannon P. Mcpherron, René Bobe, Denis Geraads, Jonathan G. Wynn, and Zeresenay Alemseged. "Digital data collection in paleoanthropology." Evolutionary Anthropology: Issues, News, and Reviews 24, no. 6 (November 2015): 238–49. http://dx.doi.org/10.1002/evan.21466.

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Muse, Evan D., and Eric J. Topol. "Digital orthodoxy of human data collection." Lancet 394, no. 10198 (August 2019): 556. http://dx.doi.org/10.1016/s0140-6736(19)31727-1.

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Matturi, Kai. "Using Digital Data Gathering to improve data collection." Development in Practice 26, no. 1 (December 15, 2015): 52–63. http://dx.doi.org/10.1080/09614524.2016.1117578.

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Khyzhniak, I. A. "MEASUREMENT DATA COLLECTION DEVICE FOR DIGITAL LABORATORY." Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences, no. 6 (2021): 280–84. http://dx.doi.org/10.32838/2663-5941/2021.6/45.

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Grubbs, W. Tandy. "The JCE Data-Driven Exercises Digital Collection." Journal of Chemical Education 86, no. 6 (June 2009): 763. http://dx.doi.org/10.1021/ed086p763.

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Inman-Narahari, Faith, Christian Giardina, Rebecca Ostertag, Susan Cordell, and Lawren Sack. "Digital data collection in forest dynamics plots." Methods in Ecology and Evolution 1, no. 3 (May 24, 2010): 274–79. http://dx.doi.org/10.1111/j.2041-210x.2010.00034.x.

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Beebe, Caroline. "Standard Descriptive Vocabulary and Archaeology Digital Data Collection." Advances in Archaeological Practice 5, no. 3 (July 19, 2017): 250–64. http://dx.doi.org/10.1017/aap.2017.15.

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ABSTRACTArchaeology has embraced the shift to digital technology for collecting, analyzing, and sharing data. Digital repositories are now recognized as essential for data stewardship and are setting standards for data deposition. These new technologies and systems support the scientific need for reproducible results through intra-cultural as well as cross-cultural hypothesis testing. Methods of digital data collection in the field, however, are often site specific, restricted by the limited availability of digital technologies, or not well suited for creating systems that support the requirements of the new digital information paradigm. As a small science project, the Chau Hiix Project in Belize will provide examples of the pitfalls in and insights about shifting to digital technology to make its primary data shareable and reusable. These experiences suggest the need for an international collaborative agenda that develops digital data description standards based on controlled vocabulary, facet analysis, and crosswalks implemented at the analog point of collection.
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Oostra, B. Baljet, R. J. "Digital data and the 19th century teratology collection." Journal of Audiovisual Media in Medicine 22, no. 4 (January 1999): 186–94. http://dx.doi.org/10.1080/014051199101972.

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Li, Hongtao, Jianfeng Ma, and Shuai Fu. "An anonymous data collection framework for digital community." Wuhan University Journal of Natural Sciences 18, no. 5 (October 2013): 385–92. http://dx.doi.org/10.1007/s11859-013-0946-4.

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Dissertations / Theses on the topic "Digital data collection"

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Brewer, Peter W., and Christopher H. Guiterman. "A new digital field data collection system for dendrochronology." Laboratory of Tree-Ring Research, University of Arizona, 2016. http://hdl.handle.net/10150/622364.

