Annotating All Knowledge, FAIRly
Join the conversation connecting FAIR data to digital annotation at the second annual Annotating All Knowledge Coalition face-to-face meeting, co-located in Berlin with FORCE2017.
Category: Research
Fund: Scaling Up Content Analysis, Complete
With support from the Hypothesis Open Annotation Fund, the TextThresher team has developed software that allows researchers to enlist citizen scientists in the complex annotation of large bodies of text.
Federating Annotations Using Digital Object Identifiers (DOIs)
Scientific journals come and go, but the scientific record is permanent, and its annotation layer should be too. New Hypothesis support for DOIs (digital object identifiers) helps ensure a robust connection between articles and annotations.
Dive Into Open Annotation at FORCE11 2017 Summer Workshops
Take a deep dive into open annotation 31 July–4 August, 2017: two intensive courses at the FORCE11 Scholarly Communications Summer Institute.
Qualitative Data Repository Teams with Hypothesis to Develop Annotation for Transparent Inquiry (ATI)
Originally published 12 May 2017 on the QDR blog by Sebastian Karcher. Scholars are increasingly being called on – by journal editors, funders, and each other – to “show their […]
The GO FAIR Initiative
Originally posted at Pundit by Francesca Di Donato The diffusion and the public endorsement of data FAIRness has been rapid. The FAIR Data Principles were were published in late 2014 and early 2015. […]
HighWire and Hypothesis Partner to Bring Annotation to Publishers
Hypothesis and HighWire Press are announcing a partnership to bring a high quality, open annotation capability to over 3,000 journals, books, reference works, and proceedings published on HighWire’s JCore platform.
Hypothesis for Scientific Research
Hypothesis is enjoying robust use in the sciences: in STEM education (e.g., Science in the Classroom), as a tool for scientists to critique reporting of science in the popular press (e.g., Climate Feedback), for journal clubs and by individual researchers engaging in public or private group discussions on scientific papers. Some of these uses are conversational, as Hypothesis originally envisioned: people ask questions, get answers, make comments. Other annotations are more formal and authoritative; experts extract structured knowledge from the literature, annotate gene sequences with biological information or supply clarifying information to published works.
Annotating TV News
Annotating video in the Internet Archive’s TV News Archive, a remarkable resource that provides video clips of TV news shows since 2009.
Opening Meta
Yesterday, the scholarly communication + AI startup Meta signed an agreement to be acquired by the Chan Zuckerberg Initiative (CZI). Aside from the initial news a few weeks ago and Joe Esposito’s article in the Scholarly Kitchen, I’ve seen few people remark on it.
But it’s a big deal.
A serious piece of scholarly infrastructure is being made open, free and effectively non-profit. Meta has built a cutting edge system to mine scholarly papers new and old, and allow the data to be employed in diverse ways–predicting discoveries before they’re made, projecting the future impact of papers just hours old, and unlocking the potential for innumerable applications applying computation at scale across scientific literature. In what must have taken extraordinary patience, persistence and a lot of finesse, they managed to secure access to some of the most strategic closed content in the scholarly world.