Open access = freely available to access and share online
Open Educational Resources = freely available to access and share online PLUS licensing/permissions for use
In both cases, author(s)/creator(s) retain copyright.
Search the directory for open access journals and/or articles.
Search the metafinder for open educational resources across a variety of OER-specific and other collections.
Point to Explore the Libraries in LibreTexts and view a discipline to view course and textbook content created by other institutions of higher education.
There is an abundance of open-access, publicly available datasets online from a variety of disciplines and including a range of data types. But the quality of data, and the quality of documentation required for meaningful reuse, varies.
Two search strategies:
1. Find an established data repository, and search for a dataset by topic or other attributes.
2. Find a published research article and locate the original dataset used. (Many peer-reviewed professional journals require that data must be shared with the scientific community as a condition of publication. Some journals also curate a list of recommended data repositories.)
SEARCHABLE LISTS OF DATABASES
A global registry of research data repositories from different academic disciplines.
A curated and annotated list of databases, with data policies and metadata standards.
A curated list that includes both generalist repositories and specialized, discipline-specific repositories. The listed repositories meet the Nature Journals requirements for data access, preservation and stability.
Examples of generalist data repositories
Other data repositories
(Note: Bucknell is an ICPSR member institution. Link to Bucknell when creating your user account to access membership benefits.)
"Moving Beyond the Title: Evaluating The Data You Find": An ICPSR video tutorial on finding and evaluating datasets to answer a research question (July 2020).
Kaggle maintains a collection of publicly available datasets and data-analysis code on a range of topics, with simple metrics of data and documentation quality, for use in data science training and machine learning projects.
Kaggle also hosts real-life data-analysis tasks and competitions around the datasets.
Users have access to a customizable Jupyter Notebooks environment.
A global online community around data science and machine learning, from students to experts.
U.S. government's open data
Home of U.S. government's open data: https://www.data.gov/
Examples of qualitative and text-based data repositories
The Qualitative Data Repository (QDR) is a dedicated archive for storing and sharing digital data (and accompanying documentation) generated or collected through qualitative and multi-method research in the social sciences.
Provides leadership and training in—and works to develop and publicize common standards and practices for—managing, archiving, sharing, reusing, and citing qualitative data.
Contains more than one billion words of text (25+ million words each year 1990-2019) from eight genres: spoken, fiction, popular magazines, newspapers, academic texts, as well as TV and movies subtitles, blogs, and other web pages.
Three main ways to search the corpus (including comparisons between genres and years):
Search by individual word
Search for phrases and strings
Perseus Digital Library (Perseus 4.0) is a comprehensive and constantly expanded digital library, with a mission to create and make accessible the full record of humanity, including linguistic sources, physical artifacts, and historical spaces.
The flagship collection covers the history, literature and culture of the Greco-Roman world, and classical Greek and Latin.
Other collections include Arabic, Germanic, 19th-Century American, and Renaissance materials.
In 2017, the Metropolitan Museum of Art (The Met) made all images of public-domain works in its collection available under the Creative Commons Zero (CC0) license, which allows unrestricted use, sharing, and remixing. The change reflects The Met's commitment to increasing access to the collection in a digital age.
The Cleveland Museum of Art became an Open Access institution in 2019. All the images of public-domain works in the collection are available under the Creative Commons Zero (CC0) license, and can be used, shared, and remixed without restrictions. In addition, portions of collections information (metadata) for more than 61,000 artworks, both in the public domain and those works with copyright or other restrictions, are now available.
Director, Research Services and Information Literacy
Office: Bertrand 109