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A wide variety of information or 'metadata' is required when undertaking dendrochronological sampling. Traditionally, researchers record observations and measurements on field notebooks and/or paper recording forms, and use digital cameras and hand-held GPS devices to capture images and record locations. In the lab, field notes are often manually entered into spreadsheets or personal databases, which are then sometimes linked to images and GPS waypoints. This process is both time consuming and prone to human and instrument error. Specialised hardware technology exists to marry these data sources, but costs can be prohibitive for small scale operations (>$2000 USD). Such systems often include proprietary software that is tailored to very specific needs and might require a high level of expertise to use. We report on the successful testing and deployment of a dendrochronological field data collection system utilising affordable off-the-shelf devices ($100-300 USD). The method builds upon established open source software that has been widely used in developing countries for public health projects as well as to assist in disaster recovery operations. It includes customisable forms for digital data entry in the field, and a marrying of accurate GPS location with geotagged photographs (with possible extensions to other measuring devices via Bluetooth) into structured data fields that are easy to learn and operate. Digital data collection is less prone to human error and efficiently captures a range of important metadata. In our experience, the hardware proved field worthy in terms of size, ruggedness, and dependability (e.g., battery life). The system integrates directly with the Tellervo software to both create forms and populate the database, providing end users with the ability to tailor the solution to their particular field data collection needs.
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Smith, Darren C., and Dean Tenderholt. "Development Goals for a Digital Airborne Recorder." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/609827.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada
This paper addresses the development requirements for a digital recorder to be used for fighter environment and attack Helicopter applications. This development is focused on triservice requirements to allow for a common system to meet the needs of various test centers.
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Monte, Jamie Marie, and Jamie Marie Monte. "ROCK MASS CHARACTERIZATION USING LASER SCANNING AND DIGITAL IMAGING DATA COLLECTION TECHNIQUES." Thesis, The University of Arizona, 2004. http://hdl.handle.net/10150/621370.

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The primary focus of this research is to evaluate whether laser scanning and digital imaging can provide a reliable means to collect essential rock mass data. Simulated and field case studies were conducted to determine if fracture orientation data (dip angle and dip direction) can be accurately estimated from a laser generated three - dimensional point cloud. Orientations measured with a Brunton Compass were compared to values derived from point clouds. The difference in dip direction was within three degrees and as high as twelve degrees for the dip angle. When fracture sets were estimated for both field and laser data, good correlation in mean set orientation and set distribution was observed. Some sets recorded during field mapping were absent in stereo plots of laser derived data due to a shadow zone created during scanning. This indicated that scanning from multiple locations is necessary to reduce potentially missed data. This thesis also investigated whether the newly proposed Digital Rock Mass Rating (DRMR) system could classify rock masses similar to established systems such as the Geological Strength Index (GSI). The seven DRMR parameters, fracture spacing, length, large -scale roughness, block volume, rock bridge percent, and rock mass texture were calculated for images of poor to good rock masses. When DRMR values were compared to GSI ratings estimated during field work, good correlation was seen for good quality rock masses (GSI between 40 and 60). The DRMR overestimated ratings for outcrops with GSI values less than 40, indicating that the rating system may not be applicable for poor quality rock masses. Additional case studies are needed to further validate the DRMR classification system.
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Fröderberg, Shaiek Emma. "Excessive Data Collection as an Abuse of Dominant Position." Thesis, Stockholms universitet, Juridiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-194959.

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Yee, Tze-Sung. "A hardware based optical digital code scanning system." Ohio : Ohio University, 1988. http://www.ohiolink.edu/etd/view.cgi?ohiou1182536210.

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Tidball, John E. "REAL-TIME HIGH SPEED DATA COLLECTION SYSTEM WITH ADVANCED DATA LINKS." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/609754.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada
The purpose of this paper is to describe the development of a very high-speed instrumentation and digital data recording system. The system converts multiple asynchronous analog signals to digital data, forms the data into packets, transmits the packets across fiber-optic lines and routes the data packets to destinations such as high speed recorders, hard disks, Ethernet, and data processing. This system is capable of collecting approximately one hundred megabytes per second of filtered packetized data. The significant system features are its design methodology, system configuration, decoupled interfaces, data as packets, the use of RACEway data and VME control buses, distributed processing on mixedvendor PowerPCs, real-time resource management objects, and an extendible and flexible configuration.
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Stykow, Henriette. "Small data on a large scale : Torn between convenience and surveillance." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-110630.

