*Reminder:* There are only a few more days to nominate or self-nominate a resource for DH Awards 2025! Do so before the weekend! ==== There are translations of this page available in Chinese (Traditional and Simplified), French, Japanese, Portuguese and Spanish (from the website). The annual open *DH Awards 2025* is now accepting nominations! http://dhawards.org/dhawards2025/nominations/ (or if the fact this is http is alarming, you can go straight to the nominations form at https://forms.gle/zRbPaw8hoBEojBgt6 ) Please nominate any Digital Humanities resource in any language that you feel deserves to win in any of this year’s categories. The open DH Awards are openly nominated by the community and openly voted for by the public as a DH awareness activity. Although the working language of DH Awards is English, nominations may be for any resource in any language. Awards are not specific to geography, language, conference, organization or field of humanities. There are no financial prizes, just the honour of having won and an icon for your website. Nominations will be open until *2026-02-27*. Voting will take place shortly after. You only need to nominate something once! Self-nominations or nominating other’s resources are both fine! *Please note that the nominations must be for projects/resources/sites that were launched/finished/update/created in 2025*. The categories for the open *DH Awards 2025* are: - *BEST USE OF DH FOR FUN* (e.g. something that uses DH for purposes of enjoyment) - *BEST DH DATA VISUALIZATION* (e.g. a visualization of DH data) - *BEST EXPLORATION OF DH FAILURE/LIMITATIONS* (e.g. a report on why a project failed, or problems with DH) - *BEST DH SHORT PUBLICATION* (e.g. blog, article, video, on DH) - *BEST DH TOOL OR SUITE OF TOOLS* (e.g. something used to build a DH resource) - *BEST DH DATASET OR MODEL* (e.g. a corpus of texts, table of data, model, or similar used for DH research) - *BEST DH TRAINING MATERIALS* (e.g. talks, slides, exercises, videos or how-to guides in any form) - *BEST DH RESOURCE* (e.g. digital scholarly edition, archive, or repository for DH) Many Thanks, James -- Dr James Cummings, Reader in Digital Textual Studies and Late Medieval Literature, School of English Literature, Language, and Linguistics, Newcastle University, UK