OpenVisionScience: Difference between revisions

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4. Deborah Anthorp, [http://www.slideshare.net/dapthorp/file-drawer-talk  Publication bias, the File Drawer Problem, and how innovative publication models can help]
4. Deborah Anthorp, [http://www.slideshare.net/dapthorp/file-drawer-talk  Publication bias, the File Drawer Problem, and how innovative publication models can help]


5. Jonathan Peirce, [http://www.slideshare.net/peircej/opensource-your-science  http://www.slideshare.net/peircej/opensource-your-science]
5. Jonathan Peirce, [http://www.slideshare.net/peircej/opensource-your-science  opensource your science]


6. Ian Thornton, [http://www.slideshare.net/imthornton/academic-apps  Exploiting modern technology in making experiments: the academic app store]
6. Ian Thornton, [http://www.slideshare.net/imthornton/academic-apps  Exploiting modern technology in making experiments: the academic app store]

Revision as of 01:11, 21 September 2012

This site provides information and resources regarding open science for vision scientists. From past and future events, to open source software options, to open access publishers, to data and code sharing solutions and the politics and policy that shapes the type of science that we do, this site is intended to provide a broad resource to those interested in making vision science a more open science.

Background

These videos provide a useful introduction to some of the issues surronding the need and potential for open science; you might also find them useful resources to introduce your students to these issues and problems.

Open source software options

Statistics R - for an open source integrated development environment see R studio.

Experiment construction PsychoPy.

Reference Management with Zotero; you can find a guide to using it here

For a more in-depth discussion of open science software options for the whole process of running an experiment, see the blog by Jonas Kubilius doing-science-in-the-open

Publishing Options

We all hope for an open system of science in which:

  • Journal articles are inexpensive or free.
  • Peer review is fair and efficient.
  • Experiments can be fully replicated by anyone.

Achieving these goals is more feasible than ever, but most publishers, journals, and researchers have made few changes to the way they do business.

Fully open access journals in Vision Science: Journal of Vision, i-Perception.

Peer review Options

Blog from Nikolaus Kriegeskorte: Open post-publication peer review

Publication from Dwight Kravitz and Chris Baker: "Toward a new model of scientific publishing: discussion and a proposal"

Policy and politics for open science

Chris Chambers and Petroc Sumner Replication is the only solution to scientific fraud "If academia is to be cleaned up, the Research Excellence Framework must prize replication over politics"

Future Events

Open Research, 6-8, Feb2013, Auckland, Nealand

Past Events

ECVP 2012

Slides from Symposium, a vision for open science:

1. Lee de-Wit, Does rewarding that which is easy to measure lead to better science?

2. Nick Scott-Samuel, Why have so many academics decided to boycott Elsevier?

3. Amye Kenall,Open access and author-owned copyright

4. Deborah Anthorp, Publication bias, the File Drawer Problem, and how innovative publication models can help

5. Jonathan Peirce, opensource your science

6. Ian Thornton, Exploiting modern technology in making experiments: the academic app store

Woolcock Institute 2012

1. Alex Holcombe The broadest problem in science: Our publishing system

VSS 2012

1. Alex Holcombe Moving towards inexpensive and open publishing

For more information on the VSS event, go to: OpenVisionScienceVSS


Ways to take action

Sign the cost of knowledge petition were over 12000 researchers are refusing to review, edit, and/or publish with Elsevier. Vision researchers spotted on the list include George Lovell, Jon Pierce, Edward Adelson, Alex Holcombe (who is only partially boycotting, and also made a pledge at OpenAccessPledge), Deborah Aphtorp, Joan Lopez-Moliner, Rainer Mausfeld, Nick Scott-Samuel, Michel Treisman,

Continue the discussion

At the Google Group, and on CVnet.

Or on Twitter: #OpenVisionSci, @openscience, @costofknowledge, @ceptional, @i_Perception, @michael_nielson