- From: Andrea Splendiani <andrea.splendiani@iscb.org>
- Date: Tue, 29 Jul 2014 00:45:14 +0200
- To: Paul Houle <ontology2@gmail.com>
- Cc: Sarven Capadisli <info@csarven.ca>, Linking Open Data <public-lod@w3.org>, SW-forum <semantic-web@w3.org>
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 22:45:46 UTC