The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Hidden concerns of sharing research data by low/middle-income country scientists
Open accessAbstract
data sharing practices within LMIC research institutions is vital for the development of an Open Data landscape in the Global South. Nonetheless, many LMICs have significant challenges - resource provision, research support and extra-laboratory infrastructures. These low-resourced environments shape data sharing activities, but are rarely examined within Open Data discourse. In particular, little attention is given to how these research environments shape scientists' perceptions of data sharing (dis)incentives. This paper expands on these issues of incentivizing data sharing, using data from a quantitative survey disseminated to life scientists in 13 countries in sub-Saharan Africa. This interrogated not only perceptions of data sharing amongst LMIC scientists, but also how these are connected to the research environments and daily challenges experienced by them. The paper offers a series of analysis around commonly cited (dis)incentives such as data sharing as a means of improving research visibility; sharing and funding; and online connectivity. It identifies key areas that the Open Data community need to consider if true openness in research is to be established in the Global South.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Human resource constraints provide a substantial obstacle, notably a deficiency of qualified professionals, including medical physicists and radiologists.”
From Computed Tomography Diagnostic Reference Levels Worldwide and in Jordan: Implications for Patient Dose Reduction (2026) · cites this paper as [120]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In numerous low- and middle-income countries, healthcare practitioners sometimes have excessive clinical responsibilities, resulting in minimal capacity for data collecting, analysis, or research dissemination.120,121”
From Computed Tomography Diagnostic Reference Levels Worldwide and in Jordan: Implications for Patient Dose Reduction (2026) · cites this paper as [120]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
Data Sharing by Scientists: Practices and Perceptions
Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., Manoff, M., & Frame, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021101 · Cited by 1,432
The conundrum of sharing research data
Borgman, C. L. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22634 · Cited by 1,013
Citation Advantage of Open Access Articles
Eysenbach, G. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040157 · Cited by 829
Significance and Challenges of Big Data Research
Jin, X., Wah, B. W.-S., Cheng, X., & Wang, Y. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.01.006 · Cited by 779
Comparison of SCImago journal rank indicator with journal impact factor
Falagas, M. E., Kouranos, V., Jorge, R. A., & Karageorgopoulos, D. E. (2008) · The FASEB Journal · doi:10.1096/fj.08-107938 · Cited by 559
Coercive Citation in Academic Publishing
Wilhite, A. W., & Fong, E. A. (2012) · Science · doi:10.1126/science.1212540 · Cited by 433
Earlier Web usage statistics as predictors of later citation impact
Brody, T., Harnad, S. R., & Carr, L. A. (2006) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20373 · Cited by 403
Editors, T. P. M. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030291 · Cited by 373
Altmetrics in the wild: Using social media to explore scholarly impactPreprint
Priem, J. R., Piwowar, H., & Hemminger, B. M. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1203.4745 · Cited by 360
Research works printed but not linked: 2
- Harle J., 2011, Growing knowledge: Access to research in east and southern African Universities
- Peters I., 2015, 15th International Conference on Scientometrics and Informetrics, 172
Cited by
Sorted by citations
Genome-wide association studies
Uffelmann, E., Huang, Q. Q., Munung, N. S., de Vries, J., Okada, Y., Martin, A. R., Martin, H. C., Lappalainen, T., & Posthuma, D. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00056-9 · Cited by 1,849
Kchouk, S., Melsen, L. A., Walker, D. W., & van Oel, P. R. (2022) · Natural hazards and earth system sciences · doi:10.5194/nhess-22-323-2022 · Cited by 144
The Marine Plastic Litter Issue: A Social-Economic Analysis
Abalansa, S., Mahrad, B. E., Vondolia, G. K., Icely, J. D., & Newton, A. (2020) · Sustainability · doi:10.3390/su12208677 · Cited by 146
Narratives and Counternarratives on Data Sharing in Africa
Abebe, R., Aruleba, K., Birhane, A., Kingsley, S., Obaido, G., Remy, S. L., & Sadagopan, S. (2021) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3442188.3445897 · Cited by 135
The present and future of peer review: Ideas, interventions, and evidence
Aczél, B., Barwich, A., Diekman, A. B., Fishbach, A., Goldstone, R. L., Gómez, P., Gundersen, O. E., von Hippel, P. T., Holcombe, A. O., Lewandowsky, S., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2401232121 · Cited by 117
