Empirical research on public sexual harassment relies on categorical (mostly binary) methodological approaches to gender. Ioanna Gouseti suggests shifting from categorical to continuous measurements of sex and gender and utilising interdisciplinary met…
Learning from each other: symbiosis between academics and practitioners in spectrum auction design
In the last three decades, spectrum auctions around the world have demonstrated the successful application of theory to practical regulatory processes to award licences to mobile phone companies to utilise valuable airwaves. In his new open-access book…
Data, data curation, data repository, Data Sharing, datasets, Discoverability, Dryad, meetings, open data, Partnerships, plos, PLOS Pathogens, Publishers, research data
You’re invited: Data sharing with Dryad, opportunities for PLOS authors
A Dryad Open House PLOS authors are invited to join Dryad Data Curators on Wednesday, March 8 to learn about strategies for preserving, sharing, and promoting pathogens research data, in support of open data. Overview: PLOS offers au…
Volunteer Vignette: Transcribing Spanish history
In today’s post, Abby Shelton interviews a By the People volunteer, Claude, who has gone above and beyond! By the People is a crowdsourced transcription program launched in 2018 at the Library of Congress. Volunteer-created transcriptions are used to make digitized collections more accessible and discoverable on loc.gov. You can read our other Volunteer Vignettes on the Signal here and here. Abby: What motivates you to …
Academic communication, Evidence for Policy, Meta Research, Research synthesis, Scientific Consensus
Three Reasons we should place a higher value on Meta-Research
Research is often reported on and assessed in singular, rather than aggregate terms. For example, single papers, datasets and findings. As a debate around the way research syntheses are valued within national research systems, such as the REF, continue…
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Data sharing from Oak, Sherlock, and Google Drive
February 22, 2023
by Amy E. Hodge
Stanford Digital Repository
Those of you working with large datasets know that their size complicates pre…