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Technology has become an inherent part of our daily lives. If we don’t want to abstain from the benefits technology brings, we have to acknowledge the fact that tech generates data and adjust our norms and habits to it. This thesis critiques how corporations and governmental institutions collect, store and analyze data of individuals. It discusses the economic and technological forces that stand behind the collection and usage of data in the past, today, and the near future. Beyond that, it alludes to political implications. The overarching goal is to stimulate reflection about culture and future. To achieve that, the design of an interactive educational web story within the browser is proposed. A curated personal data platform in combination with interactive web stories make data collection, data usage, and the risks of data aggregation visible. Business practices and interests are rendered transparent on the basis of users’ actual online behavior and exposure. The web stories allows to understand the meaning and value of the data traces users leave online. In five chapters, they experience the basic technologies of the Internet, business motivations, and surveillance practices in the context of their individual web browsing behavior. Each chapter invites to explore details of the topic to accommodate for individual need and interest in the matter. A critical reflection on the future of data collection is encouraged, tools and settings within the browser help users to protect their digital identities.
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Palencia, Arreola Daniel Heriberto. "Arguments for and field experiments in democratizing digital data collection : the case of Flocktracker." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121749.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages [127]-131).
Data is becoming increasingly relevant to urban planning, serving as a key input for many conceptions of a "smart city." However, most urban data generation results from top-down processes, driven by government agencies or large companies. This provides limited opportunities for citizens to participate in the ideation and creation of the data used to ultimately gain insights into, and make decisions about, their communities. Digital community data collection can give more inputs to city planners and decision makers while also empowering communities. This thesis derives arguments from the literature about why it would be helpful to have more participation from citizens in data generation and examines digital community mapping as a potential niche for the democratization of digital data collection.
In this thesis, I examine one specific digital data collection technology, Flocktracker, a smartphone-based tool developed to allow users with no technical background to setup and generate their own data collection projects. I define a model of how digital community data collection could be "democratized" with the use of Flocktracker. The model envisions a process in which "seed" projects lead to a spreading of Flocktracker's use across the sociotechnical landscape, eventually producing self-sustaining networks of data collectors in a community. To test the model, the experimental part of this research examines four different experiments using Flocktracker: one in Tlalnepantla, Mexico and three in Surakarta, Indonesia. These experiments are treated as "seed" projects in the democratization model and were setup in partnership with local NGOs.
The experiments were designed to help understand whether citizen participation in digital community mapping events might affect their perceptions about open data and the role of participation in community data collection and whether this participation entices them to create other community datasets on their own, thus starting the democratization process. The results from the experiments reveal the difficulties in motivating community volunteers to participate in technology-based field data collection. While Flocktracker proved easy enough for the partner organizations to create data collection projects, the technology alone does not guarantee participation. The envisioned "democratization" model could not be validated. Each of the experiments had relatively low levels of participation in the community events that were organized.
This low participation, in turn, led to inconclusive findings regarding the effects of community mapping on participants' perceptions and on the organizations themselves. Nonetheless, numerous insights emerge, providing lessons for the technology and how it might be better used in the future to improve digital community mapping events.
by Daniel Heriberto Palencia Arreola.
M.C.P.
M.C.P. Massachusetts Institute of Technology, Department of Urban Studies and Planning
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Pellegrino, Gregory S. "Design of a Low-Cost Data Acquisition System for Rotordynamic Data Collection." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1978.

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A data acquisition system (DAQ) was designed based on the use of a STM32 microcontroller. Its purpose is to provide a transparent and low-cost alternative to commercially available DAQs, providing educators a means to teach students about the process through which data are collected as well as the uses of collected data. The DAQ was designed to collect data from rotating machinery spinning at a speed up to 10,000 RPM and send this data to a computer through a USB 2.0 full-speed connection. Multitasking code was written for the DAQ to allow for data to be simultaneously collected and transferred over USB. Additionally, a console application was created to control the DAQ and read data, and MATLAB code written to analyze the data. The DAQ was compared against a custom assembled National Instruments CompactDAQ system. Using a Bentley-Nevada RK 4 Rotor Kit, data was simultaneously collected using both DAQs. Analysis of this data shows the capabilities and limitations of the low cost DAQ compared to the custom CompactDAQ.
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Swartz, Clinton Keith. "Digital data collection and analysis: what are the effects on students' understanding of chemistry concepts." Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/swartz/SwartzC0812.pdf.

