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Rescooped by Bernard Rentier from Chercheur 2.0!

Le projet SOHA | (science ouverte haïti afrique)

Le projet SOHA | (science ouverte haïti afrique) | Open-Up Public Science! |

 Ses objectifs sont les suivants :
- Comprendre les obstacles à l’adoption de la science ouverte par les étudiantes et étudiants de 2e et de 3e cycles de ces universités dans différentes disciplines
- Appuyer la création d’outils locaux de formation à la science ouverte par le biais de ressources éducatives libres
- Tester la faisabilité de dépôts institutionnels et de boutiques de sciences dans ces universités
- Créer et animer le RISOHA, Réseau interdisciplinaire d’information et d’échanges sur la science ouverte en Haïti et en Afrique francophone
- Publier une feuille de route en vue de l’adoption généralisée de la science ouverte dans les universités de ces pays.

Via Marie-Laure Malingre
Bernard Rentier's insight:

L'ouverture de la Science, de la connaissance

Marie-Laure Malingre's curator insight, September 11, 2015 8:52 AM

 "La science ouverte comme outil collectif de développement du pouvoir d’agir et de la justice cognitive en Haïti et en Afrique francophone : vers une feuille de route", projet de recherche-action, né de rencontres au sein de l’Association science et bien commun, oeuvrera de janvier 2015 à décembre 2016 pour le développement de la science ouverte en Afrique francophone et Haïti.

Rescooped by Bernard Rentier from Science ouverte - Open science!

Reconciling Law and Ethics with Open Science in Biotechnology Research

Do the current ethical and legal policies applicable to research with genomic databases sufficiently account for the new reality of open biotechnology? How could the current policy framework be improved to facilitate the transition to a more transparent, collaborative research context? Our research will investigate the impact of open biotechnology on research ethics and legal policies with a particular focus placed on informed consent (scope of consent, privacy, data ownership) to large open database projects. We will use a combination of quantitative and qualitative research strategies that will offer complementary applied legal and ethical data on the impact of open biotechnology on the governance of genomic research. The use of a common research methodology in all streams of the project will facilitate comparisons and integration of our results. Our methods will include comparative legal and ethical research (policy review, legal research), questionnaire analysis and focus group interviews. To validate our findings, we will engage stakeholders at the annual meetings of two major organizations involved in research with open databases: The Public Population Project in Genomics (P3G) and the International Cancer Genome Consortium (ICGC).

Via Florence Piron
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Rescooped by Bernard Rentier from Open Science!

Alessandro Vespignani: open data is key to preserve nature of science

Alessandro Vespignani: open data is key to preserve nature of science | Open-Up Public Science! |

Big data changes the way we do science and replicate it

Physicist Alessandro Vespignani is one of the main experts in networks and statistical and numerical simulations. An Italian scientist, he is currently working at the College of Computer and Information Sciences at Northeastern University, Boston, Massachusetts, USA. In this EuroScientist podcast interview, he shares his views on the need to re-think the concepts of replicability and reproducibility. (...) - Euroscientist, by Luca Tancredi Barone, 29 April 2015

Via Tree of Science
Tree of Science's curator insight, August 8, 2015 2:58 PM

While the #bigdata revolution is ongoing, there are new challenges in data reproducibility  #openscience #openresearch #opendata

Nicolas Pettiaux's curator insight, August 12, 2015 5:12 AM

One of the key aspect of science is reproducibility. For me that is "if some affirmation said to be science cannot be claimed, based on an independent study, by another team/person, there is NO scientific process taking place. Hence reproducibility is impossible". In order to allows for reproducibility, there are some necessary conditions : the full process must be described, the data must be accessible too. Either by independent production if possible, or by giving full access to the data first analyzed. And the software used must be fully accessible too, because it contains the details of the process, if any software is used. And we all know that the devil hides in the details.

Alessandro Vespignani, rightfully says "the (scientific) validation happens when you have different teams that work at the same time on the same set of data to recover results.” Hence, the data must often, at least if their production or storage is difficult or expensive, be open if not libre (in the sense of libre access)

 In short, in many (most ?) cases, in 2015, in order to do science, the description of the results (= the paper), the data, the software and the comments by the community must all be open and sharable without barrier. Cost is one such barrier.