Policy: Restricting Data Sharing. Should seek co-authorship and/or collaboration before using data.
"[data sharing] will be taken over by what some researchers have characterized as “research parasites.”
Outcome: Major push back from researchers research community.
"We are strictly against such a monopoly based on data and for this reason suggested publication rules that prevent this from happening and plead for a data sharing with “research parasites” in the interest of the patients from whom the data originate" (
Emmert-Streib 2016).
"Currently, a scientific output only corresponds to a study report published in a medical journal, while in the near future it might consist of all materials described in the manuscript, including all relevant raw data. We need to change how we think about data (Drazen, 2015). Data sharing and open science are the future of science" (
Barbui 2016).
"Longo 2016 miss the very
point of scientific research when they write
that researchers may “even use the [open]
data to try to disprove what the original
investigators had posited.” It is at the core
of the scientific paradigm that researchers
take nothing as final truth. In fact, using
research data to try to disprove a result is good scientific practice, especially in light of
the replication crisis" (
Fecher 2016).
Our approach: We encourage data sharing and data citation. With Authorea we allow you to directly link your raw data with your figures or tables or even your
iPython notebook.