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In this project, digital data collection and analysis methods were implemented to determine their effects on student understanding of chemistry concepts, data analysis and conclusion making skills, and motivation. Teacher attitude and motivation were also determined. The students included in the project were from a 10th grade chemistry class, which included 25 students. Students completed a non-treatment unit in which data collection and analysis were completed without the use of technology. Digital data collection and analysis were then added to experiments and class activities during two treatment units. The digital data collection and analysis tools included data collection interfaces and probes, graphing software and simulations. The non-treatment unit and treatment units were then compared to determine the effectiveness of the intervention. Students understanding of chemistry concepts, data analysis and conclusion making, and motivation increased slightly after the treatment units. Teacher attitude and motivation also showed an increase. This project showed that the use of digital data collection and analysis has positive effects on both the students and the teacher.
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Books on the topic "Digital data collection"

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Spencer, Charles D. Digital design for computer data acquisition. Cambridge [England]: Cambridge University Press, 1990.

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Howland, Jonathan C. Digital data logging and processing, Derbyshire Survey, 1997. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1999.

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J, Comer David, ed. Physical data acquisition for digital processing: Components, parameters, and specifications. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Digital collections: Museums and the information age. Oxford, [England]: Butterworth-Heinemann, 1998.

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Morris, Steven P. Issues in the appraisal and selection of geospatial data: An NDSA report. [Washington, D.C.]: National Digital Stewardship Alliance, 2013.

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Parry, Ross. Museums in a digital age. Milton Park, Abingdon, Oxon: Routledge, 2009.

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Parry, Ross. Museums in a digital age. Milton Park, Abingdon, Oxon: Routledge, 2009.

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Jaffrey, Andrew. The digital representation of cartographic data in the form of a G.I.S. refuse collection management system. [s.l: The Author], 1999.

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Keithley, Instruments Inc. Data acquisition and control handbook: A guide to hardware and software for computer-based measurement and control. Cleveland, Ohio: Keithley Instruments, Inc., 2001.

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Howe, Roger. An assessment of the feasibility of developing and implementing an automated pavement distress survey system incorporating digital image processing. Charlottesville, Va: Virginia Transportation Research Council, 1997.

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Book chapters on the topic "Digital data collection"

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Dawson, Catherine. "Data collection and conversion." In A–Z of Digital Research Methods, 73–78. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-12.

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Theres, Christian. "Data Collection and Findings." In Antecedents and Consequences of Digital Human Resource Management, 107–76. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-35116-8_4.

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Rafanell, Irene, and Maja Sawicka. "Methodology and Methods of Data Collection." In Emotions in Digital Interactions, 53–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21998-7_6.

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Tibaut, Andrej, Branko Kaučič, and Daniela Dvornik Perhavec. "Ontology-Based Data Collection for Heritage Buildings." In Digital Cultural Heritage, 63–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75826-8_6.

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Cunningham, Sally Jo, David Bainbridge, and Annette Bainbridge. "Exploring Personal Music Collection Behavior." In Digital Libraries: Data, Information, and Knowledge for Digital Lives, 295–306. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70232-2_25.

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Fielding, Nigel G. "Combining Digital and Physical Data." In The SAGE Handbook of Qualitative Data Collection, 584–98. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP: SAGE Publications Ltd, 2018. http://dx.doi.org/10.4135/9781526416070.n37.

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Tiidenberg, Katrin. "Ethics in Digital Research." In The SAGE Handbook of Qualitative Data Collection, 466–79. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP: SAGE Publications Ltd, 2018. http://dx.doi.org/10.4135/9781526416070.n30.

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Lindgren, Simon. "The Concept of ‘Data’ in Digital Research." In The SAGE Handbook of Qualitative Data Collection, 441–50. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP: SAGE Publications Ltd, 2018. http://dx.doi.org/10.4135/9781526416070.n28.

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Gueguen, Gaël, and Saïd Yami. "The Internet in the Process of Data Collection and Dissemination." In Digital Cognitive Technologies, 373–88. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118599761.ch24.

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Golubchik, Leana. "Scalable Data Collection for Internet-based Digital Government Applications." In Advances in Digital Government, 107–19. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/0-306-47374-7_6.

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Conference papers on the topic "Digital data collection"

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Syed, Saba, and Vaibhav Anu. "Digital Evidence Data Collection: Cloud Challenges." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9672014.

