User talk:LucyCrompton-Reid (WMUK)

May 2017
Hello, I'm SummerPhDv2.0. I noticed that you made a change to an article, Tomboy, but you didn't provide a reliable source. It's been removed and archived in the page history for now, but if you'd like to include a citation and re-add it, please do so! If you need guidance on referencing, please see the referencing for beginners tutorial, or if you think I made a mistake, you can leave me a message on my talk page. Thank you. Sum mer PhD v2.0 16:48, 16 May 2017 (UTC)

Facto Post – Issue 3 – 11 August 2017
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 * Facto Post – Issue 3 – 11 August 2017

 

Wikimania report
Interviewed by Facto Post at the hackathon, Lydia Pintscher of Wikidata said that the most significant recent development is that Wikidata now accounts for one third of Wikimedia edits. And the essential growth of human editing. Impressive development work on Internet-in-a-Box featured in the WikiMedFoundation annual conference on Thursday. Hardware is Raspberry Pi, running Linux and the Kiwix browser. It can operate as a wifi hotspot and support a local intranet in parts of the world lacking phone signal. The medical use case is for those delivering care, who have smartphones but have to function in clinics in just such areas with few reference resources. Wikipedia medical content can be served to their phones, and power supplied by standard lithium battery packages.

Yesterday Katherine Maher unveiled the draft Wikimedia 2030 strategy, featuring a picturesque metaphor, "roads, bridges and villages". Here "bridges" could do with illustration. Perhaps it stands for engineering round or over the obstacles to progress down the obvious highways. Internet-in-a-Box would then do fine as an example.

"Bridging the gap" explains a take on that same metaphor, with its human component. If you are at Wikimania, come talk to WikiFactMine at its stall in the Community Village, just by the 3D-printed display for Bassel Khartabil; come hear talk at 3 pm today in Drummond West, Level 3.

Link

 * Plaudit for the Medical Wikipedia app, content that is loaded into Internet-In-A-Box with other material, such as per-country documentation.

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Facto Post – Issue 4 – 18 September 2017
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 * Facto Post – Issue 4 – 18 September 2017

 

Editorial: Conservation data
The IUCN Red List update of 14 September led with a threat to North American ash trees. The International Union for Conservation of Nature produces authoritative species listings that are peer-reviewed. Examples used as metonyms for loss of species and biodiversity, and |theoretical discussion of extinction rates, are the usual topics covered in the media to inform us about this area. But actual data matters. Clearly, conservation work depends on decisions about what should be done, and where. While animals, particularly mammals, are photogenic, species numbers run into millions. Plant species lie at the base of typical land-based food chains, and vegetation is key to the habitats of most animals.

ContentMine dictionaries, for example as tabulated at d:Wikidata:WikiFactMine/Dictionary list, enable detailed control of queries about endangered species, in their taxonomic context. To target conservation measures properly, species listings running into the thousands are not what is needed: range maps showing current distribution are. Between the will to act, and effective steps taken, the services of data handling are required. There is now no reason at all why Wikidata should not take up the burden.

Links

 * What Makes a Good Collaborative Knowledge Graph: Group Composition and Quality in Wikidata (paywall)
 * Wikimedia and the free knowledge ecosystem by Maria Cruz
 * Another Year Again: 2017 this time (long), blog by Joe Wass of CrossRef
 * Attack of the 50 Foot Blockchain, blog by User:David Gerard
 * WikiTribune in beta

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Draft:Inua Ellams concern
Hi there, I'm HasteurBot. I just wanted to let you know that Draft:Inua Ellams, a page you created, has not been edited in 5 months. The Articles for Creation space is not an indefinite storage location for content that is not appropriate for articlespace.

If your submission is not edited soon, it could be nominated for deletion. If you would like to attempt to save it, you will need to improve it.

You may request Userfication of the content if it meets requirements.

