For completeness, this post, also based on analyses performed by Daniel Ecer of eLife (<d.ecer@elifesciences.org)> on data he downloaded from Crossref in September 2017 (Ecer, 2017), complements the two preceding posts, and details the openness of references from scholarly publishers other than Elsevier.
Yesterday (November 23rd 2017) I was working with Daniel Ecer of eLife (<d.ecer@elifesciences.org)> to dig some hard facts out of the analyses he undertook on data he downloaded from Crossref in September 2017 (Ecer, 2017). Because of its dominant position in the scholarly publishing world, in this, the second of two related posts, I report the results for references from works published by Elsevier.
Yesterday (November 23rd 2017) I was working with Daniel Ecer of eLife (<d.ecer@elifesciences.org)> to dig some hard facts out of the analyses he undertook on data he downloaded from Crossref in September 2017 (Ecer, 2017). In this, the first of two related posts, I report the results for all publishers . **The analyses show that, of the 33,672,763 journal articles documented in Crossref that have accompanying
Last week I was at WikiCite 2017, a fascinating three day event in Vienna. Wikicite is "a proposal to build a bibliographic database in Wikidata to serve all Wikimedia projects", and is attracting increasing attention from academics, librarians, publishers, data geeks, and others. You can get a sense of the project by following @WikiCite on Twitter.
The title might give it away; this is my 500th blog post, the first having come some eight years ago. Very little online activity nowadays is excluded from measurement and so it is no surprise that this blog and another of my "other" scholarly endeavours, viz publishing in traditional journals, attract such "metrics" or statistics.
In a recent Twitter conversation including David Shorthous and myself (and other poor souls who got dragged in) we discussed how to demonstrate that adopting JSON-LD as a simple linked-data friendly format might help bootstrap the long awaited "biodiversity knowledge graph" (see below for some suggestions for keeping JSON-LD simple). David suggests partnering with "Three small, early adopting projects". I disagree.
A decade ago (OMG, that can't be right, an actual decade ago) I created "iSpecies", a simple little tool to mashup a variety of data from GBIF, NCBI, Yahoo, Wikipedia, and Google Scholar to create a search engine for species.
On Friday I discovered that BHL has started issuing CrossRef DOIs for articles, starting with the journal Revue Suisse de Zoologie . The metadata for these articles comes from BioStor. After a WTF and WWIC moment, I tweeted about this, and something of a Twitter storm (and email storm) ensued: To be clear, I'm very happy that BHL is finally assigning article-level DOIs, and that it is doing this via CrossRef.
I'm going to the TDWG Identifier Workshop this weekend, so I thought I'd jot down a few notes.
I had a long Twitter conversation with Terry Catapano (@catapanoth) today, and as can happen with a distracted stream of tweets, I think we were a little at cross purposes. This blog post is an attempt to unpack the debate.