Les archives ouvertes
12 OCTOBRE 2020
CERIS - INSTITUT PASTEUR
Une archive ouverte est un réservoir numérique contenant des documents issus de la recherche scientifique et permettant à tous d’y accéder gratuitement et sans contraintes. Le dépôt dans une archive ouverte est l’une des modalités de mise en œuvre du libre accès aux publications scientifiques, couramment désignée par l’expression “voie verte” dans le monde de la recherche.
"Open Data Excuse" Bingo
We might want to use it in a paper People may misinterpret the data Thieves will use it There's no API
I don't mind, but someone else might Lawyers want a custom License It's too complicated We will get too many enquiries
It's too big Terrorists will use it Poor Quality There's already a project to...
What if we want to sell it later It's not very interesting Data Protection We'll get spam
For open data teams; print out a copy and put it on your office wall. Cross out each excuse people give you. There are no prizes, but you can tweet "bingo! #openDataExcuses" if you think it might make you feel better
Generate your own bingo grids at http://data.dev8d.org/devbingo/
For what reasons do academics follow one another on Twitter? Robert Jäschke, Stephanie B. Linek and Christian P. Hoffmann analysed the Twitter activity of computer scientists and found that while the quality of information provided by a Twitter account is a key motive for following academic colleagues, there is also evidence of a career planning motive. As well as there being reciprocal following between users of the same academic status (except, remarkably, between PhD researchers), a form of strategic politeness can be observed whereby users follow those of higher academic status without necessarily being followed back. The emerging academic public sphere facilitated by Twitter is largely shaped by dynamics and hierarchies all too familiar to researchers struggling to plot their careers in academia.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Auf der Plattform handbuch.io des Open Science Lab der TIB Hannover schrieben vor und während der CeBIT 2014 in einem Book Sprint 15 eingeladene Expertinnen und Experten, viele davon aus dem Leibniz Forschungsverbund Science 2.0, das Handbuch CoScience - Gemeinsam forschen und publizieren mit dem Netz.
COS collaborates with and produces tools for scientists, journals and societies, and developers. Below, explore ways to use our free services or collaborate on promoting open science.
S. Vahdati, N. Arndt, S. Auer, and C. Lange. Proceedings of 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW'2016), 10024, Heidelberg, Springer Verlag, (November 2016)
S. Vahdati, N. Arndt, S. Auer, and C. Lange. Proceedings of 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW'2016), (November 2016)