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Articoli di riviste sul tema "Data collection Methods"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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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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4

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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5

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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8

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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9

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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10

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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11

Bill, Ralf. "Unmanned Aerial Systems (UAS) - Attractive Extensions to Spatial Data Collection Methods." Photogrammetrie - Fernerkundung - Geoinformation 2014, no. 4 (2014): 225–26. http://dx.doi.org/10.1127/1432-8364/2014/0238.

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12

Paradis, Elise, Bridget O'Brien, Laura Nimmon, Glen Bandiera, and Maria Athina (Tina) Martimianakis. "Design: Selection of Data Collection Methods." Journal of Graduate Medical Education 8, no. 2 (2016): 263–64. http://dx.doi.org/10.4300/jgme-d-16-00098.1.

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13

Harwoodn, Eileen M., and Elizabeth Hutchinson. "Data Collection Methods Series Part 5." Journal of Wound, Ostomy and Continence Nursing 36, no. 5 (2009): 476–81. http://dx.doi.org/10.1097/won.0b013e3181b35248.

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14

Jasperse, Dorice M., and Susan W. Ahmed. "Comparison of two data collection methods." Controlled Clinical Trials 6, no. 3 (1985): 241–42. http://dx.doi.org/10.1016/0197-2456(85)90081-9.

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15

Serrone, Giulia Del, Giuseppe Cantisani, and Paolo Peluso. "Speed data collection methods: a review." Transportation Research Procedia 69 (2023): 512–19. http://dx.doi.org/10.1016/j.trpro.2023.02.202.

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16

Fairfield, Tasha. "A Bayesian Perspective on Theory-Blind Data Collection." Qualitative & Multi-Method Research 18, no. 2 (2021): 30–35. https://doi.org/10.5281/zenodo.4046614.

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Abstract (sommario):

Copestake, Goertz, and Haggard’s (CGH) “Veil of ignorance Process Tracing” (VPT)—which in essence entails placing a firewall between data collection and hypothesis testing1—is an interesting addition to a growing list of proposals made in recent years that aim to address potential sources of bias in qualitative social science. Many of these proposals (e.g., pre-registration, time-logging whether evidence was discovered before or after a hypothesis was devised) import prescriptions from large-N, frequentist, statistical research that, from a Bayesian perspective, a

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17

Stewart, Marissa C., Lara E. McCormick, Jesse R. Goliath, Paul W. Sciulli, and Sam D. Stout. "A Comparison of Histomorphometric Data Collection Methods*." Journal of Forensic Sciences 58, no. 1 (2012): 109–13. http://dx.doi.org/10.1111/j.1556-4029.2012.02195.x.

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18

Shaw, M. C. "Standardised methods of data collection are required." BMJ 310, no. 6993 (1995): 1534–35. http://dx.doi.org/10.1136/bmj.310.6993.1534e.

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19

Smith, Eric E., Janet Warner, Megan Johnston, et al. "Neurological Registry Data Collection Methods and Configuration." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 40, S2 (2013): S27—S31. http://dx.doi.org/10.1017/s0317167100017133.

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20

Bowles, K. A., E. H. Skinner, D. Mitchell, et al. "Data Collection Methods in Health Services Research." Applied Clinical Informatics 06, no. 01 (2015): 96–109. http://dx.doi.org/10.4338/aci-2014-10-ra-0097.

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Abstract (sommario):

Summary Background: Hospital length of stay and discharge destination are important outcome measures in evaluating effectiveness and efficiency of health services. Although hospital administrative data are readily used as a data collection source in health services research, no research has assessed this data collection method against other commonly used methods. Objective: Determine if administrative data from electronic patient management programs are an effective data collection method for key hospital outcome measures when compared with alternative hospital data collection methods. Method:

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21

Robinson, Andrew L., Carolyn G. Emden, Tobias D. Croft, et al. "Mixed Methods Data Collection in Dementia Research." Journal of Mixed Methods Research 5, no. 4 (2011): 330–44. http://dx.doi.org/10.1177/1558689811416940.

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22

Laing, David K., Andrew W. Hartshorne, Roger Cook, and Geoffrey Robinson. "A Fiber Data Collection for Forensic Scientists—Collection and Examination Methods." Journal of Forensic Sciences 32, no. 2 (1987): 11139J. http://dx.doi.org/10.1520/jfs11139j.

