Tag Archives: open science

Need for Credit in Open Science

The Guardian has a new post on the need for attribution in open science. From the post:

Basically, scientists are only as good as their ideas, and even though ideas may be ephemeral, the credit for those ideas is not. Credit gets jobs, keeps jobs, gets funding, attracts students and bestows respect and international standing in the community.

Microsoft and the OER Foundation

Microsoft New Zealand has issued a press release announcing collaboration with the OER foundation. From the press release:

Microsoft, working alongside the Open Education Resource (OER) Foundation at Otago Polytechnic and the Ministry of Education, has produced a new, open source extension for Microsoft Word that allows documents to be saved in a Wiki-friendly format called MediaWiki, as used by the popular online encyclopedia, Wikipedia.

Toward Open Science

Michael Nielson has a new post about moving towards “open science.” From the post:

The most critical issue however is rapid deployment of expertise to specific problems. To apply a distributed rapid innovation model we need the means to rapidly identify the very limited number of people with appropriate expertise to solve the problem at hand.

View on Open Science

Cameron Neylon posted in his blog, Science in the Open, an essay he prepared for the Open Science Workshop entitled “A personal view of Open Science”. Snippets:

Openness is arguably the great strength of the scientific method. At its core is the principle that claims and the data that support them are placed before the community for examination and critique. Through open examination and critical analysis models can be refined, improved, or rejected.

There is a growing community interested in adopting more open practices in their research, and increasingly this community is developing as a strong voice in discussions of science policy, funding, and publication.

The vagueness of the term ‘Open Science’ means that while it is a good banner there is a potential for confusion. Standards, policies, and brands can provide clarity for researchers, a clear articulation of aspirations (and a guide to the technical steps required to achieve them), and the support required to help people actually make this happen in their own research.