Open Science (OS) is a movement that aims to bring about a change to the academic publishing system. Yet, despite being around for over 30 years, it has had relatively limited success. Traditional publishers still dominate the landscape, article processing charges have made publishing less equitable and the whole system is straining under the pressure of increased numbers of papers and a reduced reviewer pool.

Artificial intelligence is forcing a reckoning not just in our schools, but in how we solve the world’s most complex problems.  When ChatGPT exploded into public consciousness, the immediate fear that rippled through our institutions was singular: the corruption of process.

Our own dev guide states Recognizing the diverse forms of contributions to our mission is very important to us:we like thanking package reviewers and more generally all package contributors, organizations as well as individuals. We have recently extended our efforts to acknowledging the different roles there are when publishing a blog post.

Nuestra propia guía de desarrollo dice Reconocer las diversas formas de contribuciones a nuestra misión es muy importante para rOpenSci:nos gusta dar las gracias a quienes revisan paquetes y en general a todas las personas y organizaciones que contribuyen a los paquetes. Recientemente hemos ampliado nuestros esfuerzos para reconocer las diferentes funciones que existen al publicar un artículo en nuestro blog.

Notre propre guide de développement souligne Reconnaître les diverses formes de contributions à notre mission est très importante pour nous :nous aimons remercier les personnes qui font la révision de paquets et plus généralement tous les contributeur·rice·s aux paquets, les organisations ainsi que les individus. Nous avons récemment étendu nos efforts à la reconnaissance des différents rôles permettant la publication d’un article de blog.

We want to introduce a new, work-in-progress book on spatial data visualization in R using the tmap package. The current version of the book, titled Spatial Data Visualization with tmap: A Practical Guide to Thematic Mapping in R , is available online at https://tmap.geocompx.org/. This blog post provides an overview of the book, its current status, and how you can get involved in its development.

A few days ago I got a sensationally stupid email from one of those websites that most of us probably have a subscription to, but which I will not give the oxygen of publicity by linking to[1]. The subject line was: Your paper “NEURAL SPINE BIFURCATION…” is now an analogy. No; no, it’s not.

Our lab is growing! In our Three Questions series, we’re profiling each of our members and the amazing work they’re doing.

Las trabajadoras del hogar en la caricatura de la prensa de la ciudad de México a mediados del siglo XX. por Daniela Lechuga Herrero “Gata”, “chacha”, “criadita” o “sirvienta” fueron sólo algunas de las denominaciones que se usaron para nombrar a las trabajadoras del hogar en México a inicios del siglo XX. De manera despectiva, […]

If a researcher submits her publication to a journal, the subsequent use of that publication could potentially be problematic if the journal acquires rights to it. These are the copyright options available to researchers for the subsequent use of their publications or research data. In the course of a research process, sooner or later […] The post How to (re)use your own publication appeared first on iRights.info.

Positron allows you to export dplyr/SQL code for actions you take in the data explorer (like sorting and filtering)