Call for Linked Research

Call for Linked Research
========================

Purpose: To encourage the "do it yourself" behaviour for sharing and 
reusing research knowledge.

Deadline: As soon as you can.

 From http://csarven.ca/call-for-linked-research :


Scientists and researchers who work in Web Science have to follow the 
rules that are set by the publisher; researchers need to have read and 
reuse access to other researchers work, and adopt archaic desktop-native 
publishing workflows. Publishers try to remain as the middleman for 
society’s knowledge acquisition.

Nowadays, there is more machine-friendly data and documentation made 
available by the public sector than the Linked Data research community. 
The general public asks for open and machine-friendly data, and they are 
following up. Web research publishing on the other hand, is stuck on one 
★ (star) Linked Data deployment scheme. The community has difficulty 
eating its own dogfood for research publication, and fails to deliver 
its share of the "promise".

There is a social problem. Not a technical one. If you think that there 
is something fundamentally wrong with this picture, want to voice 
yourself, and willing to continue to contribute to the Semantic Web 
vision, then please consider the following before you write about your 
research:

Linked Research: Do It Yourself

1. Publish your research and findings at a Web space that you control.

2. Publish your progress and work following the Linked Data design 
principles. Create a URI for everything that is of some value to you and 
may be to others e.g., hypothesis, workflow steps, variables, 
provenance, results etc.

3. Reuse and link to other researchers URIs of value, so nothing goes to 
waste or reinvented without good reason.

4. Provide screen and print stylesheets, so that it is legible on screen 
devices and can be printed to paper or output to desktop-native document 
formats. Create a copy of a view for the research community to fulfil 
organisational requirements.

5. Announce your work publicly so that people and machines can discover it.

6. Have an open comment system policy for your document so that any 
person (or even machines) can give feedback.

7. Help and encourage others to do the same.

There is no central authority to make a judgement on the value of your 
contributions. You do not need anyone’s permission to share your work, 
you can do it yourself, meanwhile others can learn and give feedback.

-Sarven
http://csarven.ca/#i