A New Milestone: 2 Million Annotations and Counting
Hypothesis users have created over two million annotations, taking personal notes and collaborating in research and scholarship, teaching and learning, and journalism and fact-checking.
Category: Technology
Open Therapeutics Integrates Annotation with Hypothesis
Open Therapeutics announces integration of Hypothesis annotation to enable scientists to collaborate freely on therapeutic biotechnology research.
A Powerful Partnership Brings Open Annotation to EPUBs
Announcing the world’s first open-source, standards-based annotation capability for EPUBs, the fastest growing publication format.
10K Annotations in a Single Day
On 14 September, for the first time ever, Hypothesis users created over 10,000 annotations in a single day, as our growth in annotations continued to accelerate.
AGU Launches Hypothesis to Facilitate Peer Review
AGU and eJournalPress integrate open annotation into all AGU journals to to facilitate dialog among reviewers, editors and authors during peer review.
Making Peer Review More Transparent with Open Annotation
Editors, reviewers and scholars are recognizing the potential for open annotation to streamline and improve traditional forms of peer review and create a framework for new review practices.
bioRxiv Selects Hypothesis to Enable Annotation on Preprints
Hypothesis and Cold Spring Harbor Laboratory announce the selection of Hypothesis as the primary annotation mechanism for the bioRxiv preprint service.
MIT Press Integrates Hypothesis Annotation in CogNet
MIT Press adds Hypothesis annotation to their CogNet platform to offer open, standards-based collaboration tools to researchers in the brain and cognitive sciences.
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.
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.