The Taube Archive of the International Military Tribunal at Nuremberg, 1945-1946 (IMT) is now available as the result of a partnership between the Stanford Libraries and the Stanford Center for Human Rights and International Justice. This online archive makes available to the global audience digitized versions of the original, unpublished, and complete official record of the IMT.
And here we are at this final post in the "Data We Love" series for #LoveDataStanford during #LoveData23 Week! For all the data curators out there, you will appreciate this example of well-prepared data. Take note, future data depositors! Show your love for your data by taking care to prepare for its use by others!
Today we celebrate transformative data in this penultimate post in the "Data We Love" series for #LoveDataStanford during #LoveData23 Week! Head's up: if the phrase "collections as data" means anything to you, this one should be especially compelling, but we all can learn from this exemplary approach to transforming data in the interest of past, present and future!
This is international Love Data Week, an annual celebration of all things data that highlights topics, opportunities, and services relevant to data in research.
Check out this quick (1:37) video below to learn about new features for the Stanford Digital Repository (SDR) that make it easier than ever for you to share your data with others.
Today we celebrate accessible data, the third post in the "Data We Love" series for #LoveDataStanford during #LoveData23 Week!
Welcome to the second post in our “Data We Love” blog series!
In honor of #LoveDataStanford during #LoveData23, every day this week we are highlighting data in the Stanford Digital Repository that stands out -- and deserves a heart-filled shoutout -- for being especially loveable!
Today we draw your attention to an incredible project focused on producing innovative data. Take a look:
Welcome to the “Data We Love” blog series! In honor of #LoveDataStanford during Love Data Week 2023, we are highlighting five data sets in the Stanford Digital Repository (SDR) that stand out and deserve a shoutout for being especially loveable!