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23

Rubeena and Minhajullah Maseeh. "INNOVATIVE DATA COLLECTION METHODS FOR RESEARCH IN THE DIGITAL ERA." VIDYA - A JOURNAL OF GUJARAT UNIVERSITY 2, no. 2 (2023): 125–29. http://dx.doi.org/10.47413/vidya.v2i2.224.

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Abstract (sommario):

Data collection is a very important stage in social science research. In social science research, the data collection stage is very patient and challenging. The data collection methods are an important part of the research. During the collection of data, a researcher should identify the appropriate method of data collection based on the type and source of the data. If the researcher does not use the proper data collection method, they will encounter many difficulties while gathering the data, which may have an impact on their research. Therefore, the selection of data collection methods should

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24

A., Botchkaryov. "STRUCTURAL ADAPTATION OF DATA COLLECTION PROCESSES IN AUTONOMOUS DISTRIBUTED SYSTEMS USING REINFORCEMENT LEARNING METHODS." Computer systems and network 2, no. 1 (2017): 13–26. http://dx.doi.org/10.23939/csn2020.01.013.

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A method of structural adaptation of data collection processes has been developed based on reinforcement learning of the decision block on the choice of actions at the structural and functional level subordinated to it, which provides a more efficient distribution of measuring and computing resources, higher reliability and survivability of information collection subsystems of an autonomous distributed system compared to methods of parametric adaptation. In particular, according to the results of experimental studies, the average amount of information collected in one step using the method of

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25

A., Botchkaryov. "FUNCTIONAL COORDINATION OF METHODS OF ORGANIZATION OF ADAPTIVE DATA COLLECTION PROCESSES AND METHODS OF SPATIAL SELF-ORGANIZATION OF MOBILE AGENTS." Computer systems and network 2, no. 1 (2017): 27–32. http://dx.doi.org/10.23939/csn2020.01.027.

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The way of functional coordination of methods of organization adaptive data collection processes and methods of spatial self-organization of mobile agents by parallel execution of the corresponding data collection processes and the process of motion control of a mobile agent using the proposed protocol of their interaction and the algorithm of parallel execution planning is proposed. The method allows to speed up the calculations in the decision block of the mobile agent by an average of 40.6%. Key words: functional coordination, adaptive data collection process, spatial self-organization, mob

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26

Mwita, Kelvin. "Factors to consider when choosing data collection methods." International Journal of Research in Business and Social Science (2147- 4478) 11, no. 5 (2022): 532–38. http://dx.doi.org/10.20525/ijrbs.v11i5.1842.

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Abstract (sommario):

Novice and experienced researchers may encounter numerous methodological challenges when it comes to data collection. Data have to be collected from the right sources using appropriate data collection tools to make research studies impactful. There are numerous data collection methods that researchers may use but not all methods are appropriate for all research studies. Choosing inappropriate research methods may result in invalid research findings and lead to erroneous conclusions. This means researchers have to carefully choose data collection methods to make their studies achieve their resp

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27

Rice, Eric, Ian W. Holloway, Anamika Barman-Adhikari, Dahlia Fuentes, C. Hendricks Brown, and Lawrence A. Palinkas. "A Mixed Methods Approach to Network Data Collection." Field Methods 26, no. 3 (2014): 252–68. http://dx.doi.org/10.1177/1525822x13518168.

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28

Morrison, Diane M., Barbara C. Leigh, and Mary Rogers Gillmore. "Daily data collection: A comparison of three methods." Journal of Sex Research 36, no. 1 (1999): 76–81. http://dx.doi.org/10.1080/00224499909551970.

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29

Kholifah, Eling Retno, and Muhammad Sofwan. "Comparison of Data Collection Methods: Advantages and Disadvantages." Jurnal Kepemimpinan dan Pengurusan Sekolah 9, no. 4 (2024): 519–25. https://doi.org/10.34125/jkps.v9i4.628.

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This article aims to analyze the differences in data collection techniques in the research as well as identify the advantages and disadvantages of various methods, including surveys, interviews, observations, document analysis, experiments, and focus group discussions (FGDs). The research method used is a literature study, which involves tracing and analyzing written sources to understand the application of each technique. The results show that surveys offer efficiency and a wide range, but often neglect the depth of information needed to understand social contexts. Interviews and FGDs provide

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30

Al Rashdan, Ahmad, and Shawn St. Germain. "Methods of Data Collection in Nuclear Power Plants." Nuclear Technology 205, no. 8 (2019): 1062–74. http://dx.doi.org/10.1080/00295450.2019.1610637.

