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William Ngiam | 严祥全
@williamngiam.github.io

And if this grabbed your attention, you are likely interested in Robert Logie's recent addition: Working Memory, Prospective Memory, and Self-Reported Everyday Memory and Lifestyle: Data from a Large Scale Internet Study with 408,938 Participants williamngiam.github.io/OpenWMData/l...

williamngiam.github.ioLogie et al. (2020) · OpenWMDataWe describe a set of multiple measures of working memory and self-report data on memory, together with lifestyle factors, collected over the internet from 408,938 participants, aged from 8 years to 90
William Ngiam | 严祥全
@williamngiam.github.io

OpenWMData has over 30 tagged datasets already, with Klaus Oberauer (forever setting an example for our field) and leading the way with five datasets so far! I wonder if anyone can top that and claim they are truly making their data findable and reusable...

Brett Buttliere
@brettbuttliere.bsky.social

have you implemented any WM specific variable labels or meta.data? basically, if you standardize your labels and meta data you can combine datasets if they measure the same or similar things. big improvement and could be useful for you journals.sagepub.com/doi/full/10....

journals.sagepub.comAdopting standard variable labels solves many of the problems with sharing and reusing data - Brett Buttliere, 2021Datasets and analysis scripts are becoming more available online, but most datasets are still unclear and difficult to use due to poor meta-data. Adopting stand...
Shichen Jia
@shichen-j.bsky.social

Such a rewarding project! Thanks William for the patient mentorship on GitHub & open data. It even sparked my "1 working memory paper/week" habit—I enjoy reading those amazing research ideas so much! I’ve finally got my energy back after the winter holiday and am ready to dive back in! 🧠✨