Bibliografie tematiche / Data collection Methods

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Letteratura scientifica selezionata sul tema "Data collection Methods"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Data collection Methods"

1

Wilcox, Adam B., Kathleen D. Gallagher, Bernadette Boden-Albala, and Suzanne R. Bakken. "Research Data Collection Methods." Medical Care 50 (July 2012): S68—S73. http://dx.doi.org/10.1097/mlr.0b013e318259c1e7.

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Harwood, Eileen M. "Data Collection Methods Series." Journal of Wound, Ostomy and Continence Nursing 36, no. 3 (2009): 246–50. http://dx.doi.org/10.1097/won.0b013e3181a1a4d3.

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Hutchinson, Elizabeth, and Eileen M. Harwood. "Data Collection Methods Series." Journal of Wound, Ostomy and Continence Nursing 36, no. 4 (2009): 371–75. http://dx.doi.org/10.1097/won.0b013e3181aaf65e.

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Harwood, Eileen M., and Elizabeth Hutchinson. "Data Collection Methods Series." Journal of Wound, Ostomy and Continence Nursing 36, no. 6 (2009): 592–99. http://dx.doi.org/10.1097/won.0b013e3181bd7f77.

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Hinojosa, Renee, Mary Erickson Megel, and Judith A. Heermann. "Methods of Data Collection." Plastic Surgical Nursing 14, no. 2 (1994): 109–10. http://dx.doi.org/10.1097/00006527-199406000-00014.

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Harwood, Eileen M., and Pakou Vang. "Data Collection Methods Series." Journal of Wound, Ostomy and Continence Nursing 36, no. 1 (2009): 15–20. http://dx.doi.org/10.1097/01.won.0000345172.28246.7a.

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Harwood, Eileen M., and Elizabeth Hutchinson. "Data Collection Methods Series." Journal of Wound, Ostomy and Continence Nursing 36, no. 2 (2009): 129–35. http://dx.doi.org/10.1097/01.won.0000347654.49228.44.

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Mazhar, Syeda Ayeman. "Methods of Data Collection: A Fundamental Tool of Research." Journal of Integrated Community Health 10, no. 01 (2021): 6–10. http://dx.doi.org/10.24321/2319.9113.202101.

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Abstract (sommario):
For conducting research, it is a must to collect data. Data is basically the information that is required for investigating a research problem after proper designing. The importance of data collection lies in the fact that without gathering the particular information the research could not be carried out. The data may be primary or secondary. Usually, the methods of primary data collection in behavioural sciences include observation methods, interviews, questionnaires, and through database. The sources of secondary data include the previously published books, magazines, journals, etc. and unpu
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Frick, Kevin D. "Microcosting Quantity Data Collection Methods." Medical Care 47, Supplement (2009): S76—S81. http://dx.doi.org/10.1097/mlr.0b013e31819bc064.

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Aishima, J., P. Gibbons, R. Fearn, A. Ashton, and K. Levik. "UsingGDAfor novel data-collection methods." Acta Crystallographica Section A Foundations of Crystallography 67, a1 (2011): C277. http://dx.doi.org/10.1107/s0108767311093068.

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Tesi sul tema "Data collection Methods"

1

Murphy, John Frank Davis Mark E. Davis Mark E. "Methods for collection and processing of gene expression data /." Diss., Pasadena, Calif. : California Institute of Technology, 2005. http://resolver.caltech.edu/CaltechETD:etd-06252004-101813.

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Haas, Georg-Christoph [Verfasser], and Bella [Akademischer Betreuer] Struminskaya. "Modernization of data collection methods / Georg-Christoph Haas ; Betreuer: Bella Struminskaya." Mannheim : Universitätsbibliothek Mannheim, 2021. http://d-nb.info/1239558260/34.

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Fullman, Leah Irene. "Craniofacial Teams' Data Collection and Reporting Methods for Videonasendoscopy and Videofluoroscopy." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/557.

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Abstract (sommario):
Videonasendoscopy and videofluoroscopy are two instruments used by craniofacial teams for assessing velopharyngeal function. Various methods have been proposed throughout the literature for collecting and reporting data from these two types of imaging studies. The purpose of this investigation is to survey craniofacial teams regarding current use of videonasendoscopy and videofluoroscopy in the clinical setting. The results show the videonasendoscopy is more frequently used than videofluoroscopy and that estimations are a more common data collection/reporting method than objective measurements
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Siddiqui, Muazzam. "DATA MINING METHODS FOR MALWARE DETECTION." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2783.

