Re: Call for Linked Research

Industrialization is about simplifying procedures and documenting this
that you don't need grad students and postdocs to do everything.  To
understand more of what I mean,  look at

http://www.amazon.com/The-E-Myth-Revisited-Small-Businesses/dp/0887307280
http://www.amazon.com/Quality-Free-Certain-Becomes-Business/dp/0070145121/
http://www.amazon.com/Checklist-Manifesto-How-Things-Right/dp/0312430000/
http://www.amazon.com/Out-Crisis-W-Edwards-Deming/dp/0262541157/

If you're interested in the question of work life balance I may suggest

http://www.amazon.com/Power-Full-Engagement-Managing-Performance/dp/0743226755/
ᐧ

On Mon, Jul 28, 2014 at 1:00 PM, Gannon Dick <gannon_dick@yahoo.com> wrote:
> Hi Paul,
>
> Could you elaborate what you mean by "industrialized procedures" ?  I've been working on Work-Life Balance issues for a long time.  Rest is a  "man made" phenomena, yet a Physician has no easy way to prescribe (relatively) exact doses.
>
> The math is straightforward if you know how the magic FFT Black Boxes work, but the concensus on the standards for "industrialized procedures" is lacking.  Employers are likely to perceive comment on their Social Conscience in an Employee exaustion diagnosis, and that might be the best result one could hope for.
>
> --Gannon
> --------------------------------------------
> On Mon, 7/28/14, Paul Houle <ontology2@gmail.com> wrote:
>
>  Subject: Re: Call for Linked Research
>  To: "Sarven Capadisli" <info@csarven.ca>
>  Cc: "Linking Open Data" <public-lod@w3.org>, "SW-forum" <semantic-web@w3.org>
>  Date: Monday, July 28, 2014, 9:16 AM
>
>  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
>



-- 
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 18:21:12 UTC