Scholarly Communications

Working Groups 

The purpose of these working groups is to study and learn technologies in an ongoing collaborative environment. If you are interested in moving beyond familiarity with digital scholarship to mastery of a particular technique, these working groups are for you! Newcomers are always welcome. If you haven’t taken part until now, we’ll help you catch up. Questions? Contact the leaders of the various groups below or email Clifford Anderson, Director for Scholarly Communications:


Semantic Web Working Group

Mondays, 12:00pm-1:00pm,  800FA, Central Library

Using the architecture of the World Wide Web, (such as URI's and http,) the Semantic Web supports a common framework allowing data to be shared and reused across boundaries both technical and social. The Semantic Web is built on the RDF model which  allows for standardized data interchange on the web. RDF consists of  triples comprised of a subject, predicate and object and with the SPARQL query language we can then ask questions, manipulate and transform RDF encoded data.  For more information, please visit the working group website or contact



Open Source GIS Working Group

Thursdays, 12:00pm-1:00pm, 800FA, Central Library

In this working group we look at various open source Geographic Information Systems (GIS) tools. Some of these tools include: PosgreSQL/PostGIS, Mapbox/Leaflet, Geoserver, and QGIS. Many of these programs are used to create, store, edit, serve out, and analyze geographic data. All of these tools present an alternative to costly GIS software, such as ArcGIS. In this working group, we’ll take turns teaching each other the basics of how to use these tools and transfer skills across disciplines. Working group members can also use this time to present their own spatial problems with the group. The Open Source GIS working group is informal and open to any that wish to attend.  For more information, please visit the working group website or contact



XQuery Working Group

Fridays, 3:00pm-4:30pm, 800FA, Central Library

XQuery is a programming language that works seamlessly with XML and other forms of data. XQuery is a great language to learn if you are working with semi-structured data of any sort—literary texts encoded in TEI, bibliographic data in JSON, or even tabular data you’re currently keeping in Excel. By learning XQuery, you’ll learn how to explore hidden patterns in your data and to visualize them for others. We’ll also teach you how to connect and combine different sources of data, creating mashups and other forms of emergent media. Finally, we’ll also show you how to develop a research database of documents using the open source BaseX database. The XQuery Working Group is informal and always open to newcomers. For more information, please visit the working group website or contact