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This research investigates the use of data mining methods for malware (malicious programs) detection and proposed a framework as an alternative to the traditional signature detection methods. The traditional approaches using signatures to detect malicious programs fails for the new and unknown malwares case, where signatures are not available. We present a data mining framework to detect malicious programs. We collected, analyzed and processed several thousand malicious and clean programs to find out the best features and build models that can classify a given program into a malware or a clean
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Cyr, J. "The Pitfalls and Promise of Focus Groups as a Data Collection Method." SAGE PUBLICATIONS INC, 2015. http://hdl.handle.net/10150/615820.

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Despite their long trajectory in the social sciences, few systematic works analyze how often and for what purposes focus groups appear in published works. This study fills this gap by undertaking a meta-analysis of focus group use over the last 10 years. It makes several contributions to our understanding of when and why focus groups are used in the social sciences. First, the study explains that focus groups generate data at three units of analysis, namely, the individual, the group, and the interaction. Although most researchers rely upon the individual unit of analysis, the method’s
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Nenneman, Milton. "An examination of state and local fusion centers and data collection methods." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FNenneman.pdf.

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Thesis (M.A. in Security Studies (Homeland and Security Defense))--Naval Postgraduate School, March 2008.<br>Thesis Advisor(s): Simeral, Robert. "March 2008." Description based on title screen as viewed on May 5, 2008. Includes bibliographical references (p. 119-122). Also available in print.
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Osowski, Christopher John. "Developing data collection methods to inform the quantitative design of cycle infrastructure." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416629/.

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Abstract (sommario):
Increased share of urban travel by bicycle is widely desired as a cost-effective and environmentally-beneficial means of travel, and one which has the potential to reduce road congestion and improve health outcomes. Recent rapid cycling growth in cities such as London has served to highlight the lack of robust empirically-backed quantitative literature to inform the practitioner, and the consequential barrier to the delivery of enabling infrastructure of the scale required to meet that demand. Even simple measures vary by orders of magnitude in the literature and some depend on intuitively na¨ıv
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He, Yi. "An Analysis of Airborne Data Collection Methods for Updating Highway Feature Inventory." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5016.

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Abstract (sommario):
Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important components of transportation networks. They guide, warn and protect drivers, and regulate traffic. To manage and maintain the regular operation of the highway system, state departments of transportation (DOTs) need reliable and up-to-date information about the location and condition of highway assets. Different methodologies have been employed to collect road inventory data. Currently, ground-based technologies are widely used to help DOTs to continually update their road database, while air-ba
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Palmer, Kurt D. "Data collection plans and meta models for chemical process flowsheet simulators." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/24511.

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Mitteff, Eric. "AUTOMATED ADAPTIVE DATA CENTER GENERATION FOR MESHLESS METHODS." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2635.

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Meshless methods have recently received much attention but are yet to reach their full potential as the required problem setup (i.e. collocation point distribution) is still significant and far from automated. The distribution of points still closely resembles the nodes of finite volume-type meshes and the free parameter, c, of the radial-basis expansion functions (RBF) still must be tailored specifically to a problem. The localized meshless collocation method investigated requires a local influence region, or topology, used as the expansion medium to produce the required field derivatives. Te
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Libri sul tema "Data collection Methods"

1

Jessup, Eric. Truck trip data collection methods. Oregon Dept. of Transportation, Research Unit, 2004.

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2

B, Skarpness, Tornow C, Battelle Memorial Institute, United States. Federal Highway Administration. Office of Highway Information Management, and United States. Federal Highway Administration, eds. Improved vehicle occupancy data collection methods. The Office, 1997.

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Tinsley, Robert N. Data collection methods in retailing research. Aston University. Management Centre, 1986.

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Food and Agricultural Organization of the United Nations., ed. National methods of agricultural price data collection. Food and Agriculture Organization of the United Nations, 1986.

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Roger, Sapsford, and Jupp Victor, eds. Data collection and analysis. Sage in association with Open University, 1996.