If the deletion has already occured, instructions on how you may be able to retrieve it are available at WP:REFUND/G13.

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Facto Post – Issue 5 – 17 October 2017
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 * Facto Post – Issue 5 – 17 October 2017

 

Editorial: Annotations
Annotation is nothing new. The glossators of medieval Europe annotated between the lines, or in the margins of legal manuscripts of texts going back to Roman times, and created a new discipline. In the form of web annotation, the idea is back, with texts being marked up inline, or with a stand-off system. Where could it lead? ContentMine operates in the field of text and data mining (TDM), where annotation, simply put, can add value to mined text. It now sees annotation as a possible advance in semi-automation, the use of human judgement assisted by bot editing, which now plays a large part in Wikidata tools. While a human judgement call of yes/no, on the addition of a statement to Wikidata, is usually taken as decisive, it need not be. The human assent may be passed into an annotation system, and stored: this idea is standard on Wikisource, for example, where text is considered "validated" only when two different accounts have stated that the proof-reading is correct. A typical application would be to require more than one person to agree that what is said in the reference translates correctly into the formal Wikidata statement. Rejections are also potentially useful to record, for machine learning.

As a contribution to data integrity on Wikidata, annotation has much to offer. Some "hard cases" on importing data are much more difficult than average. There are for example biographical puzzles: whether person A in one context is really identical with person B, of the same name, in another context. In science, clinical medicine require special attention to sourcing (WP:MEDRS), and is challenging in terms of connecting findings with the methodology employed. Currently decisions in areas such as these, on Wikipedia and Wikidata, are often made ad hoc. In particular there may be no audit trail for those who want to check what is decided.

Annotations are subject to a World Wide Web Consortium standard, and behind the terminology constitute a simple JSON data structure. What WikiFactMine proposes to do with them is to implement the MEDRS guideline, as a formal algorithm, on bibliographical and methodological data. The structure will integrate with those inputs the human decisions on the interpretation of scientific papers that underlie claims on Wikidata. What is added to Wikidata will therefore be supported by a transparent and rigorous system that documents decisions.

An example of the possible future scope of annotation, for medical content, is in the first link below. That sort of detailed abstract of a publication can be a target for TDM, adds great value, and could be presented in machine-readable form. You are invited to discuss the detailed proposal on Wikidata, via its talk page.

Links

 * Jon Udell, blogpost Annotating to extract findings from scientific papers, 15 December 2015
 * TDM and Libraries, Virginia Tech report
 * Magnus Manske, The Whelming: Scaling up Wikidata editing
 * OCLC and Internet Archive collaborate to expand library access to digital collections, metadata and linking exchange
 * GLOW week in November: Wikidata workshops on politician info

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 * }

Facto Post – Issue 6 – 15 November 2017
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 * Facto Post – Issue 6 – 15 November 2017

 

WikidataCon Berlin 28–9 October 2017
Under the heading rerum causas cognescere, the first ever Wikidata conference got under way in the Tagesspiegel building with two keynotes, One was on YAGO, about how a knowledge base conceived ten years ago if you assume automatic compilation from Wikipedia. The other was from manager Lydia Pintscher, on the "state of the data". Interesting rumours flourished: the mix'n'match tool and its 600+ datasets, mostly in digital humanities, to be taken off the hands of its author Magnus Manske by the WMF; a Wikibase incubator site is on its way. Announcements came in talks: structured data on Wikimedia Commons is scheduled to make substantive progress by 2019. The lexeme development on Wikidata is now not expected to make the Wiktionary sites redundant, but may facilitate automated compilation of dictionaries. And so it went, with five strands of talks and workshops, through to 11 pm on Saturday. Wikidata applies to GLAM work via metadata. It may be used in education, raises issues such as author disambiguation, and lends itself to different types of graphical display and reuse. Many millions of SPARQL queries are run on the site every day. Over the summer a large open science bibliography has come into existence there.

