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 <[email protected]> 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 <[email protected]> wrote: > > Subject: Re: Call for Linked Research > To: "Sarven Capadisli" <[email protected]> > Cc: "Linking Open Data" <[email protected]>, "SW-forum" <[email protected]> > 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 <[email protected]> > 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 [email protected] > -- Paul Houle Expert on Freebase, DBpedia, Hadoop and RDF (607) 539 6254 paul.houle on Skype [email protected]
