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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MOPRD: A multidisciplinary open peer review dataset · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.04972/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2212.04972/feed.xml" rel="self" type="application/rss+xml" /><item><title>MOPRD: A multidisciplinary open peer review dataset — mentioned by rjakob</title><link>https://news.ycombinator.com/item?id=44144881</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.04972:44144881</guid><pubDate>Sat, 31 May 2025 15:27:27 GMT</pubDate><description>&lt;p&gt;Thanks for the feedback. Totally agree. It’s a real shame we don’t have more historical peer review data. It would be great if research was fully transparent. We did find a few datasets that offer a starting point: https://arxiv.org/abs/2212.04972 https://arxiv.org/abs/2211.06651 https://arxiv.org/abs/1804.09635 There’s also interesting potential in comparing preprints to their final published versions to reverse-engineer the kinds of changes peer review typically drives. A growing number of journals and publishers, like PLOS, Nature Communications, and BMJ—now publish peer review reports…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.04972/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DL</category></item></channel></rss>