Data management and sharing policy: the first step towards promoting data sharing
Waithira, N., Mutinda, B., & Cheah, P. Y. (2019) · BMC Medicine · doi:10.1186/s12916-019-1315-8 · Cited by 74
Research Data Sharing: Practices and Attitudes of Geophysicists
Tenopir, C., Christian, L., Allard, S. L., & Borycz, J. (2018) · Earth and Space Science · doi:10.1029/2018ea000461 · Cited by 75
Barriers to Full Participation in the Open Science Life Cycle among Early Career Researchers
Gownaris, N. J., Vermeir, K., Bittner, M.-I., Gunawardena, L., Kaur‐Ghumaan, S., Lepenies, R., Ntsomboh-Ntsefong, G., & Zakari, I. S. (2022) · Data Science Journal · doi:10.5334/dsj-2022-002 · Cited by 76
Recommendations for robust and reproducible preclinical research in personalised medicine
Fosse, V., Oldoni, E., Biétrix, F., Budillon, A., Daskalopoulos, E. P., Fratelli, M., Gerlach, B., Groenen, P. M. A., Hölter, S. M., Menon, J. M. L., et al. (2023) · BMC Medicine · doi:10.1186/s12916-022-02719-0 · Cited by 58
Evertsz, N., Bull, S., & Pratt, B. (2023) · BMJ Global Health · doi:10.1136/bmjgh-2022-010157 · Cited by 56
Open Access in low- and middle-income countries: attitudes and experiences of researchers
Nobes, A., & Harris, S. (2019) · Emerald Open Research · doi:10.35241/emeraldopenres.13325.1 · Cited by 49
Advances in transparency and reproducibility in the social sciences
Jeremy Freese, A., Rauf, T., & Voelkel, J. G. (2022) · Social Science Research · doi:10.1016/j.ssresearch.2022.102770 · Cited by 50
Data Sharing in Biomedical Sciences: A Systematic Review of Incentives
Devriendt, T., Shabani, M., & Borry, P. (2021) · Biopreservation and Biobanking · doi:10.1089/bio.2020.0037 · Cited by 36
Devriendt, T., Borry, P., & Shabani, M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0254202 · Cited by 36
Jackson, C., Gardy, J. L., Shadiloo, H. C., & Silva, D. S. (2019) · BMC Medical Ethics · doi:10.1186/s12910-019-0380-z · Cited by 34
Hutchings, E., Loomes, M., Butow, P. N., & Boyle, F. M. (2020) · Systematic Reviews · doi:10.1186/s13643-020-01485-5 · Cited by 33
Psychology, not technology, is our biggest challenge to open digital morphology data
Hipsley, C. A., & Sherratt, E. (2019) · Scientific Data · doi:10.1038/s41597-019-0047-0 · Cited by 32
Equitable data sharing in epidemics and pandemics
Pratt, B., & Bull, S. (2021) · BMC Medical Ethics · doi:10.1186/s12910-021-00701-8 · Cited by 33
Data Sharing Practices among Researchers at South African Universities
Bangani, S., & Moyo, M. (2019) · Data Science Journal · doi:10.5334/dsj-2019-028 · Cited by 30
Open research data in African academic and research libraries: a literature analysis
Chiware, E. R. T. (2020) · Library Management · doi:10.1108/lm-02-2020-0027 · Cited by 30
Opportunities and challenges for the use of common controls in sequencing studies
Wojcik, G. L., Murphy, J. I., Edelson, J. L., Gignoux, C. R., Ioannidis, A. G., Manning, A. K., Rivas, M. A., Buyske, S. G., & Hendricks, A. E. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00487-4 · Cited by 32
Kabanda, S. M., Cengiz, N., Rajaratnam, K., Watson, B. W., Brown, Q., Esterhuizen, T. M., & Moodley, K. (2023) · South African Journal of Science · doi:10.17159/sajs.2023/15129 · Cited by 36
Ethical issues in global neuroimaging genetics collaborations
Palk, A. C., Illes, J., Thompson, P. M., & Stein, D. J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117208 · Cited by 28
The academic impact of Open Science: a scoping review
Klebel, T., Traag, V., Grypari, I., Stoy, L., & Ross‐Hellauer, T. (2025) · Royal Society Open Science · doi:10.1098/rsos.241248 · Cited by 46
Practices for enhancing research visibility, citations and impact: review of literature
Majhi, S., Sahu, L., & Behera, K. (2023) · Aslib Journal of Information Management · doi:10.1108/ajim-11-2023-532 · Cited by 38
Data sharing practices of health researchers in Africa: a scoping review protocol
Obiora, O. L., Olivier, B., Shead, D. A., & Withers, A. (2021) · JBI Evidence Synthesis · doi:10.11124/jbies-20-00502 · Cited by 23
Scalability and Sustainability of a Surgical Infection Prevention Program in Low-Income Environments
Starr, N. E., Gebeyehu, N., Nofal, M. R., Forrester, J. A., Tesfaye, A., Mammo, T. N., Weiser, T. G., Collaborative, A. L. C. C., Amdie, D. A., Abreha, M., et al. (2023) · JAMA Surgery · doi:10.1001/jamasurg.2023.6033 · Cited by 24
Vu, G. V., Ha, G. H., Nguyen, C. T., Vu, G. T., Pham, H. Q., Latkin, C. A., Tran, B. X., Ho, R., & Ho, C. S. H. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17093089 · Cited by 22
Open access in low- and middle-income countries: attitudes and experiences of researchers
Nobes, A., & Harris, S. (2019) · Emerald Open Research · doi:10.1108/eor-03-2023-0006 · Cited by 20
Data sharing platforms: instruments to inform and shape science policy on data sharing?