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Hattas, Mahier, and Mariki Eloff. "Secure Digital Data Collection in household surveys." In AFRICON 2011. IEEE, 2011. http://dx.doi.org/10.1109/afrcon.2011.6072142.

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Yang, Bo, and Jian Qin. "Data collection system for link analysis." In 2008 Third International Conference on Digital Information Management (ICDIM). IEEE, 2008. http://dx.doi.org/10.1109/icdim.2008.4746781.

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Jacobellis, Michael, and Mohammad Ilbeigi. "Digital Twin Cities: Data Availability and Systematic Data Collection." In Construction Research Congress 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784483954.045.

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McCoy, Robert Hershal. "Effective Use of LEO Satellites for Well Data Collection." In SPE Digital Energy Conference and Exhibition. Society of Petroleum Engineers, 2009. http://dx.doi.org/10.2118/123143-ms.

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Biswas, S., G. Cormode, and C. Maple. "Impact of sampling on locally differentially private data collection." In Competitive Advantage in the Digital Economy (CADE 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.2042.

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Seema, K. N., and S. Jebaraj. "Secure data collection in clustered WSNs using digital signature." In 2014 2nd International Conference on Current Trends in Engineering and Technology (ICCTET). IEEE, 2014. http://dx.doi.org/10.1109/icctet.2014.6966356.

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Mouri, Kousuke, Noriko Uosaki, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko, and Hiroaki Ogata. "Redesign of a Data Collection in Digital Textbook Systems." In 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2018. http://dx.doi.org/10.1109/iiai-aai.2018.00192.

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Hopper, Jeff, Susan Bauman, Nickolas Faust, Robert Smith, and Marshall Weathersby. "A Digital Infrared Imagery Data Collection And Analysis System." In 1986 Technical Symposium Southeast, edited by Irving R. Abel. SPIE, 1986. http://dx.doi.org/10.1117/12.964204.

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Supriyanto, Jefree Fahana, and Sugeng Handoko. "Gamification to Improve Digital Data Collection in Ecotourism Management." In 2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT). IEEE, 2018. http://dx.doi.org/10.1109/eiconcit.2018.8878581.

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Reports on the topic "Digital data collection"

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Lombardini, Simone, Alexia Pretari, and Emily Tomkys Valteri. Going Digital: Improving data quality with digital data collection. Oxfam GB, July 2018. http://dx.doi.org/10.21201/2018.3071.

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Rumble, Mark A., Thomas M. Juntti, Thomas W. Bonnot, and Joshua J. Millspaugh. Digital voice recording: An efficient alternative for data collection. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2009. http://dx.doi.org/10.2737/rmrs-rn-38.

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Rumble, Mark A., Thomas M. Juntti, Thomas W. Bonnot, and Joshua J. Millspaugh. Digital voice recording: An efficient alternative for data collection. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2009. http://dx.doi.org/10.2737/rmrs-rn-38.

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Rochelle, J. A TEST TO DEMONSTRATE A DIGITAL WEB-BASED OILFIELD DATA COLLECTION SERVICE. Office of Scientific and Technical Information (OSTI), September 2001. http://dx.doi.org/10.2172/793840.

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Haring, Christopher. Data collection tools for river geomorphology studies : LiDAR and traditional methods. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42502.

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The purpose of this review is to highlight LiDAR data usage for geomorphic studies and compare to other remote sensing technologies. This review further identifies survey efficiencies and issues that can be problematic in using LiDAR digital elevation models (DEMs) in completing surveys and geomorphic analysis. US Army Corps of Engineers (USACE) geospatial data collection guidance (EM 1110-1-1000) (USACE 2015) aligns with the American Society for Photogrammetry and Remote Sensing Positional Accuracy Standards for Digital Geospatial Data (ASPRS 2014). Geomorphic assessment technologies are rapidly evolving, and LiDAR data collection methods are at the forefront. The FluvialGeomorph (FG) toolbox, developed to support USACE watershed planning, is a recent example of the use of LiDAR high-resolution terrain data to provide a new, efficient approach for rapid watershed assessments (Haring et al. 2020; Haring and Biedenharn 2021). However, there are advantages and disadvantages in using LiDAR data compared to other remote sensing technologies and traditional topographic field survey methods.
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Wetzel, Deborah, Fátima Cartaxo, Ricardo Poppi, and Mariano Lafuente. Data-driven Digital Innovation to Strengthen Integrity: TCU’s Payroll Oversight in Brazil. Inter-American Development Bank, November 2022. http://dx.doi.org/10.18235/0004549.

