Re: Call for Linked Research

I'd add to all of this publishing the raw data,  source code,  and
industrialized procedures so that results are truly reproducible,  as
few results in science actually are.
ᐧ

On Mon, Jul 28, 2014 at 9:01 AM, Sarven Capadisli <info@csarven.ca> wrote:
> 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
>
>



-- 
Paul Houle
Expert on Freebase, DBpedia, Hadoop and RDF
(607) 539 6254    paul.houle on Skype   ontology2@gmail.com

Received on Monday, 28 July 2014 14:16:44 UTC