Devriendt, T., Shabani, M., Lekadir, K., & Borry, P. (2022) · Scientometrics · doi:10.1007/s11192-022-04361-2 · Cited by 20
Predictors of evidence-based practice competency among Tunisian nursing students
Tlili, M. A., Aouicha, W., Tarchoune, S., Sahli, J., Dhiab, M. B., Chelbi, S., Mtiraoui, A., Ajmi, T. N., Rejeb, M. B., & Mallouli, M. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03487-4 · Cited by 18
Malaysian researchers on open data: The first national survey on awareness, practices and attitudes
Hodonu-Wusu, J. O., Abdullah, N., & Abrizah, A. (2020) · Malaysian Journal of Library & Information Science · doi:10.22452/mjlis.vol25no2.1 · Cited by 16
Ahmed, M., Othman, R., Noordin, M. F., Ibrahim, A. A., & Al-hussaini, A. I. S. (2024) · Knowledge and Information Systems · doi:10.1007/s10115-024-02284-3 · Cited by 20
Devriendt, T., Borry, P., & Shabani, M. (2022) · Journal of Medical Internet Research · doi:10.2196/25983 · Cited by 18
Research Data Management: A review of UAE academic library experience
Mavodza, J. (2022) · Open Information Science · doi:10.1515/opis-2022-0128 · Cited by 12
Mooij, R., Jurgens, E., van Dillen, J., & Stekelenburg, J. (2019) · Tropical Doctor · doi:10.1177/0049475519878335 · Cited by 12
COVID-19 Heightens the Imperative to Decolonize Global Health Research
Atuire, C., & Bull, S. (2022) · Global Justice Theory Practice Rhetoric · doi:10.21248/gjn.13.02.257 · Cited by 12
Joannides, A. J., Korhonen, T. K., Clark, D., Gnanakumar, S., Venturini, S., Mohan, M., Bashford, T., Baticulon, R. E., Bhagavatula, I. D., Esene, I. N., et al. (2023) · Neurosurgery · doi:10.1227/neu.0000000000002661 · Cited by 12
Equitable data sharing: challenges and suggestions for ways forward
Barnes, K. I., Guzmán, J. A. C., Vernekar, S. S., Goudar, S. S., Espinal, R., Merson, L., & Cheah, P. Y. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15425.1 · Cited by 12
Graf, C., Flanagan, D., Wylie, L., & Silver, D. (2020) · Data Intelligence · doi:10.1162/dint_a_00061 · Cited by 13
Ten simple rules for developing bioinformatics capacity at an academic institution
Aron, S., Jongeneel, C. V., Chauke, P. A., Chaouch, M., Kumuthini, J., Zass, L. J., Radouani, F., Kassim, S. K., Fadlelmola, F. M., & Mulder, N. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009592 · Cited by 12
Monitoring Open Science as transformative change: Towards a systemic framework
Rafols, I., Meijer, I., & Molas-Gallart, J. (2024) · F1000Research · doi:10.12688/f1000research.148290.1 · Cited by 8
African researchers do not think differently about Open Data
Skelly, L., & Chiware, E. R. T. (2022) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2022.950212 · Cited by 11
Ugochukwu, A. I., & Phillips, P. W. B. (2022) · The Plant Phenome Journal · doi:10.1002/ppj2.20056 · Cited by 13
Chabilall, J., Brown, Q., Cengiz, N., & Moodley, K. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000635 · Cited by 13
Cox, A. M., & Abbott, P. Y. (2021) · Libri · doi:10.1515/libri-2020-0036 · Cited by 10
Management and maintenance of research data by researchers in Zimbabwe
Chigwada, J. P. (2021) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-06-2020-0079 · Cited by 15
Fostering Trauma and Emergency Research Capacity in Rwanda Through Collaboration
Rosenberg, A., Uwitonze, J. M., Dworkin, M. S., Kabagema, I., Dushime, T., Nkeshimana, M., Riviello, R. R., & Jayaraman, S. (2020) · Journal of surgical education · doi:10.1016/j.jsurg.2020.03.027 · Cited by 9
Enriching Digital Libraries with Crowdsensed Data
Cresci, S., Minutoli, S., Nizzoli, L., Tardelli, S., & Tesconi, M. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-11226-4_12 · Cited by 9
