Data Services

Learn more about our services to help you manage,
share, and protect your data.

 

Schedule a Consultation

The CMU Libraries' Research Data Services team is comprised of experts in all areas of data. We build fluid teams of expertise around complex problems and provide innovative solutions for researchers engaging with data by offering support, training and consultations.

 

Research Data Management

What services do the Libraries offer to support research data management for researchers, faculty, and students across all disciplines at CMU? What are recommended practices for data management planning? How do you create robust metadata? The Libraries provide a number of resources and services that support the use, preparation, management, curation, and preservation of research data. We apply recommended practices for managing data and provide services for any stage of the research process.

Learn More in the Research Data Management Research Guide. | Contact Hannah Gunderman

 

Data Visualization

Creating visuals (graphs, charts, interactive infographics, etc.) is an essential part of working with data. CMU Libraries offers a number of ways to make the most out of your making graphs, workshops on recommended practices and data visualization tools, consultations with students or faculty, as well as guest lectures in courses around visual analyses.

Related Links:

Learn more in the Data Visualization Research Guide. | Contact Emma Slayton

 

KiltHub

KiltHub is a comprehensive institutional repository platform, provided by the University Libraries and hosted on figshare, where Carnegie Mellon University researchers and their collaborators can share the scholarly outputs and research data produced in the course of their research. KiltHub curates, collects, preserves, and provides open access to this material as part of the Libraries' commitment to open scholarship and collaboration.

Learn more in the KiltHub Research Guide. | Contact Kathleen Behrman

 

Digital Humanities

CMU Libraries is dedicated to advancing research and teaching involving humanities data sources in digital humanities and humanities analytics. We offer a range of disciplinary foci and provide consultations on a variety of data-focused topics in digital humanities research, including data curation and preservation, data modeling, data visualization, data science, GIS data modeling and visualization, machine learning, and text, network, and temporal analysis.

Learn more in the Digital Humanities Research Guide. | Contact Rikk Mulligan

 

Text & Data Mining

Text and data mining (TDM) are becoming increasingly popular ways to conduct research. They entail using automated tools to process large volumes of digital content to identify and select relevant information and discover previously unknown patterns or connections. CMU Libraries offers support for text and data mining in all academic disciplines through providing access to TDM databases such as the ProQuest TDM Studio, consultations on recommended practices for TDM, and educational workshops.

Learn more in the Text and Data Mining Research Guide. | Contact Huajin Wang

 

Open Science & Data Collaborations

OSDC is a Libraries program supporting collaborative, transparent, openly accessible, and reproducible research across all disciplines. We recognize that automating research workflows and documenting code and datasets is essential to making research more efficient, interdisciplinary, and reusable. This program provides infrastructure and services for open research at CMU through digital tools, training opportunities for research tools and practices, collaboration opportunities, special events and advocacy, and a team of experts available as research consultants and collaborators.

Learn more on the Open Science and Data Collaborations Services Page. | Contact Melanie Gainey

 

Tartan Datascapes

The Libraries' "Tartan Datascapes" blog, published monthly, highlights the wide variety of data engagement across the CMU campus, from data resources offered by CMU Libraries to interviews with faculty, staff, and student researchers working with unique forms of data. If you are engaging with data in any form and would like us to feature your work, please fill out our Submission Form.

 

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