Curate Science - Crowdsourcing the Transparency of Empirical Research.
Curate Science is a platform to crowdsource the credibility of scientific research by curating its transparency, analytic reproducibility, analytic robustness, and replicability.
Excited to release initial beta for
's new author pages. Featured authors:
Imagine a future where all article's transparency and replication info is nicely labeled & linked this way!
's theoretical framework published online
's meta-science journal AMPSS: "A Unified Framework to Quantify the Credibility of Scientific Findings"
Now published at AMPPS, "A Unified Framework to Quantify the Credibility of Scientific Findings" by
See also, Curate Science:
that's in part precisely what
is currently doing, and we've just received a 2-year
grant to scale up the platform see
to search among 137 articles reporting 1161 replications of 205 effects in psychology. feedback welcome!
looking for code contributions for front-end minor issues for open-source curation platform
a Python/Django API app w/ React front-end) see
please forward/ping anyone you know who may be interested/able
seeking feedback from the research community on next batch of features/feature improvements to be implemented at
(from a researcher's perspective labeling transparency of one's articles). see
send feedback via github, Twitter, email
well said! And that's part of Curate Science's vision: give public credit to researchers who take the extra effort to report their research more transparently, even if only a *tad* more transparently. New homepage redesign (check it out
), more coming soon!
yup, we're curating and linking availability of public code at
; currently N=79 articles have "earned" the public code badge/label (us the public code filter on the right to search within this set of articles).
A list of potential train wrecks - substantial list of studies based on irreplaceable results - can be found on
this is great! Woll & Schönbrodt (2018) is now 1st preregistered meta on
. it is also 1st meta to comply with a relevant reporting standard (APA's MARS reporting standards for metas), as indicated by reporting standard badge & popup (we'll soon add PRISMA)
- you can thank
for this wonderful page.
Etienne P. LeBel
and this is (in part) why
awards open/public code badges (labels and links public code to associated article)! see