OpenWMData is a hub of publicly available datasets from working memory experiments. To browse the database, click on the links above or use the search bar at the top-right of this page.
What is the goal of OpenWMData?
The goal of this resource is to make it easier for working memory researchers to find and use publicly available working memory datasets. This data collection can be used to test secondary hypotheses, benchmark or cross-validate existing models; calculate effect sizes for power analysis; and estimate meta-analytic effects across studies.
Each dataset has been tagged with the following metadata:
- title of the associated publication
- authors of the dataset
- journal of the associated publication
- publication URL
- dataset URL
- task URL (if exists)
- analysis URL (if exists)
- experiment task
- stimulus
- data level (such as trial-level or subject-level)
- data format
- data dictionary (available or not)
What is the scope of OpenWMData?
The scope of this project is to catalogue all open datasets involving cognitive tasks (e.g., Stroop, delay discounting, 2-arm bandits). The inclusion criteria for datasets are:- The data were collected from human participants.
- The data involve at least one task measuring working memory.
- The data have met a standard of organisation and usability.
Who is involved in OpenWMData?
This project is currently hosted and maintained by Dr William Ngiam (School of Psychology, Adelaide University).The following early-career researchers have contributed to curating datasets:
- Candice Koolhaas, University of Massachusetts
- Yong Hoon Chung, Dartmouth University
- Shichen Jia, University of Amsterdam
- Marlene Rosner, University of Birmingham