User:Charles Matthews/Facto Post/Issue 16 – 30 September 2018

Facto Post – Issue 16 – 30 September 2018

Facto Post – Issue 16 – 30 September 2018

The Editor is Charles Matthews, for ContentMine. Please leave feedback for him, on his User talk page.

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The science publishing landscape

In an ideal world ... no, bear with your editor for just a minute ... there would be a format for scientific publishing online that was as much a standard as SI units are for the content. Likewise cataloguing publications would not be onerous, because part of the process would be to generate uniform metadata. Without claiming it could be the mythical free lunch, it might be reasonably be argued that sandwiches can be packaged much alike and have barcodes, whatever the fillings.

The best on offer, to stretch the metaphor, is the meal kit option, in the form of XML. Where scientific papers are delivered as XML downloads, you get all the ingredients ready to cook. But have to prepare the actual meal of slow food yourself. See Scholarly HTML for a recent pass at heading off XML with HTML, in other words in the native language of the Web.

The argument from real life is a traditional mixture of frictional forces, vested interests, and the classic irony of the principle of unripe time. On the other hand, discoverability actually diminishes with the prolific progress of science publishing. No, it really doesn't scale. Wikimedia as movement can do something in such cases. We know from open access, we grok the Web, we have our own horse in the HTML race, we have Wikidata and WikiJournal, and we have the chops to act.

Links

ImageGrid SPARQL query for the Art+Feminism focus list on Wikidata. Run and then scroll ...
The TABernacle tool for Wikidata editing, by Magnus Manske, has been upgraded. Demo with the ScienceSource focus list and main subjects: with a WiDar login you can edit directly in the table cells.
Enslaved: People of the Historic Slave Trade, Michigan State University project for a linked open data platform. Quote: "Disambiguating and merging individuals across multiple datasets is nearly impossible given their current, siloed nature."
As the Linked Data for Production (LD4P) project finishes its initial two-year cycle and moves into LD4P2, a list of its BIBFRAME and other RDF tools.
Machine Learning with and for Semantic Web Knowledge Graphs, detailed slide pack by Heiko Paulheim, University of Mannheim.
In Europe, Scientists Need to Share Their Research for Free if They Want Government Funding, Futurism, by Kristin House, 5 September 2018.

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