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Data Literacy

Data literacy, or the ability to decode, understand, critically interrogate, and create data-informed arguments in a variety of genres is a key element of any 21st-century researcher’s toolkit. The Research Data and Digital Scholarship team can help members of the Penn community gain a more nuanced understanding of ethical and equitable approaches to working with data.

Data Visualization and Analysis Support

Need assistance making meaning out of data? Our librarians offer training in tools and methods for working with qualitative and quantitative data, from cleaning and analysis to mapping and visualization. If you need access to software for statistical analysis (SPSS, SAS, Stata, R), qualitative analysis (NVivo), or geospatial work (ArcGIS, QGIS), we’ve got that too!

Digital Scholarship Tools and Methods

Ever wanted to curate a multimodal digital exhibit, build an annotatable digital edition, or learn how to create interactive maps, timelines, and narratives? Research Data and Digital Scholarship staff are here to help you plan, build, and launch sustainable, accessible, and impactful projects that will help scholars, students, and members of the public engage with your research.

Knowledge Synthesis Service

Librarians from multiple fields, including the health sciences, social sciences, business, communication, and engineering, can provide support for interdisciplinary research activities.

Text and Data Mining Support

Interested in identifying patterns, relationships, and trends through the computational analysis of large amounts of textual or structured data, from newspapers to literature to social media posts? Subject specialists can assist with accessing corpora, while staff on the Research Data and Digital Scholarship Team can train you in techniques such as web scraping, topic modelling, and sentiment analysis.