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31

Phillips, Sarah, Mathias Dillen, Laura Green, Quentin Groom, and Marie-Helene Weech. "Evaluating Methods for Transcribing Specimen Labels." Biodiversity Information Science and Standards 3 (June 21, 2019): e37306. https://doi.org/10.3897/biss.3.37306.

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Distributed Systems of Scientific Collections (DiSSCo) a pan-European Research Infrastructure will facilitate the production of tens of millions of digital images of natural history specimens each year. The labels of these specimens contain valuable information for research, but their transcription can be difficult and time-consuming, with often hard to read handwritten labels. Whilst accurate label transcription is only one step along the way to create a specimen record fit for different research uses, it is an extremely important one. It would be very time-consuming to have to return to rech

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32

Bafarasat, Abbas Ziafati, Eduardo Oliveira, and Anna Growe. "A researcher companion of data collection and validation methods." Urban Resilience and Sustainability 1, no. 2 (2023): 91–106. http://dx.doi.org/10.3934/urs.2023007.

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<abstract> <p>This paper aims to fill a gap between textbooks and papers on data collection methods. Many undergraduate study programs include modules on data collection methods. They provide students with systematic insight into data collection methods. However, a few years later, when students want to apply this training in their research, they may have forgotten unapplied parts! Because researchers might not devote themselves to adequate re-study of data collection textbooks, they sometimes choose a data collection method without a systematic view of other methods and the wider

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33

Awa, Tiam, Gueye Ibrahima, Wade Ahmed-Mouhamadou, Sidibe Samba, and Niang Oumar. "Design and implementation of an offline-first road crash data collection system." World Journal of Advanced Research and Reviews 13, no. 2 (2022): 095–107. https://doi.org/10.5281/zenodo.6245136.

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Road traffic accidents (RTAs) are a global burden that particularly affects people in developing countries. According to the World Health Organization, having reliable and precise data is necessary to raise the alert on the scale of road accidents and convince decision-makers of the need to take action. Each year, nearly 700 people lose their lives due to accidents on Senegalese roads. In Senegal, dis-aggregated data related to accidents are rare due to very significant under-recording. Most of these data are in a non-computerized form and their collection methods differ from one side to the o

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34

Du, Kang, Dalei Song, and Yimei Zeng. "Research on Multi-Sensor Data Collection and Mapping Methods." International Journal of Computer Science and Information Technology 2, no. 1 (2024): 341–47. http://dx.doi.org/10.62051/ijcsit.v2n1.35.

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In today's information society, the importance of collecting data through multiple channels continues to increase. This article focuses on the use of drones for large-area forest information collection and tree analysis. In complex environments, there are a series of problems in obtaining tree mapping information with a single sensor, such as single use scenarios, low accuracy, limited viewing angles, and high requirements for computing power. To address these challenges, this paper proposes a Bayesian-based multi-sensor fusion strategy to overcome the limitations of a single sensor by integra

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35

Jiang, Ling Yun, and Zhi Biao Wang. "Data Collection and Model Construction Methods for Reverse Engineering." Advanced Materials Research 102-104 (March 2010): 189–93. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.189.

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The process of creating a CAD model from an object is mainly made up of two steps: the data collection through digital measurement and the construction of parameterized and revisable model. This paper discusses the measuring process and technical problems of the Coordinate Measuring Machine (CMM) and non-contact sensor. Through comparative analysis, we determine the application scope of those approaches in measuring different dimensions of the same objects considering the time efficiency and tolerance requirement. This paper divide the objects into two categories: freeform feature objects and

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36

Morgan, Karen J., S. R. Johnson, Robert L. Rizek, Robert Reese, and Gary L. Stampley. "Collection of food intake data: An evaluation of methods." Journal of the American Dietetic Association 87, no. 7 (1987): 888–96. http://dx.doi.org/10.1016/s0002-8223(21)03211-9.

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37

Goneppanavar, Umesh, Zulfiqar Ali, SBala Bhaskar, and JigeeshuV Divatia. "Types of data, methods of collection, handling and distribution." Airway 2, no. 1 (2019): 36. http://dx.doi.org/10.4103/arwy.arwy_11_19.