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French, Alexander. Traffic data collection and analysis: Methods and procedures. Transportation Research Board, National Research Council, 1986.

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United States. Agency for International Development, ed. Rapid, low-cost data collection methods for A.I.D. U.S. Agency for International Development, 1987.

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O, Martin Michael, Mullis Ina V. S, Bruneforth Michael, and Third International Mathematics and Science Study., eds. Quality assurance in data collection. Center for the Study of Testing, Evaluation, and Educational Policy, Boston College, 1996.

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Cuadra, Ernesto. Data collection strategies and methods for monitoring student flows. World Bank, 1991.

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Williams, Owen R. Methods for collection and analysis of fluvial-sediment data. U.S. Dept. of Agriculture, Forest Service, Watersshed and Air Management Staff, 1988.

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Capitoli di libri sul tema "Data collection Methods"

1

Baker, Michael J. "Data collection methods." In Research for Marketing. Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21230-9_8.

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Hanvey, Chester. "Data Collection Methods." In Wage and Hour Law. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74612-8_2.

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Orkin, Kate. "Data Collection Methods." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_664.

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Swanson, Richard A., and Thomas J. Chermack. "Data Collection Methods." In ANALYSIS. Routledge, 2024. http://dx.doi.org/10.4324/9781003518532-8.

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Jansen, Bernard J., Kholoud K. Aldous, Joni Salminen, Hind Almerekhi, and Soon-gyo Jung. "Data Collection Methods." In Understanding Audiences, Customers, and Users via Analytics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41933-1_4.

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Orkin, Kate. "Data Collection Methods." In Encyclopedia of Quality of Life and Well-Being Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_664.

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Wesner, Simone. "Data Collection Methods." In Researching the Creative and Cultural Industries. Routledge, 2024. http://dx.doi.org/10.4324/9781003161912-4.

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Heap, Vicky, and Jaime Waters. "Data collection methods." In Mixed Methods in Criminology. Routledge, 2019. http://dx.doi.org/10.4324/9781315143354-8.

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Nor, Nor Azlida Mohd, Ainol Haniza Kherul Anuwar, and Zamros Yuzadi Mohd Yusof. "Data Collection Methods." In Introduction to Public Health and Research. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5154-2_5.

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Li, Yanmei, and Sumei Zhang. "Data Collection." In Applied Research Methods in Urban and Regional Planning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93574-0_4.

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Atti di convegni sul tema "Data collection Methods"

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Skalkin, Anton, and Anton Romanov. "Automation Methods of Data Collection and Analysis for Managing Complex IT Infrastructures." In 2025 International Russian Smart Industry Conference (SmartIndustryCon). IEEE, 2025. https://doi.org/10.1109/smartindustrycon65166.2025.10986101.

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Walker, Joe. "SSPC-PA2: New Electronic Data Collection Solutions." In SSPC 2014 Greencoat. SSPC, 2014. https://doi.org/10.5006/s2014-00064.

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Advances in technology have lead to vast changes in Dry Film Thickness (DFT) testing methods. These changes have not only improved the overall user experience and repeatability of measurements, but also have necessitated changes in international standards. Traditionally, industries used both visual and analog devices in conjunction with paper reporting systems to ensure that QA/QC requirements were being met. In the early 1980's, the microprocessor became widely available for application in portable test equipment. Manufacturers, in conjunction with the technology industry, developed the first
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Mudiraj, Nakkala Srinivas, and Satwinder Singh. "Hindi Text-to-Image Generation: A Diverse Data Collection Methods, Annotation Approaches and Challenges." In 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech). IEEE, 2024. https://doi.org/10.1109/icacctech65084.2024.00019.

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Zhou, Desheng, Liqiang Yao, Zhen Shang, Yingren Wang, and Bo Chen. "A Study of Parallel Configurable Collection Methods for Grid Data Information Containing Imbalance Samples." In 2025 2nd International Conference on Smart Grid and Artificial Intelligence (SGAI). IEEE, 2025. https://doi.org/10.1109/sgai64825.2025.11009403.

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Seitnazarov, Kuanish K., Biybinaz K. Turemuratova, and Anvar K. Aytanov. "Stages and Methods of Data Collection for Developing an Artificial Intelligence Model for Recognizing Letters of the Karakalpak Sign Language." In 2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM). IEEE, 2024. http://dx.doi.org/10.1109/edm61683.2024.10615102.

