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Morals, morale and motivations in data fabrication: Medical research fieldworkers views and practices in two Sub-Saharan African contexts

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  • Kingori, Patricia
  • Gerrets, René

Abstract

Data fabrication, incorrect collection strategies and poor data management, are considered detrimental to high-quality scientific research. While poor data management have been occasionally excused, fabrication constitutes a cardinal sin – scientific misconduct. Scholarly examinations of fabrication usually seek to expose and capture its prevalence and, less frequently, its consequences and causes. Most accounts centre on high-income countries, individual senior researchers and scientists who are portrayed as irrational, immoral or deceptive.

Suggested Citation

  • Kingori, Patricia & Gerrets, René, 2016. "Morals, morale and motivations in data fabrication: Medical research fieldworkers views and practices in two Sub-Saharan African contexts," Social Science & Medicine, Elsevier, vol. 166(C), pages 150-159.
    • Handle: RePEc:eee:socmed:v:166:y:2016:i:c:p:150-159
    DOI: 10.1016/j.socscimed.2016.08.019
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    References listed on IDEAS

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    1. Daniele Fanelli, 2009. "How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-11, May.
    2. Joseph Ana & Tracey Koehlmoos & Richard Smith & Lijing L Yan, 2013. "Research Misconduct in Low- and Middle-Income Countries," PLOS Medicine, Public Library of Science, vol. 10(3), pages 1-6, March.
    3. Timmermans, Stefan & McKay, Tara, 2009. "Clinical trials as treatment option: Bioethics and health care disparities in substance dependency," Social Science & Medicine, Elsevier, vol. 69(12), pages 1784-1790, December.
    4. Finn, Arden & Ranchhod, Vimal, 2013. "Genuine Fakes: The prevalence and implications of fieldworker fraud in a large South African survey," SALDRU Working Papers 115, Southern Africa Labour and Development Research Unit, University of Cape Town.
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    2. Wei-Chih Lu & I-Ching Tsai & Kuan-Chung Wang & Te-Ai Tang & Kuan-Chen Li & Ya-Ci Ke & Peng-Ting Chen, 2021. "Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    3. Melberg, Andrea & Diallo, Abdoulaye Hama & Storeng, Katerini T. & Tylleskär, Thorkild & Moland, Karen Marie, 2018. "Policy, paperwork and ‘postographs’: Global indicators and maternity care documentation in rural Burkina Faso," Social Science & Medicine, Elsevier, vol. 215(C), pages 28-35.
    4. Hutchinson, Eleanor & Nayiga, Susan & Nabirye, Christine & Taaka, Lilian & Staedke, Sarah G., 2018. "Data value and care value in the practice of health systems: A case study in Uganda," Social Science & Medicine, Elsevier, vol. 211(C), pages 123-130.

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