{"id":1257,"date":"2018-01-30T19:25:40","date_gmt":"2018-01-30T19:25:40","guid":{"rendered":"https:\/\/www.dimensions.ai\/?p=1257"},"modified":"2022-06-10T15:11:49","modified_gmt":"2022-06-10T15:11:49","slug":"the-data-and-platform-are-here-now-for-new-ways-to-analyze-research","status":"publish","type":"post","link":"https:\/\/www.dimensions.ai\/blog\/the-data-and-platform-are-here-now-for-new-ways-to-analyze-research\/","title":{"rendered":"The data and platform are here – now for new ways to analyze research"},"content":{"rendered":"

After months of hard work together with over 100 research institution and funder development partners, we\u2019ve finally launched the Dimensions platform and dataset – a very large new source of scholarly impact data and content. At launch, the system comprises 128M documents with nearly 4 billion connections amongst them: $1.3T current and historical research funding; 34M patents; 89M research articles; and 380k clinical trials. The Dimensions dataset is enriched with links between all these content types, researcher profiles, ORCID data, and GRID geotagging, and the content has been categorised into subject areas using machine learning.<\/span><\/p>\n

We\u2019ve also started calculating some essential indicators – all of them close to the data. While we\u2019ve covered the basics like counts, field normalized citations and H-indexes you\u2019ll notice that we haven\u2019t invented any crazy new metrics (believe me, the temptation was there). That\u2019s because we\u2019re not keen on imposing our own view on the data from the get-go – we want to work with the wider bibliometric research community. Ultimately we\u2019d like to help close the gap between bibliometric research and the application of its results to daily research management tasks or research policy efforts.<\/span><\/p>\n

We\u2019re doing that partly because it makes sense from a product development point of view, partly because we\u2019re building on community initiatives like the excellent I4OC and want to give back and partly because, well, it\u2019s the right way to work in the metrics space. We\u2019re supporters of the Leiden Manifesto and having an open, well-researched dataset helps us live up to the responsibilities outlined there that we have as a provider.<\/span><\/p>\n

We\u2019re already reaching out to a small group of bibliometrics experts to invite them to an informal meeting in April 2018 where we\u2019ll discuss the best ways to bring them on as partners and collaborate – and what the focus of those collaborations should be. <\/span><\/p>\n

We have a couple of places available for new partners and interested parties who would like to join us to discuss questions like the following:<\/span><\/p>\n