Meagher, K. M., Watson, S., Suh, G. A., & Virk, A. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12081308 · Cited by 9
Manik, L. P., Akbar, Z., Yaman, A., & Indrawati, A. (2022) · Publications · doi:10.3390/publications10040050 · Cited by 11
A Manifesto for Rewarding and Recognizing Team Infrastructure Roles
Bennett, A., Garside, D., van Praag, C. D. G., Hostler, T., Garcia, I. K., Plomp, E., Schettino, A., Teplitzky, S., & Ye, H. (2023) · Journal of Trial and Error · doi:10.36850/mr8 · Cited by 6
Who tells the story of burns in low-and-middle income countries? – A bibliometric study
Wall, S. L., Velin, L., Abbas, A., Allorto, N. L., Graner, M., Moeller, E., Ryan-Coker, M., & Pompermaier, L. (2022) · Burns · doi:10.1016/j.burns.2022.06.003 · Cited by 7
Ten simple rules for starting FAIR discussions in your community
Belliard, F., Maineri, A., Plomp, E., Padilla, A. F. R., Sun, J., & Jeddi, M. Z. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011668 · Cited by 7
Sheehan, N., Botta, F., & Leonelli, S. (2024) · Data Science Journal · doi:10.5334/dsj-2024-029 · Cited by 7
Data sharing considerations and practice among health researchers in Africa: A scoping review
Obiora, O. L., Shead, D. A., & Olivier, B. (2024) · Digital Health · doi:10.1177/20552076241290955 · Cited by 10
Data governance and open science in energy planning: A case study of the Kenyan ecosystem
Beltramo, A., Leonard, A., Tomei, J., & Usher, W. (2024) · Energy Research & Social Science · doi:10.1016/j.erss.2024.103821 · Cited by 6
Powla, P. P. (2025) · Neurocritical Care · doi:10.1007/s12028-025-02271-8 · Cited by 7
Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities
Mahmood, S., Noorali, A. A., Manji, A. A., Afzal, N., Abbas, S., Qamar, J. B., Siddiqi, S., Hoodbhoy, Z. A., Virani, S. S., Bhutta, Z. A., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-071616 · Cited by 6
An agenda-setting paper on data sharing platforms: euCanSHare workshop
Devriendt, T., Ammann, C., Asselbergs, F. W., Bernier, A., Costas, R., Friedrich, M. G., Gelpí, J. L., Järvelin, M., Kuulasmaa, K., Lekadir, K., et al. (2021) · Open Research Europe · doi:10.12688/openreseurope.13860.1 · Cited by 7
Manco, A. (2023) · Online Information Review · doi:10.1108/oir-03-2023-0135 · Cited by 5
Health Data Sciences and Cardiovascular Disease in Africa: Needs and the Way Forward
Inam, M., Sheikh, S. S., Khoja, A. A., Abubakar, A. A., Shah, R., Samad, Z. Z., Ngugi, A. K., Alarakhiya, F., Waljee, A. K., & Virani, S. S. (2024) · Current Atherosclerosis Reports · doi:10.1007/s11883-024-01235-1 · Cited by 5
Provide proactive reproducible analysis transparency with every publication
Meijer, P., Howard, N., Liang, J., Kelsey, A., Subramanian, S., Johnson, E., Mariz, P., Harvey, J. F., Ambrose, M., Tereshchenko, V., et al. (2025) · Royal Society Open Science · doi:10.1098/rsos.241936 · Cited by 8
Dubiei, Y. V. (2020) · Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu · doi:10.33271/nvngu/2020-6/148 · Cited by 5
An exploration of practices affecting research integrity in global health partnerships
Troughton, L., & Obasi, A. I. N. (2022) · BMJ Global Health · doi:10.1136/bmjgh-2022-009092 · Cited by 5
Allam, Z. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-824313-8.00005-x · Cited by 5
Mwinami, N. V., Dulle, F., & Mtega, W. P. (2023) · LIBER Quarterly The Journal of the Association of European Research Libraries · doi:10.53377/lq.12931 · Cited by 4
