After you’ve claimed your ORCID iD, it’s time to add to your ORCID record. Completing information about yourself and your work and education history in the “Biography” section can help people find and recognize you. Publications, datasets, and other research outputs can be added in the “Works” section. There are myriad ways to add works to your ORCID record, and this page provides details on several options.
In November 2020, the Faculty Senate approved a Stanford Open Access Policy that requires all members to obtain an ORCID and the libraries of Stanford University are here to help. We are working together to assist you to claim your ORCID iD, add works to your record, share your record with the world, and link your research directly back to Stanford.
The Lighting the Way project team is happy to announce the launch of the Working Meeting, a series of online meetings and facilitated activities held in April and May 2021. The Working Meeting focuses on convening small groups to develop a topic related to improving archival discovery and delivery into a written contribution of 5-10 pages to be published by the project this summer. Building on the work of the Lighting the Way Forum, the four sessions of the Working Meeting leverages the Liberating Structures framework and other proven techniques from human-centered design to provide a welcome and supportive environment for collaboration.
Our first session was held on Monday, April 19, 2021, and we are pleased to introduce you to the groups, participants, and facilitators that will be collaborating over the next six weeks and beyond. We will share more as our work progresses throughout and after the Working Meeting.
The Music Library welcomes all eligible Stanford community members to make an appointment to visit on Wednesdays and Fridays, 9 am – 4 pm.
To make an appointment:
The ePADD development team is excited to announce the release of version 8!
ePADD is free and open source software developed by Stanford Libraries' Special Collections & University Archives that uses natural language processing and machine learning to support archival appraisal, processing, discovery, and delivery for email of historical or cultural value.
Improved Performance for Large Collections
After more than 25 years of service, Laura Cameron will be retiring from Stanford Libraries on April 1.
By Ben Stone and Rebecca Wingfield