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Semkova, V., N. Otuka, S. P. Simakov, and V. Zerkin. "Experimental nuclear reaction data collection EXFOR." In 2011 2nd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA). IEEE, 2011. http://dx.doi.org/10.1109/animma.2011.6172861.

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Gao, Lijn, Hang Yin, Yuhua Wei, and Le Wang. "Data Collection Methods Based on Mobile Sink Node." In 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics. Atlantis Press, 2015. http://dx.doi.org/10.2991/ameii-15.2015.32.

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Mihalinac, Sandra, Maja Ahac, Saša Ahac, and Miroslav Šimun. "Overview of emerging road traffic data collection methods." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1210.

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It is a well-known fact that the data on road traffic flow characteristics is essential for sustainable road network management. First road traffic volume counts date back to the 1950s when short-term periodic road traffic counts were carried out in cities worldwide. Manual traffic counting is one of the oldest and most technologically simple methods to obtain data on road traffic volume and its composition. Today, because of the ever-growing road transport demand, it has become clear that the development of Intelligent Transport Systems (ITS) is vital to increase safety and tackle increasing
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Cao, Ling, Pei Gang Liu, and Nian Yan Huang. "Study on building electricity consumption data collection methods." In 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control. Atlantis Press, 2016. http://dx.doi.org/10.2991/icmemtc-16.2016.130.

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Kim, Sunghwan Mac, Stephen Wan, Cecile Paris, Jin Brian, and Bella Robinson. "The Effects of Data Collection Methods in Twitter." In Proceedings of the First Workshop on NLP and Computational Social Science. Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-5611.

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Rapporti di organizzazioni sul tema "Data collection Methods"

1

Sandstrom, Mary M., Geoffrey W. Brown, Daniel N. Preston, et al. Integrated Data Collection Analysis (IDCA) Program - SSST Testing Methods. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1305869.

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Mitchell, J. L., Winston Bennett, Weissmuller Jr., Gosc J. J., Waldroop R. L., and Patricia. Computer-Based Job and Occupational Data Collection Methods: Feasibility Study. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada388029.

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Perk, Victoria. Handbook of Automated Data Collection Methods for the National Transit Database. University of South Florida, 2003. http://dx.doi.org/10.5038/cutr-nctr-rr-2002-06.

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Haring, Christopher. Data collection tools for river geomorphology studies : LiDAR and traditional methods. Engineer Research and Development Center (U.S.), 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 rapi
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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), 2018. http://dx.doi.org/10.2172/1475451.

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Tokuhiro, Akiro, Art Ruggles, and David Pointer. Data Collection Methods for Validation of Advanced Multi-Resolution Fast Reactor Simulations. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1169913.

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Rowland, Mary M., Larry D. Bryant, Bruce K. Johnson, James H. Noyes, Michael J. Wisdom, and Jack Ward Thomas. The Starkey project: history, facilities, and data collection methods for ungulate research. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1997. http://dx.doi.org/10.2737/pnw-gtr-396.

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Strachan, Anna Louise. The Impact of Covid-19 on Research Methods and Approaches. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/cc.2021.002.

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The Covid-19 pandemic, and measures to contain the spread of the virus, such as border closures, quarantine requirements, mandatory PCR (Polymerase Chain Reaction) tests, curfews, and social distancing requirements, have had a significant impact on research methods and approaches. Most of the available literature assumes that remote data collection is the only viable means of collecting primary data during the pandemic, so that is the focus of this report. While there is an extensive discussion of challenges associated with undertaking primary data collection during this time, there are also s
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Guy, Bryan, and Jon Fricker. Guidelines for Data Collection Techniques and Methods for Roadside Station Origin-Destination Studies. Purdue University, 2005. http://dx.doi.org/10.5703/1288284313368.

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Page-Dumroese, Deborah S., Ann M. Abbott, and Thomas M. Rice. Forest Soil Disturbance Monitoring Protocol: Volume II: Supplementary methods, statistics, and data collection. U.S. Department of Agriculture, Forest Service, 2009. http://dx.doi.org/10.2737/wo-gtr-82b.

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