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38

Grack Nelson, Amy, and Sarah Cohn. "Data Collection Methods for Evaluating Museum Programs and Exhibitions." Journal of Museum Education 40, no. 1 (2015): 27–36. http://dx.doi.org/10.1080/10598650.2015.11510830.

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39

Meurer, W. J., S. M. Frederiksen, J. J. Majersik, L. Zhang, A. Sandretto, and P. A. Scott. "Qualitative Data Collection and Analysis Methods: The INSTINCT Trial." Academic Emergency Medicine 14, no. 11 (2007): 1064–71. http://dx.doi.org/10.1197/j.aem.2007.05.005.

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40

Strelluf, Christopher. "Book Review: Data Collection in Sociolinguistics: Methods and Applications." Journal of English Linguistics 41, no. 4 (2013): 380–84. http://dx.doi.org/10.1177/0075424213506012.

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41

Rice, Michelle C., and Jane Fellows. "COMPARING TWO METHODS OF PREVALENCE AND INCIDENCE DATA COLLECTION." Journal of Wound, Ostomy and Continence Nursing 31, Supplement (2004): S19—S20. http://dx.doi.org/10.1097/00152192-200405001-00055.

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42

Garner, J. B., and J. Uren. "THE USE OF PHOTOGRAPHIC METHODS FOR TRAFFIC DATA COLLECTION." Photogrammetric Record 7, no. 41 (2006): 555–67. http://dx.doi.org/10.1111/j.1477-9730.1973.tb01189.x.

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43

Grove, Stephen J., and Raymond P. Fisk. "Observational data collection methods for services marketing: An overview." Journal of the Academy of Marketing Science 20, no. 3 (1992): 217–24. http://dx.doi.org/10.1007/bf02723408.

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Pucken, Valerie-Beau, Michèle Bodmer, Benjamin Lovis, et al. "Antimicrobial consumption: Comparison of three different data collection methods." Preventive Veterinary Medicine 186 (January 2021): 105221. http://dx.doi.org/10.1016/j.prevetmed.2020.105221.

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45

darovsky, Alex. "Workshop on strategy and methods for AD data collection." Synchrotron Radiation News 9, no. 5 (1996): 8. http://dx.doi.org/10.1080/08940889608602895.

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46

Lebedeva, Ol'ga. "OVERVIEW DATA COLLECTION METHODS FOR EVALUATION OF TRIP MATRIX." Bulletin of the Angarsk State Technical University 1, no. 16 (2022): 134–38. http://dx.doi.org/10.36629/2686-777x-2022-1-16-134-138.

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Traffic flow management on the road network is one of the key areas of transport and logistics activities, which involves various enterprises, third-party companies and regulatory authorities. Traffic safety and regularity of trips directly depend on the quality and clarity of the organization of the transport and logistics process. In a competitive environment, assessing the strengths and weaknesses of existing data collection methods becomes a significant advantage, allowing us to apply those methods that allow us to achieve our goals. To solve this problem, it is proposed to jointly and con

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47

Cheliotis, Giorgos, Xuesong Lu, and Song Yi. "Reliability of Data Collection Methods in Social Media Research." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 1 (2021): 586–89. http://dx.doi.org/10.1609/icwsm.v9i1.14669.

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In this paper we argue for the systematic assessment and reporting of the reliability of data collection methods that rely on the automated collection of data from third party social media sites, where the researcher does not have direct access to meaning or control over data quality. Building on a long tradition of reliability assessment in the sciences and specifically in social science, we propose methods for the assessment of reliability, also for textual data that is increasingly mined from social media for the purposes of studying online populations.

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48

Quandt, Sara A., and Thomas A. Arcury. "Qualitative methods in arthritis research: Overview and data collection." Arthritis Care & Research 10, no. 4 (1997): 273–81. http://dx.doi.org/10.1002/art.1790100409.

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Campbell, N. J., P. Youngs, and I. Anderson. "A UK survey of obstetric anaesthetic data collection methods." International Journal of Obstetric Anesthesia 22, no. 2 (2013): 167–68. http://dx.doi.org/10.1016/j.ijoa.2013.01.009.

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Cheng, Anchi, and Yue Yu. "Recent advances in data collection for Cryo-EM methods." Current Opinion in Structural Biology 86 (June 2024): 102795. http://dx.doi.org/10.1016/j.sbi.2024.102795.

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