Recommended practices for the open publication of epidemiological research data and reports

Authors

DOI:

https://doi.org/10.56294/dm2023108

Keywords:

Epidemiology, Open Publishing, Transparent Data, Open access, Public health

Abstract

Introduction: Epidemiology plays a fundamental role in public health by providing evidence for decision making. However, the lack of access to data limits the evaluation and replicability of epidemiological studies.
Objective: Establish recommended practices for the open publication of epidemiological research data and reports, in order to maximize their value and accessibility.
Method: A systematic review of open publication guidelines was conducted. Good practices were identified in the stages of collection, storage, publication and dissemination of epidemiological information.
Results: Consensus was found on the importance of using standardized instruments, documenting metadata, storing data in repositories with open licenses, assigning digital identifiers and publishing in open access journals.
Conclusions: The adoption of these recommended practices will substantially improve the quality, replicability and use of epidemiological research. This will strengthen transparency, scientific collaboration and evidence-based decision making.

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References

Mata-Orozco M, López-Caldera M, Meza Palma D, Labrador Parra A, Sarco Lira J, Pérez H, et al. Enfoques emergentes de la epidemiología: una mirada desde la transdisciplinariedad. Comunidad y Salud 2016;14:50–62.

Rodríguez E, Arias Gómez A, Sifontes S, Luna H, Gaiti J. Epidemiología. Archivos Venezolanos de Puericultura y Pediatría 2010;73:028–34.

Savage CJ, Vickers AJ. Empirical Study of Data Sharing by Authors Publishing in PLoS Journals. PLoS ONE 2009;4:e7078. https://doi.org/10.1371/journal.pone.0007078.

Rothman KJ, Greenland S, Lash TL. Modern Epidemiology. 3rd Edition. Philadelphia, USA: Lippincott Williams & Wilkins; 2008.

Ioannidis JPA, Boyack KW, Small H, Sorensen AA, Klavans R. Bibliometrics: Is your most cited work your best? Nature 2014;514:561–2. https://doi.org/10.1038/514561a.

Rothman KJ, Gallacher JE, Hatch EE. Why representativeness should be avoided. International Journal of Epidemiology 2013;42:1012–4. https://doi.org/10.1093/ije/dys223.

Vallejo RG. Metaverse and translation studies: analysis of machine translation. Metaverse Basic and Applied Research 2023;2:38–38. https://doi.org/10.56294/mr202338.

Van Panhuis WG, Paul P, Emerson C, Grefenstette J, Wilder R, Herbst AJ, et al. A systematic review of barriers to data sharing in public health. BMC Public Health 2014;14:1144. https://doi.org/10.1186/1471-2458-14-1144.

Enago Academy. Who Benefits From Open Access? Enago Academy 2017. https://www.enago.com/academy/benefits-open-access/.

Birkhead GS, Klompas M, Shah NR. Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health. Annu Rev Public Health 2015;36:345–59. https://doi.org/10.1146/annurev-publhealth-031914-122747.

Montano M de las NV, Álvarez MK. The educational and pedagogical intervention in scientific research. Community and Interculturality in Dialogue 2023;3:70–70. https://doi.org/10.56294/cid202370.

Vandenbroucke JP, Von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration. International Journal of Surgery 2014;12:1500–24. https://doi.org/10.1016/j.ijsu.2014.07.014.

Castillo-Gonzalez W. ChatGPT and the future of scientific communication. Metaverse Basic and Applied Research 2022;1:8–8. https://doi.org/10.56294/mr20228.

Crichton GE, Murphy KJ, Bryan J. Dairy intake and cognitive health in middle-aged South Australians. Asia Pac J Clin Nutr 2010;19:161–71.

Wallis JC, Rolando E, Borgman CL. If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology. PLoS ONE 2013;8:e67332. https://doi.org/10.1371/journal.pone.0067332.

Castillo-González W. The importance of human supervision in the use of ChatGPT as a support tool in scientific writing. Metaverse Basic and Applied Research 2023;2:29–29. https://doi.org/10.56294/mr202329.

Yusuf S, Joseph P, Rangarajan S, Islam S, Mente A, Hystad P, et al. Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study. The Lancet 2020;395:795–808. https://doi.org/10.1016/S0140-6736(19)32008-2.

Gonzalez-Argote J. Navigating the Labyrinth of Communities and Interculturality. Community and Interculturality in Dialogue 2021;1:1–1. https://doi.org/10.56294/cid20211.

Kristman V, Manno M, Côté P. Loss to Follow-Up in Cohort Studies: How Much is Too Much? Eur J Epidemiol 2003;19:751–60. https://doi.org/10.1023/B:EJEP.0000036568.02655.f8.

Leveau CM. Difusión espacio-temporal de muertes por COVID-19 en Argentina. Revista Panamericana de Salud Pública 2021;45:1. https://doi.org/10.26633/RPSP.2021.3.

Moher D, Liberati A, Tetzlaff J, Altman D. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. Ann Intern Med 2009;151:264. https://doi.org/10.7326/0003-4819-151-4-200908180-00135.

Lachat C, Hawwash D, Ocké MC, Berg C, Forsum E, Hörnell A, et al. Strengthening the Reporting of Observational Studies in Epidemiology - nutritional epidemiology (STROBE-nut): An extension of the STROBE statement. Nutr Bull 2016;41:240–51. https://doi.org/10.1111/nbu.12217.

Published

2023-10-25

How to Cite

1.
Ferrer-Peñaranda L-A, Castro Llaja L, Ferrer-Mejía M-L, Díaz Tavera ZR, Ramirez Wong FM, Velarde Dávila L, Dávila-Morán RC. Recommended practices for the open publication of epidemiological research data and reports. Data and Metadata [Internet]. 2023 Oct. 25 [cited 2023 Dec. 3];2:108. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/108

Issue

Section

Short communications