Re: Call for Linked Research

smartprotocols.org for reproducibility

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> On Jul 28, 2014, at 5:45 PM, Andrea Splendiani <andrea.splendiani@iscb.org> wrote:
> 
> Hi,
> 
> while I agree with you all, I was thinking: is the lack of reproducibility an issue due to the way results are represented ?
> Apart for some fields (e.g.: bioinformatics), materials, samples, experience are probably more relevant and much harder to reproduce.
> 
> best,
> Andrea
> 
>> Il giorno 28/lug/2014, alle ore 16:16, Paul Houle <ontology2@gmail.com> ha scritto:
>> 
>> 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 23:07:46 UTC