Who cares about Open Data? We do.
A core principle of Open Science is providing access to the underlying data of a study. Hear from some of our authors why it’s so important.
Dimitrios Morikis
"Free sharing of scientific work removes access obstacles to data and publications, and allows curious and creative minds around the world to learn and contribute to scientific discussions and findings."
Cathrine Ebbing
"In Norway we are fortunate to have unique sources of data for epidemiological research, and our research can be of great value for the international scientific and medical community, as the knowledge that is generated by Norwegian data may be generalizable to other settings."
Pamela Skinner
"The more people that have access to the work, the more people that can work to advance the findings."
Daniel Borch Ibsen
"We wanted to understand whether or not body mass index trajectories in an ageing population were different between those with good or poor self-reported health. By using an open dataset and an innovative study design, we got a better and more nuanced understanding of the problem."
Michael Paull
"I have found my niche in developing tools to probe the large datasets that are now routinely generated."
Dipender Gill
"I was first attracted to research in genetics because of the vast amount of data that have already been collected and shared. This makes it efficient to perform high-quality studies that can have a real clinical impact, and is also integral to the values of Open Science."
Relevant Research
On Reproducibility
PLOS Biology
What is replication?
Learn more...
Two researchers from the Center for Open Science propose a new definition for replication that reduces emphasis on operational characteristics of the study and increases emphasis on the interpretation of possible outcomes.