Data sharing
By M. McNutt. 2016
342 citations recorded by the source corpus.
Subfields: Health, Toxicology and Mutagenesis
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Health, Toxicology and Mutagenesis
Citations in the corpus
- Meta-analysis and the science of research synthesis (2018, neutral): “This is not dissimilar to recently expressed views in medicine that research synthesists are “research parasites” 75 of primary studies and the researchers who conduct them.”
- Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights (2016, result): “On a final note, we notice that metaanalyses like the one we performed here were recently regarded as “research parasitism” [60], because we analyse data produced by other laboratories.”
- Data, disease and diplomacy: GISAID's innovative contribution to global health (2017, background): “…in the timely exchange of information integral to the selection of pre-pandemic vaccine viruses.85 Strain selection for the seasonal flu vaccines Beyond the specter of pandemic flu, EpiFlu™ also contains the most up-to-date collection of data on seasonal influenza viruses (Neher and Bedford, 2015).”
- The MIMIC Code Repository: enabling reproducibility in critical care research (2017, background): “Longo et al.(33) argue, in a wellpublicized editorial on data sharing, that researchers not involved in the collection of data may lack an understanding of its underlying details.”
- Transparency, Reproducibility, and the Credibility of Economics Research (2018, neutral): “…(Taichman et al. 2016) an editorial in the leading New England Journal of Medicine caused an outcry when they responded by describing those who do secondary analysis without the co-authorship and cooperation of the original data collecting author as “research parasites” (Longo and Drazen 2016).”