Motivation:
          • Breaking barriers in publishing demands a proactive attitude
          • Open data, open review and open dialogue in making social sciences plausibl

La, Viet-Phuong

Vuong, Quan-Hoang

English

PhilPapers

Retractions Data Mining #1  Quan-Hoang Vuong Viet-Phuong La  AISDL, Vuong & Associates Hanoi, Feb 2019  Contributors:   Quan-Hoang Vuong Viet-Phuong La  Date created: 2019-02-26 06:26 PM | Last Updated: 2019-10-12 12:48 PM Identifier: DOI 10.17605/OSF.IO/PBWV3 Category: Project License: CC0 1.0 Universal   https://osf.io/pbwv3/  Main Datasets: • retrac-tion_18603.csv  (version: 1). • retrac-tion_18603.xlsx  (version: 1). Inspiration:  • RetractionWatch Database (Ivan Oransky and Adam Marcus) Principles:  • An open database of productivity in Vietnam's social sciences and humanities for public use • Survey data on Vietnamese propensity to attend periodic general health examinations • Making social sciences more scientific: Literature review by structured data Motivation: • Breaking barriers in publishing demands a proactive attitude • Open data, open review and open dialogue in making social sciences plausible The project datasets, and associated files, have been used in such research studies as: • The limitations of retraction notices and the heroic acts of authors who correct the scholarly record: an analysis of retractions of papers published from 1975-2019 (Dec 2019) • Characteristics of retracted articles based on retraction data from online sources through February 2019 (Feb 2020) Media mentions: • LSE Impact of Social Sciences (Feb 20, 2020) • The RW Daily (Feb 21, 2020) The datasets and related files (including graphics) can be freely used as they are distributed under the Creative Commons License: CC0 1.0 Universal. References: Vuong  QH,  La  VP. (2019, Feb 26). Retractions  data  mining  #1:  retrac-tion_18603.csv  (version: 1). Open Science Framework. Available from: https://osf.io/2kymw/.   Vuong  QH,  La  VP. (2019  Feb  26). Retractions  data  mining  #1:  retrac-tion_18603.xlsx  (version: 1). Open Science Framework. Available from: https://osf.io/a2w8h/ Vuong QH. (2019). Breaking barriers in publishing demands a proactive attitude. Nature Human Behaviour, 3(10): 1034. doi: 10.1038/s41562-019-0667-6. URL: https://www.nature.com/articles/s41562-019-0667-6. Vuong QH, La VP, Vuong TT, ..., & Ho MT. (2018). An open database of productivity in Vietnam's social sciences and humanities for public use. Scientific Data, 5: 180188. doi:10.1038/sdata.2018.188. URL: https://www.nature.com/articles/sdata2018188. Vuong QH. (2017). Survey data on Vietnamese propensity to attend periodic general health examinations. Scientific Data, 4: 170142. doi:10.1038/sdata.2017.142. URL: https://www.nature.com/articles/sdata2017142. Vuong QH, Le AV, La VP, Hoang PH, Ho MT. (2020). Making social sciences more scientific: Literature review by structured data. MethodsX, 7: 100818. https://doi.org/10.1016/j.mex.2020.100818. Vuong QH. (2017). Open data, open review and open dialogue in making social sciences plausible. Nature: Scientific Data Updates (December 12). URL: https://go.nature.com/2QdnUrW. Vuong QH. (2020). The limitations of retraction notices and the heroic acts of authors who correct the scholarly record: an analysis of retractions of papers published from 1975-2019. Learned Publishing, 33; doi:10.1002/LEAP.128. URL: https://onlinelibrary.wiley.com/doi/full/10.1002/leap.1282. Vuong QH, La VP, Ho MT, Vuong TT, Ho MT. (2020). Characteristics of retracted articles based on retraction data from online sources through February 2019. Science Editing, 7(1):34-44. doi:10.6087/kcse.187. Vuong, Q.H. (2020). Retractions: the good, the bad, and the ugly. What researchers stand to gain from taking more care to understand errors in the scientific record. LSE Impact of Social Sciences (Feb 20). URL: http://bit.ly/2T9M2x0. RetractionWatch. (2020). The RW Daily. RW (Feb 21). URL: https://mailchi.mp/retractionwatch/the-rw-daily-fictional-results-retraction-authors-angry-vaping-glantz-peer-review-usa-today-retractions-good-bad-ugly-sexual-misconduct-allegations. 

Retractions Data Mining #1

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Retractions Data Mining #1

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