Waithira, N., Mutinda, B., Shah, K., Kestelyn, E., Bull, S., Boggs, L., Lang, T. A., & Cheah, P. Y. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06405-y · Cited by 4
Ekusai‐Sebatta, D., Ocan, M., Singh, S., Kyaddondo, D., Akena, D. H., Nakalembe, L., Apunyo, R., Kinengyere, A. A., Namisango, E., Obuku, E. A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292996 · Cited by 4
Ahmed, M., Othman, R., Noordin, M. F., bin Ismail, M. Z. H., Karim, Z. B. A., & Anera, S. N. S. (2024) · Information Development · doi:10.1177/02666669241248145 · Cited by 6
Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers
Seneviratne, O., Adams, K., & McGuinness, D. L. (2023) · ACM Transactions on Social Computing · doi:10.1145/3609486 · Cited by 4
Assessing Scientific Contributions in Data Sharing Spaces
Adams, K., Spadea, F., Flynn, C., & Seneviratne, O. W. (2023) · International World Wide Web Conference (WWW) · doi:10.1145/3543873.3587608 · Cited by 5
Societal drivers of antimicrobial resistance
Hampton, T. (2023) · European Respiratory Society eBooks · doi:10.1183/2312508x.10004522 · Cited by 3
Perceptions and Opinions Towards Data-Sharing: A Survey of Addiction Journal Editorial Board Members
Anderson, J. M., Johnson, A., Rauh, S. L., Johnson, B. S., Bouvette, M. J., Pinero, I., Beaman, J., & Vassar, M. B. (2022) · The Journal of Scientific Practice and Integrity · doi:10.35122/001c.35597 · Cited by 3
Chauhan, R. S., Munshi, A., & Pradhan, A. (2024) · Journal of Medical Physics · doi:10.4103/jmp.jmp_21_24 · Cited by 2
Cabrera‐Mendoza, B., Burmeister, M., Rietschel, M., Crepaz‐Keay, D., Balhara, Y. P. S., Seedat, S., Marshe, V. S., Hemmings, S. M. J., Peterson, R. E., Kaushik, R., et al. (2025) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.33042 · Cited by 2
Smart and International Campuses in Research Collaborations
Mukminin, A., Marzulina, L., Abdrazakova, A., Harto, K., Fridiyanto, F., Erlina, D., & Amir, R. Z. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-6831-3.ch012 · Cited by 2
Research Data Management Services in Tertiary Institutions in Zimbabwe
Chigwada, J. P. (2021) · Advances in library and information science (ALIS) book series · doi:10.4018/978-1-7998-7258-0.ch022 · Cited by 2
The ethical and validity conundrum in epilepsy research in LMIC settings
Samia, P., Shah, A., Patel, A., Olielo, P., Mudave, L., & Gwer, S. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1196261 · Cited by 2
Liu, J., Zhao, K., Gu, L., & Xia, H. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03570-9 · Cited by 2
Mugotitsa, B., Momanyi, R. O., Amadi, D., Andeso, P., Mailosi, D., Ochola, M., Cygu, S. B., Omondi, E., Wekesah, F. M., Tsofa, B., et al. (2025) · Wellcome Open Research · doi:10.12688/wellcomeopenres.22380.2 · Cited by 1
Thystrup, C., Ogunbiyi, T. S., & Hald, T. (2025) · Communications Medicine · doi:10.1038/s43856-025-01115-y · Cited by 1
Chandrasekhar, R., & de Rosnay, M. D. (2025) · Open Research Europe · doi:10.12688/openreseurope.21212.1 · Cited by 1
Investigating the Barriers and Enablers to Data-Sharing Behaviors: A Qualitative Registered Report
Henderson, E. L., Abrams, R., Marcu, A., Atkins, L., & Farran, E. K. (2025) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459251385960 · Cited by 2
Attitudes and practices of researchers on the sharing of genomic data: a qualitative study in Uganda
Ekusai‐Sebatta, D., Munabi, I. G., Kyaddondo, D., Ssemata, A. S., Nantamu, M., Mafigiri, D. K., Singh, S., & Mwaka, E. (2026) · BMC Medical Ethics · doi:10.1186/s12910-026-01386-7 · Cited by 1
Renal Clinical Study Participants Support Data Sharing and Use of Artificial Intelligence