Wikidata's fifth birthday party on the Sunday brought matters to a close. See a dozen and more reports by other hands.

Links

 * Wikidata statistics
 * I4OC progress in its first year, with 47% of scientific citation data now open (announced two days ago)
 * The flowering ORCID, Magnus Manske blogpost on identifying authors of scientific papers
 * @querybook, a Twitter feed devoted to SPARQL queries
 * Massive progress on Wikidata coverage of the UK parliament
 * Reminder: WikiFactMine pages on Wikidata are at WD:WFM

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Facto Post – Issue 7 – 15 December 2017
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 * Facto Post – Issue 7 – 15 December 2017

 

A new bibliographical landscape
At the beginning of December, Wikidata items on individual scientific articles passed the 10 million mark. This figure contrasts with the state of play in early summer, when there were around half a million. In the big picture, Wikidata is now documenting the scientific literature at a rate that is about eight times as fast as papers are published. As 2017 ends, progress is quite evident.

Behind this achievement are a technical advance (fatameh), and bots that do the lifting. Much more than dry migration of metadata is potentially involved, however. If paper A cites paper B, both papers having an item, a link can be created on Wikidata, and the information presented to both human readers, and machines. This cross-linking is one of the most significant aspects of the scientific literature, and now a long-sought open version is rapidly being built up. The effort for the lifting of copyright restrictions on citation data of this kind has had real momentum behind it during 2017. WikiCite and the I4OC have been pushing hard, with the result that on CrossRef over 50% of the citation data is open. Now the holdout publishers are being lobbied to release rights on citations.

But all that is just the beginning. Topics of papers are identified, authors disambiguated, with significant progress on the use of the four million ORCID IDs for researchers, and proposals formulated to identify methodology in a machine-readable way. P4510 on Wikidata has been introduced so that methodology can sit comfortably on items about papers.

More is on the way. OABot applies the unpaywall principle to Wikipedia referencing. It has been proposed that Wikidata could assist WorldCat in compiling the global history of book translation. Watch this space.

And make promoting #1lib1ref one of your New Year's resolutions. Happy holidays, all!



Links
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 * WikidataCon: Giving more people more access to more knowledge, report by Peter Kraker of Open Knowledge Maps
 * This is a story of my knowledge adventure in New Zealand moths via Wikicommons, Wikipedia and Wikidata, @SiobhanLeachman
 * Wikidata and Arabic dialects, research paper, DOI: 10.1109/AICCSA.2017.115
 * c:Commons:British Library/Mechanical Curator collection/georeferencing status, Mechanical Curator project on Commons hits 50K maps milestone
 * Historical dataset on the provenance of Wikipedia text: Who wrote this?, by Tilman Bayer, WMF blogpost
 * "Anyone can edit", not everyone does: Wikipedia and the gender gap (PDF), journal paper, Heather Ford and Judy Wajcman
 * Alpha Zero’s "Alien" Chess Shows the Power, and the Peculiarity, of AI, MIT Technology Review, by Will Knight, December 8, 2017
 * }

Facto Post – Issue 8 – 15 January 2018
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 * Facto Post – Issue 8 – 15 January 2018

 

Metadata on the March
From the days of hard-copy liner notes on music albums, metadata have stood outside a piece or file, while adding to understanding of where it comes from, and some of what needs to be appreciated about its content. In the GLAM sector, the accumulation of accurate metadata for objects is key to the mission of an institution, and its presentation in cataloguing.

