PM: Data analysis demos at Green Library

Data analysis demos at Green Library, Velma Denning Room, 120F

Friday, October 25, 2019

1pm - 2pm
Qualitative research tools: NVivo, Taguette, Python

with Alesia Montgomery

Do you have “unstructured data” (e.g., government documents, interview transcripts, site videos) that you want to analyze qualitatively? Are you unsure about which tools fit your needs (small or large dataset, solo or team project) and how to use them?

This demo will use data from a multi-city study of urban greening (climate action plans, oral histories, health measures, videos of urban farmers) to illustrate three tools:

Commercial software: NVivo (free to Stanford faculty, students, staff)
Open source software: Taguette (free to all—built using Python and Calibre)
Programming language: Python (free to all)

Come see (1) how to choose the right tool for you (based on your epistemological assumptions, research questions, dataset size/type, project partners), (2) how to get these tools, and (3) how to use these tools to qualitatively analyze your data.  The workshop will include information about Stanford resources for learning these tools.

Alesia Montgomery is the Subject Specialist for Sociology, Psychology, and Qualitative Data at Stanford.  For over two decades, she has been engaged in qualitative research and teaching. Her publications include the forthcoming book, Greening the Black Urban Regime, and articles in the International Journal of Urban & Regional Research, City & Community, Global Networks, and Ethnography.

Text analysis beyond English

with Quinn Dombrowski

In this demo, Quinn will provide examples of text analysis tools that can work for a wide range of languages (including Chinese, Japanese, Russian, and many historical languages), and will describe linguistic considerations to keep in mind when cleaning non-English texts.

Quinn supports digitally-facilitated research in the Division of Literatures, Cultures and Languages. Her background is in medieval Slavic linguistics, and has been involved with digital humanities since 2004. Quinn co-facilitates an international Multilingual DH working group, and the Russian NLP research unit in the DLCL.

3pm - 4pm
Reproducible Research with R

with Claudia Engel

The goal of reproducible research is to improve scholarship by documenting data, code, and methods so results can be replicated and be subjected to scrutiny. R supports reproducible research through the creation of documents that combine content and code. This session will provide an overview of how to generate these documents and review some of the relevant R packages.
Claudia Engel is  Academic Technology Specialist and Lecturer for the Department of Anthropology and member of the Center for Interdisciplinary Digital Research at the Stanford Libraries. She collaborates with Anthropology faculty on innovative technology projects that are part of their research and teaching. She also teaches and co-teaches Anthropology courses.