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Nele Noppe

Drexel CoAS E-Learning: Happy Accidents: A Must-Read for Open Scientists - 0 views

  • In Happy Accidents: Serendipity in Modern Medical Breakthroughs; When Scientists Find What They're NOT Looking for, Morton Meyers reviews examples of the unpredictability of scientific progress.
  • A quote from the preface foreshadows the tone of the book:The dominant convention of all scientific writing is to present discoveries as rationally driven and to let the facts speak for themselves. This humble ideal has succeeded in making scientists look as if they never make errors, that they straightforwardly answer every question they investigate. It banishes any hint of blunders and surprises along the way. Consequently, not only the general public but the scientific community itself is unaware of the vast role of serendipity in medical research.
  • A quote from the preface foreshadows the tone of the book:The dominant convention of all scientific writing is to present discoveries as rationally driven and to let the facts speak for themselves. This humble ideal has succeeded in making scientists look as if they never make errors, that they straightforwardly answer every question they investigate. It banishes any hint of blunders and surprises along the way. Consequently, not only the general public but the scientific community itself is unaware of the vast role of serendipity in medical research
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  • The dominant convention of all scientific writing is to present discoveries as rationally driven and to let the facts speak for themselves. This humble ideal has succeeded in making scientists look as if they never make errors, that they straightforwardly answer every question they investigate. It banishes any hint of blunders and surprises along the way
  • The dominant convention of all scientific writing is to present discoveries as rationally driven and to let the facts speak for themselves. This humble ideal has succeeded in making scientists look as if they never make errors, that they straightforwardly answer every question they investigate. It banishes any hint of blunders and surprises along the way.
  • An applicant for a research grant is expected to have a clearly defined program for a period of three to five years. Implicit is the assumption that nothing unforeseen will be discovered during that time and, even if something were, it would not cause distraction from the approved line of research. Yet the reality is that many medical discoveries were made by researchers working on the basis of a fallacious hypothesis that led them down an unexpected fortuitous path.
  • The fact that some of us in the Open Science community are discussing this does not mean that we are advocating for the abolition of peer review or the NIH. We are not that naive. We still submit proposals and manuscripts for publication in peer-reviewed journals (although given a choice we probably would pick an Open Access journal over one running on a paid subscription model).The point is what we do in addition to all those traditional processes.
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    The dominant convention of all scientific writing is to present discoveries as rationally driven and to let the facts speak for themselves. This humble ideal has succeeded in making scientists look as if they never make errors, that they straightforwardly answer every question they investigate. It banishes any hint of blunders and surprises along the way
Nele Noppe

Science 2.0: A Web Native Research Record - Applying the Best of the Web to the Lab Not... - 0 views

  • The links between things make the web go round I want to make science less like a great big monolithic document and make it more like a network of pieces of knowledge, wired together: Fragments of science Loosely coupled Tightly wired
  • What is a “fragment of science”? A paper is too big a piece, even if it is the "minimal publishable unit" A tweet is too small A blog post would be the right size
Nele Noppe

Panton Principles - 1 views

  • Many widely recognized licenses are not intended for, and are not appropriate for, data or collections of data. A variety of waivers and licenses that are designed for and appropriate for the treatment of data are described here. Creative Commons licenses (apart from CCZero), GFDL, GPL, BSD, etc are NOT appropriate for data and their use is STRONGLY discouraged. Use a recognized waiver or license that is appropriate for data.
  • The use of licenses which limit commercial re-use or limit the production of derivative works by excluding use for particular purposes or by specific persons or organizations is STRONGLY discouraged. These licenses make it impossible to effectively integrate and re-purpose datasets and prevent commercial activities that could be used to support data preservation.
  • Furthermore, in science it is STRONGLY recommended that data, especially where publicly funded, be explicitly placed in the public domain via the use of the Public Domain Dedication and Licence or Creative Commons Zero Waiver.
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  • Science is based on building on, reusing and openly criticising the published body of scientific knowledge
  • For science to effectively function, and for society to reap the full benefits from scientific endeavours, it is crucial that science data be made open.
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