por Alia Theressa Mondragón Moreno La ironía del lugar tan marginal que ocupa América Latina en el conocimiento desde la historia global, a pesar de que en el siglo XVI esta región acabó por genuinamente integrar las redes de intercambio globales, no pasa desapercibida por los autores de Miradas globales desde América Latina.

hrough the 2021 partnership between DataCite and IGSN e.V., DataCite services can be used to register International Generic Sample Numbers (IGSN IDs) for material samples. Over the coming months, the blog series ‘IGSN ID Implementation Exemplars’ will showcase sample management workflows developed by the community that incorporate IGSN ID registration. In each post, we offer practical guidance on how to work alongside disciplinary sample experts to register IGSN IDs within DataCite services.

RSpace is an open-source research platform for institutional research data management, maintained by Research Space. It consists of an electronic lab notebook (ELN) and inventory management system that integrate with various tools, enabling you to connect and access various aspects of your existing workflows and build upon them in ways that enhance their FAIRness. A major component of RSpace is the Inventory system—a customisable and mobile-friendly sample management system. In collaboration with DataCite, RSpace has prototyped a seamless integration of IGSN IDs within the Inventory module such that you can naturally draft, edit the sample metadata for, and publish IGSN IDs. RSpace is not only a DataCite Registered Service Provider, it is the first service provider on the program to offer IGSN ID registration services to DataCite Members and Consortium Organizations.

The post IGSN ID Implementation Exemplars: RSpace appeared first on DataCite.

DOI 10.60804/6a1z-rr79 At the recent Make Data Count Summit 2024, we had the opportunity to explore the insights that the Data Citation Corpus provides for institutions and funders. A large-scale open aggregate of data citations, the Data Citation Corpus currently stores 5 million citations collected via persistent identifier metadata and text mining of article content to identify mentions to datasets.

This is a repost of an article that was originally published on the Research on Research Institute website. Comments welcome! It is a truth universally acknowledged that scientists who take greater risks are more likely to make important discoveries.

The podcast audio is AI-generated with Google’s NotebookLM Hey there, fellow tech enthusiasts, policy wonks, and curious minds! Welcome to "Co-Evolution: Tech, Policy, and our Lives," your new favorite corner of the internet where we'll be diving deep into the fascinating, sometimes messy, but always crucial intersection of emerging technology and public policy. I'm Alexander Titus, but I generally just go by Titus.

I’m working through making a contribution to pandoc that adds first-class support for author role annotations using the Contribution Role Taxonomy (CRediT) and also outputs compliant Journal Publishing Tag Set (JATS) XML. This has lead me down a (losing) journey with learning the Haskell programming language, so I thought I would post a short note on a function I tried to understand.

The Open Bioinformatics Foundation (OBF) Event Fellowship program aims to promote diverse participation at events promoting open-source bioinformatics software development and open science practices in the biological research community.

Der BGH stellt klar: Eine Künstliche Intelligenz kann nicht als patentrechtliche Erfinderin gelten. Dennoch kann der Nutzer der KI die von ihr entwickelte Erfindung patentieren lassen. Im Urheberrecht ist eine KI ebenfalls nicht Urheberin eines Werks. Urheberrechte zu beanspruchen ist für den Nutzer dabei deutlich komplexer.

It’s been a few years in the making. With ongoing collaborations with IHTM alumni on projects in Liberia and Seychelles and having initiated the Open and Reproducible Science in R module 4 years ago, we’ve finally been able to formalise our vision of global health partnerships and collaboration.

At work I’ve been using Quarto quite a bit for website and books for work projects.

Last month I published a paper and an R package for summarizing preprints from bioRxiv using a local LLM. I wrote about it here: Llama 3.2 was just released today (announcement). The biggest news is the addition of a multimodal vision model, but I was intrigued by the reasonably good performance of the tiny 3B text model. I used this as an excuse to update the biorecap R package.