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This technical note documents the Continuous Payroll Audit Initiative within Brazils Court of Accounts (Tribunal de Contas da Unio, or TCU), presents its lessons learned, and makes recommendations that could improve its results. This initiative uses digital tools such as data analytics to proactively identify and address incorrect and/or illicit payments in the federal civil service and pension payroll. As of 2021, the initiative had led to savings close to $R 2 billion (US$515 million). The study demonstrates that a small team using the right technology can be very effective in rooting out irregularities in a complex system. However, technological innovation is not sufficient to address these issues. Broader systemic reforms in information collection and compliance are required for the system to fully achieve its goals. Given these results, this case could serve as reference for other supreme audit institutions around the world that are seeking to combat fraud and corruption.
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7

Rathinam, Francis, P. Thissen, and M. Gaarder. Using big data for impact evaluations. Centre of Excellence for Development Impact and Learning (CEDIL), February 2021. http://dx.doi.org/10.51744/cmb2.

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The amount of big data available has exploded with recent innovations in satellites, sensors, mobile devices, call detail records, social media applications, and digital business records. Big data offers great potential for examining whether programmes and policies work, particularly in contexts where traditional methods of data collection are challenging. During pandemics, conflicts, and humanitarian emergency situations, data collection can be challenging or even impossible. This CEDIL Methods Brief takes a step-by-step, practical approach to guide researchers designing impact evaluations based on big data. This brief is based on the CEDIL Methods Working Paper on ‘Using big data for evaluating development outcomes: a systematic map’.
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8

Nudson, O. N., C. D. Ramey, and M. D. Hendricks. AK DGGS' Hardware Solution for Collaborative Field Data Collection (presentation): Geological Survey Digital Mapping Techniques Workshop Series DMT2022, Jun 23-25, 2022, Rolla, Missouri. Alaska Division of Geological & Geophysical Surveys, May 2022. http://dx.doi.org/10.14509/30872.

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9

Harris, Melissa, and Alexia Pretari. Going Digital – Computer-Assisted Telephone Interviewing (CATI): Lessons learned from a pilot study. Oxfam GB, May 2021. http://dx.doi.org/10.21201/2021.7581.

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In this sixth instalment of the Going Digital Series, we share our experiences of using computer-assisted telephone interviewing (CATI) software, which was researched and piloted following the outbreak of COVID-19 and the subsequent need for improved remote data collection practices. CATI is a survey technique in which interviews are conducted via a phone call, using an electronic device to follow a survey script and enter the information collected. This paper looks at the experience of piloting the technique in phone interviews with women in Kirkuk Governorate, Iraq.
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Mathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.

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Agencies use a variety of technologies and data providers to obtain travel time information. The best quality data can be obtained from second-by-second tracking of vehicles, but that data presents many challenges in terms of privacy, storage requirements and analysis. More frequently agencies collect or purchase segment travel time based upon some type of matching of vehicles between two spatially distributed points. Typical methods for that data collection involve license plate re-identification, Bluetooth, Wi-Fi, or some type of rolling DSRC identifier. One of the challenges in each of these sampling techniques is to employ filtering techniques to remove outliers associated with trip chaining, but not remove important features in the data associated with incidents or traffic congestion. This paper describes a curated data set that was developed from high-fidelity GPS trajectory data. The curated data contained 31,621 vehicle observations spanning 42 days; 2550 observations had travel times greater than 3 minutes more than normal. From this baseline data set, outliers were determined using GPS waypoints to determine if the vehicle left the route. Two performance measures were identified for evaluating three outlier-filtering algorithms by the proportion of true samples rejected and proportion of outliers correctly identified. The effectiveness of the three methods over 10-minute sampling windows was also evaluated. The curated data set has been archived in a digital repository and is available online for others to test outlier-filtering algorithms.
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