… , optimizing collaboration and the rapid dissemination of research [7]. Recently, however, … , models and tools to conduct studies, both at the paper/project level and at a large-scale …
… Four of the large-scale replications projects were accompanied by forecasting projects: the ReproducibilityProject: … led by the Open Science Collaboration. One of the aims of the ML2 …
… large-scale systematic replications of the literature have emerged as a way to assess the problem empirically… of managing a multicentre project with collaborating teams across the …
… -analysis techniques associated with large-scale datasets … on established conventions regarding reproducibility and good … collaborative dynamics, and on practice, that empiricalwork in …
X Lin - Harvard data science review, 2020 - ncbi.nlm.nih.gov
… to collaborative frameworks, open access analysis tools, and … reproducible and replicable research through partnerships of … improved over years, as empiricalevidence evolves. Just as …
… support your vision of a large-scalecollaborativeproject. BTS … for which there was already strong empirical support: infants' … These tools allow for transparent and reproducible workflows …
AS Wagner, LK Waite, M Wierzba, F Hoffstaedter… - Scientific data, 2022 - nature.com
… and reproducibility of basic floating point operations, it may be possible to nevertheless achieve bitwise identical result by reducing the precision of stored outcomes to empirically …
… study to better understand the non-reproducibility of software bugs. First, we perform an empiricalstudy using 576 non-reproducible … to non-reproducibility. Second, we conduct a user …
C Willis, V Stodden - Harvard Data Science Review, 2021 - par.nsf.gov
… the report, we define a reproducibilityinitiative as formal activities … , sometimes in collaboration with leadership in research data … reproducibility of research that relies on large-scale …