OpenVisionScience

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.

• Amusing video Scientist Meets Publisher satirizes the current situation with closed journal publishing

• Inspiring video Michael Nielsen - Open Science setting out a very different vision for how to do science.

Open source software options

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

Experiment construction options include PsychoPy and OpenSesame.

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 (though this does not allow one to retain one's own copyright) and i-Perception.

For a full list in neuroscience/psychology go here.

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"

A selection of Frontiers in Computational Neuroscience papers exploring visions for open evaluation

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"

Brian A. Nosek, Jeffrey R. Spies, Matt Motyl, Restructuring incentives and practices to promote truth over publishability

Dorothee Bishop, How our current reward structures have distorted and damaged science

Reuters, EU Commission backs open-access science publishing

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

Join the Open Science Framework

Sign the cost of knowledge petition where 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