Aramendía‐Vidaurreta, V., García-Ruiz, L., Aznárez‐Sanado, M., Aastrup, M., Bozzetto, M., Brambilla, P., Echeverría‐Chasco, R., Hansen, E. S. S., Micu, L., Mora‐Gutiérrez, J. M., et al. (2026) · Kidney International Reports · doi:10.1016/j.ekir.2026.106354 · Cited by 1
Autism data sharing: Benefits, challenges, and recommendations
Lautarescu, A., Trost, B., Kushki, A., Oakley, B. F. M., Heraty, S., Belton, D., Boyle, A., Douglas, S., Molloy, C. J., Holt, R., et al. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001249 · Cited by 1
Mwinami, N. V., Dulle, F., & Mtega, W. P. (2022) · Journal of Agricultural & Food Information · doi:10.1080/10496505.2023.2190899 · Cited by 1
van der Merwe, N., Sima, C. A. A. N., & Munung, N. S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18546-5.00010-3 · Cited by 1
Mosha, N. F., & Ngulube, P. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1437543 · Cited by 2
How Should Meaningful Evidence Be Generated From Datasets?
Morton, C. E., & Rentsch, C. T. (2025) · The AMA Journal of Ethic · doi:10.1001/amajethics.2025.27 · Cited by 1
Sharawy, I. (2022) · Research Square · doi:10.21203/rs.3.rs-1319747/v1 · Cited by 1
Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy
Smit, M., Larose, C., Falvey, C., Fitzsimmons, S., & Macdonald, C. (2022) · doi:10.15273/10222/81965 · Cited by 1
Oglat, A., Shdaifat, S., Sayah, M., Abukonna, A., & Khogali, W. (2026) · Drug, Healthcare and Patient Safety · doi:10.2147/dhps.s595721
“120,121 Despite the availability of data, publication efforts may be obstructed by institutional limitations or elevated rejection rates in peer-reviewed journals.”
Assessment, Usability, and Sociocultural Impacts of DataONE
Sandusky, R. J., Allard, S. L., Baird, L., Cannon, L. P., Crowston, K., Forrester, A., Grant, B. W., Hu, R., Olendorf, R., Pollock, D., et al. (2021) · International Journal of Digital Curation · doi:10.2218/ijdc.v16i1.678 · Cited by 1
(2021) · Natural hazards and earth system sciences · doi:10.5194/nhess-2021-152-rc3
Incentivized Research Data Sharing, Reusing and Repurposing with Blockchain Technologies
Seneviratne, O. W., & McGuinness, D. L. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.889
(2021) · Natural hazards and earth system sciences · doi:10.5194/nhess-2021-152-rc2
Kchouk, S. (2021) · Natural hazards and earth system sciences · doi:10.5194/nhess-2021-152-ac1
Kchouk, S. (2021) · Natural hazards and earth system sciences · doi:10.5194/nhess-2021-152-ac2
Metadata
- Authors
- Bezuidenhout, L., & Chakauya, E.
- Affiliations
- University of the Witwatersrand (ZA)
- NEPAD-SANBio (Southern African Network of Biosciences), Pretoria, South Africa
- Corresponding author
- Bezuidenhout, Louise
- Venue
- Global Bioethics
- Publisher
- Informa UK Limited
- Published
- 2018-01
- Volume
- 29
- Issue
- 1
- Pages
- 39-54
- ISSN
- 1128-7462 (ISSN-L)
- 1591-7398
- PMC
- PMC5827722
- OpenAlex
- W2789684428
- Cited by
- 126
- References
- 23
- Citations by year
- 2026: 16 · 2025: 12 · 2024: 16 · 2023: 20 · 2022: 22 · 2021: 20 · 2020: 10 · 2019: 9 · 2018: 1
- FWCI
- 16.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Global Bioethics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- INASP
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Social Sciences › Sociology and Political Science › Data Analysis and Archiving
- Keywords
- research data sharing, open data, low- and middle-income countries, Global South, incentives and disincentives, life scientists, research infrastructure, research funding, internet access, research visibility, sub-Saharan Africa
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review