Who Are We?
We are a team of faculty and staff in the University Libraries and the Dietrich College of Humanities and Social Sciences dedicated to advancing research and teaching involving digital tools, methods, and sources. At CMU digital scholarship has grown from humanities-oriented technology projects, to include data management and curation, digital pedagogy, open science, interactive media, and many other possibilities.
Our core team cover a range of disciplinary foci and provide consultations on a variety digital tools and approaches, including: digital humanities in general, open access publishing, data curation and preservation, data modeling, data visualization, data science, GIS data modeling and visualization, machine learning, project management, text encoding, text mining, usability, and text, network, and temporal analysis.
We build websites, databases, and data analysis pipelines, and run research projects (Create); educate and involve the CMU community in digital scholarship (Engage); and offer resources to help students, faculty, and staff in achieving digital research goals (Support).
Many of our team follow the model of reference librarian consultations. In doing so we welcome students, faculty, and staff to contact us to discuss research questions or tools and digital publishing opportunities.
We encourage you to contact us individually or email our group using dsharp @ andrew.cmu.edu to schedule a virtual consultation. If your interest is in working with datasets and data visualization, members of the DataCoLAB should be emailed using: dataCoLAB @ andrew.cmu.edu.
During consultations we can:
- show you how to work with experimental digital methods;
- begin connecting you to resources for self-teaching or the local networks of DH and DS practitioners at CMU, the University of Pittsburgh;
- help you brainstorm, scope, and begin planning a project;
- evaluate and offer advice on the display of visual content, such as presentations, poster designs, and web design;
- find, create, and work with data, including data management, data mining & data modeling;
- learn about the availability of tools and platforms on campus, such as ArcGIS (GIS data), Tableau (data visualization), and others;
- provide feedback on your dataset, data management plan, project design, and code.
- consult on digital humanities platforms (Omeka, Scalar, Mukutru, for example) and digital publishing (Janeway Open Journal platform and WordPress).
We will also do our best to refer you to support and expertise around CMU including other Library consultants and the Eberly Center.
See more about the dSHARP group here: http://dsharp.library.cmu.edu/about/
dSHARP and the dataCoLAb will offer Virtual Consultations for the remainder of the Spring 2020 semester. We encourage you to contact us individually or email our group using dsharp @ andrew.cmu.edu to schedule a virtual consultation. If your interest is in working with datasets and data visualization, members of the DataCoLAB should be emailed using: dataCoLAB @ andrew.cmu.edu. During consultations we can: show you how to […]
CMU Libraries is thrilled to be hosting a two-day Data Carpentries (R for Social Sciences) workshop on March 12th-13th! This event is an example-driven two-day workshop on spreadsheet organization, OpenRefine, SQL, and R. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another and to try applying what they […]
Drawing the Lines: How redistricting reform will improve Pennsylvania and restore citizen’s trust in government.
This event is not part of the CMU Libraries Gerrymandering Series but has a related focus on redistricting! At the University of Pittsburgh: Drawing the Lines: How redistricting reform will improve Pennsylvania and restore citizen’s trust in government. January 30, 2020 12:00 p.m.- 1:00 p.m. The University Club Ballroom B (123 University Place, Pgh. PA 15260) Part of […]
The Libraries Gerrymandering series continues this week. Please join us for Understanding Census Data with the Western Pennsylvania Regional Data Center, January 21st (12pm to 1pm). To register for other upcoming events in the Gerrymandering Series, please use the links below Network Analysis with Scott Weingart, February 10th (12pm to 1pm) R for Text Analysis with Matt Lincoln, Febuary 24th (12pm to […]
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