Today Wikipedia turns 17, with worlds still to conquer. Zooming out from the individual GLAM object to the ontology in which it is set, one such world becomes apparent: GLAMs use custom ontologies, and those introduce massive incompatibilities. From a recent article by, we quote the observation that "vocabularies needed for many collections, topics and intellectual spaces defy the expectations of the larger professional communities." A job for the encyclopedist, certainly. But the data-minded Wikimedian has the advantages of Wikidata, starting with its multilingual data, and facility with aliases. The controlled vocabulary — sometimes referred to as a "thesaurus" as term of art — simplifies search: if a "spade" must be called that, rather than "shovel", it is easier to find all spade references. That control comes at a cost. Case studies in that article show what can lie ahead. The schema crosswalk, in jargon, is a potential answer to the GLAM Babel of proliferating and expanding vocabularies. Even if you have no interest in Wikidata as such, simply vocabularies V and W, if both V and W are matched to Wikidata, then a "crosswalk" arises from term v in V to w in W, whenever v and w both match to the same item d in Wikidata.

For metadata mobility, match to Wikidata. It's apparently that simple: infrastructure requirements have turned out, so far, to be challenges that can be met.

Links
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 * 1lib1ref campaign starts today, see The Wikipedia Library/1Lib1Ref: also #1lib1ref introductory video by
 * Funders should mandate open citations, article 9 January 2018 in Nature by David Shotton
 * From snowflake to avalanche: Possibilities of using free citation data in libraries, translation from the German original of Annette Klein, Mannheim University Library
 * GLAM/Newsletter/December 2017/Contents/WMF GLAM report
 * Why Mickey Mouse’s 1998 copyright extension probably won't happen again: Copyrights from the 1920s will start expiring next year if Congress doesn't act, Timothy B. Lee, 8 January 2018, Arstechnica
 * }

Facto Post – Issue 9 – 5 February 2018
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 * Facto Post – Issue 9 – 5 February 2018

 

m:Grants:Project/ScienceSource is the new ContentMine proposal: please take a look.

Wikidata as Hub
One way of looking at Wikidata relates it to the semantic web concept, around for about as long as Wikipedia, and realised in dozens of distributed Web institutions. It sees Wikidata as supplying central, encyclopedic coverage of linked structured data, and looks ahead to greater support for "federated queries" that draw together information from all parts of the emerging network of websites. Another perspective might be likened to a photographic negative of that one: Wikidata as an already-functioning Web hub. Over half of its properties are identifiers on other websites. These are Wikidata's "external links", to use Wikipedia terminology: one type for the DOI of a publication, another for the VIAF page of an author, with thousands more such. Wikidata links out to sites that are not nominally part of the semantic web, effectively drawing them into a larger system. The crosswalk possibilities of the systematic construction of these links was covered in Issue 8.

External links speaks of them as kept "minimal, meritable, and directly relevant to the article." Here Wikidata finds more of a function. On viaf.org one can type a VIAF author identifier into the search box, and find the author page. The Wikidata Resolver tool, these days including Open Street Map, Scholia etc., allows this kind of lookup. The hub tool by takes a major step further, allowing both lookup and crosswalk to be encoded in a single URL.

Links
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 * What galleries, libraries, archives, and museums can teach us about multimedia metadata on Wikimedia Commons, Wikimedia Foundation blogpost, 29 January 2018, by Jonathan Morgan and Sandra Fauconnier
 * The Wikipedia Library/1Lib1Ref/Connect, 2018 institutional participation in the #1lib1ref campaign
 * Newspeak House queries, created at 3 February 2018 event in London led by
 * Cochrane–Wikipedia Initiative, Wikipedia Signpost special report 5 February 2018, by
 * What is the Last Question?, 5 February 2018
 * }

Facto Post – Issue 10 – 12 March 2018
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 * Facto Post – Issue 10 – 12 March 2018

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Milestone for mix'n'match
Around the time in February when Wikidata clicked past item Q50000000, another milestone was reached: the mix'n'match tool uploaded its 1000th dataset. Concisely defined by its author,, it works "to match entries in external catalogs to Wikidata". The total number of entries is now well into eight figures, and more are constantly being added: a couple of new catalogs each day is normal.

Since the end of 2013, mix'n'match has gradually come to play a significant part in adding statements to Wikidata. Particularly in areas with the flavour of digital humanities, but datasets can of course be about practically anything. There is a catalog on skyscrapers, and two on spiders.

