Those of you working with large datasets know that their size complicates pretty much everything you do, from opening them to analyzing them to sharing them. That's why the team at the Stanford Digital Repository (SDR) has recently devised a better, smoother, faster way for you to move content you want to share from Oak, Sherlock, or Stanford's Google Drive to the SDR using the file transfer service Globus.
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!
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:
Hello everyone! :D I go by Hana or Connor Yankowitz (they/them), and I am a fifth-year Stanford undergrad studying queer art, culture, and history in the Feminist, Gender, and Sexuality Studies Program (aka FGSS; formerly known as Feminist Studies). I’m also currently a historical research intern for FGSS at the University Archives, unearthing the history of my favorite interdisciplinary academic program as well as its predecessors in gender and sexuality studies. ...
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!