Here at the Stanford Libraries, we are a big fan of Who’s on First. While the comedy routine by Abbott and Costello is pretty good, here we are talking about the gazetteer project Who’s on First created by the team at Mapzen. The Who’s on First (WoF) gazetteer is a “big list of places” comprising one of the largest and richest compilations of Open and permissively licensed geospatial data.
Blog topic: Digital library architecture
Over the past two months a team at Stanford Libraries have been working to add new features and resources to our geospatial discovery portal EarthWorks. EarthWorks is the place for users to find and access geospatial data at Stanford. With the recent updates, the amount of data users can find has more than doubled with access to over 70,000 resources from more than 20 institutions. Users can now discover scanned maps alongside Geographic Information Systems (GIS) data, index maps, census data and research data.
Read about how the University Archives is using From the Page technology to transcribe handwritten letters and round trip metadata into the Stanford Digital Repository usng IIIF: http://content.fromthepage.com/stanford-university-archives/
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.
About this series
Over the next few weeks I will post a series of brief step-by-step "how-to" tutorials on making use of digital resources from the David Rumsey Map Center and Collection, that I presented in my "Hacking Rumsey" talk, presented at the opening events for The David Rumsey Map Center, at Stanford University Library.
We're starting small, with the easiest tools (like the David Rumsey Map Collection MapTab Chrome Browser Plug-in, which I covered in a previous post) that appeal to the most people, first. Eventually we will work our way up through more complex use of the collections and tools available from The Stanford University Library.
The Stanford University Libaries is one of the founding partners of the International Image Interoperability Framework (http://iiif.io), which aims to enable broad access to cultural heritage images on the web. This exciting initiative is in its fifth year and is beginning to have an impact on the way digital images are used to support research and teaching.
by Stu Snydman & Gary Geisler
The Stanford University Libraries (SUL) have a rich and diverse collection of digital content. Users can discover collections and content from the Stanford Digital Repository through the library website, library catalog (SearchWorks), and persistent citation (PURL) pages. SUL also develops robust, custom-built websites for selected collections (see Parker on the Web and the French Revolution Digital Archive) that provide a rich discovery environment and a range of features that enable users to more effectively work with the collection items. But these sites require significant investment in time and development resources to produce and maintain, limiting the number and variety SUL can support.
The International Image Interoperability Framework (http://lib.stanford.edu/iiif) is an initiative driven by several major research and national libraries to enable the rich and robust delivery of digital images through common interfaces, and to spur the development of open source and commercial software solutions in this space.
The IIIF Working Group invites comment and feedback on a proposed API for the the delivery of images via a standard http request. The full specification can be found at:
The IIIF Image API specifies a web service that returns an image in response to a standard http or https request. The URL can specify the region, size, rotation, quality characteristics and format of the requested image. A URL can also be constructed to request basic technical information about the image to support client applications.