These days mix'n'match can be used in numerous modes, from the relaxed gamified click through a catalog looking for matches, with prompts, to the fantastically useful and often demanding search across all catalogs. I'll type that again: you can search 1000+ datasets from the simple box at the top right. The drop-down menu top left offers "creation candidates", Magnus's personal favourite. Mix'n'match/Manual for more.

For the Wikidatan, a key point is that these matches, however carried out, add statements to Wikidata if, and naturally only if, there is a Wikidata property associated with the catalog. For everyone, however, the hands-on experience of deciding of what is a good match is an education, in a scholarly area, biographical catalogs being particularly fraught. Underpinning recent rapid progress is an open infrastructure for scraping and uploading.

Congratulations to Magnus, our data Stakhanovite!

Links
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 * Wikipedia goes 3D allowing users to upload .STLs for digital reference, Beau Jackson for 3dprintingindustry.com, February 22 2018
 * WikiCite report (video)
 * Formal publication and announcement of ISBN citation dataset, see Twitter post, February 23 2018
 * Plotting the Course Through Charted Waters, workshop on data visualization literacy from Mikhail Popov, Wikimedia Foundation
 * Using Wikidata to build an authority list of Holocaust-era ghettos, Nancy Cooey, United States Holocaust Memorial Museum, February 12 2018
 * Why Should You Learn SPARQL? Wikidata! Mark Longair, blogpost November 29 2017
 * Back to the future: Does graph database success hang on query language?, George Anadiotis for Big on Data, March 5 2018
 * }

Facto Post – Issue 11 – 9 April 2018
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 * Facto Post – Issue 11 – 9 April 2018

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The 100 Skins of the Onion
Open Citations Month, with its eminently guessable hashtag, is upon us. We should be utterly grateful that in the past 12 months, so much data on which papers cite which other papers has been made open, and that Wikidata is playing its part in hosting it as "cites" statements. At the time of writing, there are 15.3M Wikidata items that can do that.

Pulling back to look at open access papers in the large, though, there is is less reason for celebration. Access in theory does not yet equate to practical access. A recent LSE IMPACT blogpost puts that issue down to "heterogeneity". A useful euphemism to save us from thinking that the whole concept doesn't fall into the realm of the oxymoron.

Some home truths: aggregation is not content management, if it falls short on reusability. The PDF file format is wedded to how humans read documents, not how machines ingest them. The salami-slicer is our friend in the current downloading of open access papers, but for a better metaphor, think about skinning an onion, laboriously, 100 times with diminishing returns. There are of the order of 100 major publisher sites hosting open access papers, and the predominant offer there is still a PDF. From the discoverability angle, Wikidata's bibliographic resources combined with the SPARQL query are superior in principle, by far, to existing keyword searches run over papers. Open access content should be managed into consistent HTML, something that is currently strenuous. The good news, such as it is, would be that much of it is already in XML. The organisational problem of removing further skins from the onion, with sensible prioritisation, is certainly not insuperable. The CORE group (the bloggers in the LSE posting) has some answers, but actually not all that is needed for the text and data mining purposes they highlight. The long tail, or in other words the onion heart when it has become fiddly beyond patience to skin, does call for a pis aller. But the real knack is to do more between the XML and the heart.

Links
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 * Crossref as a new source of citation data: A comparison with Web of Science and Scopus, CWTS blogpost 17 January 2018, Nees Jan van Eck, Ludo Waltman, Vincent Larivière, Cassidy Sugimoto
 * Citations with identifiers in Wikipedia, figshare dataset
 * Making women more visible online—with Wikidata tools!, Wikimedia blogpost 29 March 2018 by Sandra Fauconnier
 * Village pump discussion, Turn on mapframe? We’re ready if you are reaches conclusions
 * The Power of the Wikimedia Movement beyond Wikimedia, Forbes 28 March 2018, Michael Bernick
 * Tracing stolen bitcoin, blogpost 26 March 2018 by Ross J. Anderson
 * }

Facto Post – Issue 12 – 28 May 2018
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 * Facto Post – Issue 12 – 28 May 2018

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ScienceSource funded
The Wikimedia Foundation announced full funding of the ScienceSource grant proposal from ContentMine on May 18. See the ScienceSource Twitter announcement and 60 second video.

