Open Science, Open Source and R

peter.suber's bookmarks 2019-02-21


"Even when the authors sent you their data, it often didn't help that much. One of the most common problems was that when you re-analysed their data, you ended up with different answers to it! This turned out to be quite common, because most descriptions of data analyses provided in journal articles are incomplete and ambiguous. What you really needed was the original authors' source code—an unambiguous and complete record of every data processing step they took, from the raw data files, to the graphs and statistics in the final report....

There's still one major problem to solve. Publishing your scientific source code is essential for open science, but it's not enough. For fully open science, you also need the platforms on which that code runs to be open. Without open platforms, the future usability of open-source code is at risk....

The Replication Crisis might have been one of the best things ever to happen to psychology. It became a catalyst for much-needed change to our scientific processes...."


From feeds:

Open Access Tracking Project (OATP) » peter.suber's bookmarks

Tags: oa.reproducibility oa.floss oa.open_science oa.psychology oa.ssh oa.platforms oa.infrastructure

Date tagged:

02/21/2019, 09:06

Date published:

02/21/2019, 04:06