Communicating research - What could possibly go wrong?
<p>The results of scholarly research are typically communicated via<br /> research articles. Researchers (or anyone else) can usually get access<br /> to such an article only if they or their institutions have subscribed<br /> to the journal that the article is published in. There are thousands<br /> of such journals.<br /> <br /> This system of distributing research made perfect sense in the paper<br /> age, but keeping it this far into the digital age is a serious #Fail<br /> of the research system.<br /> <br /> The video features an interview focused on an alternative research<br /> communication system known as Open Access. It means that readers do<br /> not have to pay for accessing the articles, and that they can use the<br /> text and associated materials in any way they want, provided the<br /> original source and its open license are acknowledged.<br /> <br /> Such an interview is often edited before it is cut, just like the<br /> final published research articles only contain a heavily edited<br /> representation of the research they report on, with most of the<br /> process actually being hidden to other researchers and the public.<br /> <br /> We want to expose that process of only publishing polished versions -<br /> and discarding negative results on the go - by making the process<br /> visible that created this video, showing different takes all centred<br /> around the question "What is Open Access?".<br /> <br /> We think that published research should be accompanied by all the raw<br /> data, and to illustrate that, we are also uploading the unedited<br /> version of the interview via a platform for sharing research data.<br /> <br /> This is a contribution to http://www.fastforwardscience.de via https://www.youtube.com/watch?v=KVq5o38sUGU<br /> <br /> Music: More Time by Mamavibe Reggae Vibration, http://www.jamendo.com/en/track/89201...<br /> CC BY 3.0<br /> <br /> Video under CC BY 4.0 Licence</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0