The proposal includes downloading 30,000 open access papers, aiming (roughly speaking) to create a baseline for medical referencing on Wikipedia. It leaves open the question of how these are to be chosen.
 * A medical canon?

The basic criteria of WP:MEDRS include a concentration on secondary literature. Attention has to be given to the long tail of diseases that receive less current research. The MEDRS guideline supposes that edge cases will have to be handled, and the premature exclusion of publications that would be in those marginal positions would reduce the value of the collection. Prophylaxis misses the point that gate-keeping will be done by an algorithm.

Two well-known but rather different areas where such considerations apply are tropical diseases and alternative medicine. There are also a number of potential downloading troubles, and these were mentioned in Issue 11. There is likely to be a gap, even with the guideline, between conditions taken to be necessary but not sufficient, and conditions sufficient but not necessary, for candidate papers to be included. With around 10,000 recognised medical conditions in standard lists, being comprehensive is demanding. With all of these aspects of the task, ScienceSource will seek community help.

Links
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 * d:Wikidata:Lexicographical data, Wikidata's multi-lingual dictionary project gets going
 * Ordia tool, a basic search interface for Wikidata lexemes and forms
 * OpenRefine tool 3.0, May update allows wrangling of tabular information into Wikidata
 * d:Wikidata:WikiProject British Politicians pushes ahead with data modelling and imports
 * #1Lib1Ref Returns for a Second Time in 2018, IFLA blogpost 25 May 2018, second chance this year to participate in referencing Wikipedia
 * }

Facto Post – Issue 13 – 29 May 2018
MediaWiki message delivery (talk) 18:19, 29 June 2018 (UTC)

Facto Post – Issue 14 – 21 July 2018
MediaWiki message delivery (talk) 06:10, 21 July 2018 (UTC)

Facto Post – Issue 15 – 21 August 2018
MediaWiki message delivery (talk) 13:23, 21 August 2018 (UTC)

Facto Post – Issue 16 – 30 September 2018
MediaWiki message delivery (talk) 17:57, 30 September 2018 (UTC)

Facto Post – Issue 17 – 29 October 2018
MediaWiki message delivery (talk) 15:01, 29 October 2018 (UTC)

Facto Post – Issue 18 – 30 November 2018
MediaWiki message delivery (talk) 11:20, 30 November 2018 (UTC)

Facto Post – Issue 19 – 27 December 2018
MediaWiki message delivery (talk) 19:08, 27 December 2018 (UTC)

Facto Post – Issue 20 – 31 January 2019
MediaWiki message delivery (talk) 10:53, 31 January 2019 (UTC)

Facto Post – Issue 21 – 28 February 2019
MediaWiki message delivery (talk) 10:02, 28 February 2019 (UTC)

Facto Post – Issue 22 – 28 March 2019
MediaWiki message delivery (talk) 11:45, 28 March 2019 (UTC)

Facto Post – Issue 23 – 30 April 2019
MediaWiki message delivery (talk) 11:27, 30 April 2019 (UTC)

Facto Post – Issue 24 – 17 May 2019
MediaWiki message delivery (talk) 18:52, 17 May 2019 (UTC)

Notice of Conflict of interest noticeboard discussion
There is currently a discussion at Conflict of interest/Noticeboard regarding a possible conflict of interest incident with which you may be involved. Thank you. SmartSE (talk) 19:33, 18 November 2021 (UTC)