Volume 50 - Article 43 | Pages 1265–1280  

Open science practices in demographic research: An appraisal

By Ugofilippo Basellini

References

Alexander, M. (2022). Reproducibility in demography. Paper presented at the 2022 Toronto Workshop on Reproducibility.

Bem, D.J. (2011). Feeling the future: Experimental evidence for anomalous retroactive influences on cognition and affect. Journal of Personality and Social Psychology 100(3): 407.

Weblink:
Download reference:

Bijak, J. (2019). P-values, theory, replicability, and rigour. Demographic Research 41(32): 949–952.

Weblink:
Download reference:

Christensen, G., Freese, J., and Miguel, E. (2019). Transparent and reproducible social science research: How to do open science. Berkeley, CA: University of California Press.

Download reference:

Crüwell, S., Apthorp, D., Baker, B.J., Colling, L., Elson, M., Geiger, S.J., Lobentanzer, S., Monéger, J., Patterson, A., Schwarzkopf, D.S., Zaneva, M., and Brown, N.J.L. (2023). What’s in a badge? A computational reproducibility investigation of the open data badge policy in one issue of Psychological Science. Psychological Science 34(4): 512–522.

Weblink:
Download reference:

Dickersin, K. (1990). The existence of publication bias and risk factors for its occurrence. JAMA: The Journal of the American Medical Association 263(10): 1385.

Weblink:
Download reference:

Else, H. and Van Noorden, R. (2021). The fight against fake-paper factories that churn out sham science. Nature 591(7851): 516–520.

Weblink:
Download reference:

European Commission (2015). Open innovation, open science, open to the world – A vision for Europe. Luxembourg: Publications Office of the European Union.

Weblink:
Download reference:

Fišar, M., Greiner, B., Huber, C., Katok, E., and Ozkes, A.I. (2024). Reproducibility in Management Science. Management Science 70(3): 1343–1356.

Weblink:
Download reference:

Freese, J. and Peterson, D. (2017). Replication in social science. Annual Review of Sociology 43: 147–165.

Weblink:
Download reference:

Hanson, M.A., Barreiro, P.G., Crosetto, P., and Brockington, D. (2023). The strain on scientific publishing. Cornell University.

Weblink:
Download reference:

Hardwicke, T.E., Bohn, M., MacDonald, K., Hembacher, E., Nuijten, M.B., Peloquin, B.N., deMayo, B.E., Long, B., Yoon, E.J., and Frank, M.C. (2021). Analytic reproducibility in articles receiving open data badges at the journal Psychological Science: An observational study. Royal Society Open Science 8(1).

Weblink:
Download reference:

Ioannidis, J.P. (2005). Why most published research findings are false. PLoS Medicine 2(8): 124.

Weblink:
Download reference:

Kerr, N.L. (1998). HARKing: Hypothesizing After the Results are Known. Personality and Social Psychology Review 2(3): 196–217.

Weblink:
Download reference:

Kidwell, M.C., Lazarević, L.B., Baranski, E., Hardwicke, T.E., Piechowski, S., Falken-berg, L.S., Kennett, C., Slowik, A., Sonnleitner, C., Hess-Holden, C., Errington, T.M., Fiedler, S., and Nosek, B.A. (2016). Badges to acknowledge open practices: A simple, low-cost, effective method for increasing transparency. PLoS Biology 14(5): e1002456.

Weblink:
Download reference:

Krähmer, D., Schächtele, L., and Schneck, A. (2023). Care to share? Experimental evidence on code sharing behavior in the social sciences. PLoS ONE 18(8): 0289380.

Weblink:
Download reference:

McKiernan, E.C., Bourne, P.E., Brown, C.T., Buck, S., Kenall, A., Lin, J., McDougall, D., Nosek, B.A., Ram, K., Soderberg, C.K., Spies, J.R., Thaney, K., Updegrove, A., Woo, K.H., and Yarkoni, T. (2016). How open science helps researchers succeed. eLife 5.

Weblink:
Download reference:

Merli, M.G., Moody, J., Verdery, A., and Yacoub, M. (2023). Demography’s changing intellectual landscape: A bibliometric analysis of the leading anglophone journals, 1950–2020. Demography 60(3): 865–890.

Weblink:
Download reference:

Mirowski, P. (2018). The future(s) of open science. Social Studies of Science 48(2): 171–203.

Weblink:
Download reference:

National Academies of Sciences, Engineering, and Medicine, (2018). Open science by design: Realizing a vision for 21st century research. Washington, DC: The National Academies Press.

Weblink:
Download reference:

National Academies of Sciences, Engineering, and Medicine, (2019). Reproducibility and replicability in science. Washington, DC: The National Academies Press.

Weblink:
Download reference:

Nosek, B.A., Hardwicke, T.E., Moshontz, H., Allard, A., Corker, K.S., Dreber, A., Fidler, F., Hilgard, J., Kline Struhl, M., Nuijten, M.B., Rohrer, J.M., Romero, F., Scheel, A.M., Scherer, L.D., Schönbrodt, F.D., and Vazire, S. (2022). Replicability, robustness, and reproducibility in psychological science. Annual Review of Psychology 73: 719–748.

Weblink:
Download reference:

Ooms, J. (2023). pdftools: Text extraction, rendering and converting of PDF documents.

Weblink:
Download reference:

Open Science Collaboration (2015). Estimating the reproducibility of psychological science. Science 349(6251): aac4716.

Weblink:
Download reference:

Piwowar, H.A. and Vision, T.J. (2013). Data reuse and the open data citation advantage. PeerJ 1: 175.

Weblink:
Download reference:

Prike, T. (2022). Open science, replicability, and transparency in modelling. In: Bijak, J. (ed.). Towards Bayesian model-based demography: Agency, complexity and uncertainty in migration studies. Cham: Springer International Publishing: 175–183.

Weblink:
Download reference:

R Core Team (2023). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.

Weblink:
Download reference:

Rahal, R.M., Hamann, H., Brohmer, H., and Pethig, F. (2022). Sharing the recipe: Reproducibility and replicability in research across disciplines. Research Ideas and Outcomes 8.

Weblink:
Download reference:

Simmons, J.P., Nelson, L.D., and Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science 22(11): 1359–1366.

Weblink:
Download reference:

Tedersoo, L., Küungas, R., Oras, E., Köster, K., Eenmaa, H., Leijen, Ä, Pedaste, M., Raju, M., Astapova, A., and Lukner, H. (2021). Data sharing practices and data availability upon request differ across scientific disciplines. Scientific Data 8(1): 192.

Weblink:
Download reference:

United Nations Educational, Scientific and Cultural Organization (2021). UNESCO recommendation on open science. SC-PCB-SPP/2021/OS/UROS.

Van Noorden, R. (2023). More than 10,000 research papers were retracted in 2023: A new record. Nature 624(7992): 479–481.

Weblink:
Download reference:

Vandewalle, P. (2012). Code sharing is associated with research impact in image processing. Computing in Science and Engineering 14(4): 42–47.

Weblink:
Download reference:

Vicente-Saez, R. and Martinez-Fuentes, C. (2018). Open science now: A systematic literature review for an integrated definition. Journal of Business Research 88: 428–436.

Weblink:
Download reference:

Wang, X., Liu, C., Mao, W., and Fang, Z. (2015). The open access advantage considering citation, article usage and social media attention. Scientometrics 103(2): 555–564.

Weblink:
Download reference:

Wasserstein, R.L. and Lazar, N.A. (2016). The ASA statement on p-values: Context, process, and purpose. The American Statistician 70(2): 129–133.

Weblink:
Download reference:

Back to the article