Tutorials and resources
What is digital research?Digital research is the use of computational tools to produce new knowledge. This can be through devising new approaches to old problems, working on a scale never before possible, and by uncovering entirely new research questions. Digital research spans a universe of skills, tools, approaches and disciplines. Staff in the Digital Research Commons currently supports work in these areas:
- Data cleaning, modeling, analysis, and visualization
- Data journalism
- Digital project management and sustainability
- Geographic Information System (GIS) data and mapping options
- Network analysis
- Open access publication and sharing
- Research data management
- Text mining and corpus building
- Topic modeling
Introductory ResourcesThe following resources are by no means exhaustive, but represent a sampling of good work to orient you roughly in the fields that make up digital research.
We highly recommend that one of your first ports of call in learning about digital research be Carnegie Mellon’s new Digital Humanities Literacy Guide.
Likewise, A Digital Project Handbook provides a detailed guide to the essential steps needed to plan and execute a digital project.
Outstanding overviews of the potentials of digital humanities
DH101: Introduction to Digital Humanities by Johanna Drucker
Based on the Introduction to Digital Humanities (DH101) course at UCLA, taught by Johanna Drucker (with David Kim) in 2011 and 2012, this online coursebook (and related collection of resources) is meant to provide introductory materials to digital approaches relevant to a wide range of disciplines. The lessons and tutorials assume no prior knowledge or experience and are meant to introduce fundamental skills and critical issues in digital humanities.
DH101: Introduction to Digital Humanities by Miriam Posner
Digital humanities investigates how digital formats and tools are changing the way we share knowledge in the humanities. This class is an introduction to some of these formats and tools, along with a lot of critical reflection and discussion.
Digital Project Management and Sustainability
Digital Project Management Workshop: How to Keep Your Head above Water during a Digital Project
In this workshop, Dr Kristina Neumann (Department of History, UH College of Liberal Arts and Social Sciences) and Dr Peggy Lindner (Computer Information Systems, UH College of Technology) discuss how to build and manage an evolving digital project and research team, as well as strategies for keeping the lines of communication open between the humanities and STEM.
Open Science Framework (OSF)
OSF is a free, open platform to manage and support your research project and enable collaboration. OSF seamlessly integrates with Google Drive, DropBox, Google Scholar, OrcID, Zotero, and other commonly used research development and sharing. Check out OSF’s guides to learn more or contact us for an instructional session.
GitHub is a free platform for project development and collaboration, specially designed (but not limited to) projects involving software and product development and code sharing. Learn how to launch and grow your project using GitHub’s open source guides or contact us for an instructional session.
Storytelling with Data: A Resource Guide for Data Journalism
This resource serves as a centralized place where journalism students learn basics of data journalism, from locating data sources and understanding data to visualizing and displaying data. This project is undertaken by UH’s Data Services Librarian Wenli Gao and is supported by the American Library Association’s (ALA) Carnegie-Whitney Grant.
Research Data Management
UH Libraries’ Research Data Management Guide
Our complete guide to Research Data Management, including links to resources, topic specific guidance, and templates.
An online tool that provides funder specific guidance and a template structure to format and write a full plan. Sign in using your Cougarnet ID and password.
FAIR Data Principles
In 2016, the “FAIR Guiding Principles for scientific data management and stewardship” were published in Scientific Data. These guidelines improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. To the extent possible, DRC staff promote and adhere to FAIR principles in all activities and we recommend the original paper as a starting point for understanding researcher benefits of FAIR.
Managing Data and Other Materials Workshop
In this workshop, Dr Reid Boehm (Research Data Management Librarian, University of Houston) discusses best practices and practical approaches to managing research data and other digital research materials over the course of developing a digital project. Workshop developed and delivered virtually to research teams involved in UH Libraries’ 2021 cohort of Sponsored Projects program (January 13, 2021).
Metadata Standards Directory
Search by subject to find metadata standards for documentation. Discipline and topic-specific standards may exist.
Research Project File Organization and Naming Scheme
A downloadable template to use in creation of file organization and naming scheme documentation.
Back-up Plan Template
A downloadable template to be used as a guide to create a simple back-up plan for research data.
Getting Started With Metadata Worksheet
A downloadable worksheet to be used as a starting point for creating a metadata schema for digital projects, courtesy Anne Washington, UH Libraries Coordinator of Metadata Services.
Metadata and Documentation for Digital Projects Workshop
A downloadable slide deck of a presentation given by Anne Washington, UH Libraries Coordinator of Metadata Services, outlining standards and best practices for the organization of metadata for digital projects (January 12, 2021).
Data Archiving, Preservation, and Sharing
re3data (Registry of Research Data Repositories)
A searchable registry of research data repositories, designed to assist in finding the best place to archive, share and/or preserve data and related materials.
UH Data Repository Quick Start Guide
Step by step instructions for preparing and depositing data into the UH Data Repository.
10 Questions for Selecting a Data Repository
A list of 10 questions and 8 additional considerations to inform your search for a data repository that is a best fit for your research archiving, sharing, and preservation needs.
Compendia of digital research tools
Alan Liu’s DH Toychest
A curated compendium of guides, tools, and other resources for practical work in the digital humanities by researchers, teachers, and students. Under continuous development, these selections are restricted to free tools or tools with generous trial periods.
Browse curated lists of research tools used for studying texts. Selected by leading scholars in various fields of digital humanities, these lists represent both tried and trusted tools as well as recent advancements that offer exciting new possibilities in their field.
DiRT Directory (archived version)
DiRT Directory is a broad registry of digital research tools for scholarly use. Find and compare resources ranging from content management systems to music OCR, statistical analysis packages to mindmapping software.
Introduction to Data Visualization
Kieran Healey’s Data Visualization: A Practical Introduction
A foundational guide to how to make compelling data visualizations in a clear, sensible, and reproducible way, using R and ggplot2.
Scott Weingart’s introduction to networks
“Demystifying Networks” is the first in an ongoing series of introductory tutorials by Weingart on networks and network analysis. The discussion is “geared toward people with little-to-no background in networks or math, and specifically to digital humanists interested in applying network analysis to their own work.”
Text analysis and topic modeling
Voyant Tools is a free, web-based application for performing text analysis. Voyant can be used to analyze online texts or those uploaded by users.
The Programming Historian provides a suite of free and peer-reviewed tutorials designed for non-specialist and beginning digital humanities practitioners. This lesson introduces topic modeling and its applications. Learn how to install and work with the MALLET natural language processing toolkit.
Matt Jockers’ text mining course
This two-part workshop provides a practical introduction text analysis with a special emphasis on topic modeling. It covers basic text processing, data ingestion, data preparation, and topic modeling. The main computing environment for the workshops is R.
Introduction to XML: The Basics
This resource provides students and entry-level professionals with demonstrations of the basics of learning XML, covering topics such as Web 2.0, AJAX, RSS, Web Services, and managing XML data. This is the first in a series of modular videos.