The Stanford University Libraries (SUL) has introduced new features in its online catalog, SearchWorks, and the Stanford Digital Repository to make it easier for users worldwide to get access to a treasure trove of high resolution digital images. The basis of these new features is the International Image Interoperability Framework, a global initiative co-founded by SUL to support the creation of a global network of broadly accessible images curated and produced by libraries, museums, archives and galleries to support research, teaching and broad public use.
Branner Earth Sciences Library & Map Collections
Data management services
Stanford University Libraries is available to assist you with your data managment needs. Consulting with us can help you better understand how to:
- Prepare your data management plan
- Get access to campus computing resources for storing your data
- Determine the best ways to manage your data
- Help you share your data
- Preserve your data for the long term
Recent Stanford Digital Repository news
The 2016 Summer Olympics are drawing lots of attention to Rio de Janeiro. But while most people are focused on the current games -- as well as current events, politics, and health issues that might impact the games -- others have been spending their time delving into the history of this more than 450 year-old city. And Stanford Libraries' own Claudia Engel couldn't resist dipping her hand in either.
In honor of the useR! 2016 Conference taking place this week, we wanted to outline ways researchers can use the Stanford Digital Repository to power their R visualizations.
The Stanford Digital Repository allow Stanford researchers and affiliates to deposit research data for preservation, access, and discovery. Data deposited in the repository is citable and from which the original content can be downloaded. The data is then made available through open web standard services for consumption. For example, images in the repository are delivered by a IIIF-compatible service, geospatial data are served out as Web Mapping Services (WMS) and Web Feature Services (WFS), and generic files are all served through HTTP.
R users can take advantage of these web services and the data being served out.