Data Skeptic is a podcast that alternates between short mini episodes with the host explaining concepts from data science to his non-data scientist wife, and longer interviews featuring practitioners and experts on interesting topics related to data, all through the eye of scientific skepticism.
ContentMine is a project which provides the tools and workflow to convert scientific literature into machine readable and machine interpretable data in order to facilitate better and more effective access to the accumulated knowledge of human kind. The program’s founder Peter Murray-Rust joins us this week to discuss ContentMine. Our discussion covers the project, the scientific publication process, copyright, and several other interesting topics.
Full transcript available here: ContentMine full transcript.
The draft transcript is ~98% accurate and Peter will edit this in due course.
— Peter Murray-Rust (@petermurrayrust) August 28, 2015
Both the audio and transcript are licensed under Creative Commons CC-BY.
With so much valuable content, in due course, we shall break this down into more sizable segments, but for now, enjoy the interview in full.
Just some of the topics covered:-
- First and foremost, Justice
- Open Access (OA)
- Open Data
- Open Notebook Science (ONS)
- Open Source Malaria Project
- Our mantra, “the right to read is the right to mine“
- Ebola & Paywalls
- Legal challenges
- Aaron Swartz
- Digital Rights Management (DRM)
- HADOPI law
- Our Open Source Software
- Building Communities (CMunity)