Wikidata:Property proposal/abstract

abstract or summary

Originally proposed at Wikidata:Property proposal/Generic

   Not done

Description	brief summary that provides the essential points of written works, such as the content of a publication or a journal article, or a summary of the content of other works such as films
Represents	abstract (Q333291), summary (Q776754), scholarly conference abstract (Q58632367)
Data type	Monolingual text
Domain	written work (Q47461344), publication (Q732577), work (Q386724), book (Q571), article (Q191067), audiovisual work (Q2431196), film (Q11424), television program (Q15416), creative work (Q17537576)
Allowed values	free text
Example 1	Trying Home: The Rise and Fall of an Anarchist Utopia on Puget Sound (Q104018315) → The true story of an anarchist colony on a remote Puget Sound peninsula, Trying Home traces the history of Home, Washington, from its founding in 1896 to its dissolution amid bitter infighting in 1921. As a practical experiment in anarchism, Home offered its participants a rare degree of freedom and tolerance in the Gilded Age, but the community also became notorious to the outside world for its open rejection of contemporary values. Using a series of linked narratives, Trying Home reveals the stories of the iconoclastic individuals who lived in Home, among them Lois Waisbrooker, an advocate of women's rights and free love, who was arrested for her writings after the assassination of President McKinley; Jay Fox, editor of The Agitator, who defended his right to free speech all the way to the Supreme Court; and Donald Vose, a young man who grew up in Home and turned spy for a detective agency. Justin Wadland weaves his own discovery of Home-and his own reflections on the concept of home-into the story, setting the book apart from a conventional history. After discovering the newspapers published in the colony, Wadland ventures beyond the documents to explore the landscape, travelling by boat along the steamer route most visitors once took to the settlement. He visits Home to talk with people who live there now. Meticulously researched and engagingly written, Trying Home will fascinate scholars and general readers alike, especially those interested in the history of the Pacific Northwest, utopian communities, and anarchism.
Example 2	The status of coral reef ecology research in the Red Sea (Q58041023) → The Red Sea has long been recognized as a region of high biodiversity and endemism. Despite this diversity and early history of scientific work, our understanding of the ecology of coral reefs in the Red Sea has lagged behind that of other large coral reef systems. We carried out a quantitative assessment of ISI-listed research published from the Red Sea in eight specific topics (apex predators, connectivity, coral bleaching, coral reproductive biology, herbivory, marine protected areas, non-coral invertebrates and reef-associated bacteria) and compared the amount of research conducted in the Red Sea to that from Australia’s Great Barrier Reef (GBR) and the Caribbean. On average, for these eight topics, the Red Sea had 1/6th the amount of research compared to the GBR and about 1/8th the amount of the Caribbean. Further, more than 50 % of the published research from the Red Sea originated from the Gulf of Aqaba, a small area (<2 % of the area of the Red Sea) in the far northern Red Sea. We summarize the general state of knowledge in these eight topics and highlight the areas of future research priorities for the Red Sea region. Notably, data that could inform science-based management approaches are badly lacking in most Red Sea countries. The Red Sea, as a geologically “young” sea located in one of the warmest regions of the world, has the potential to provide insight into pressing topics such as speciation processes as well as the capacity of reef systems and organisms to adapt to global climate change. As one of the world’s most biodiverse coral reef regions, the Red Sea may yet have a significant role to play in our understanding of coral reef ecology at a global scale.
Example 3	Where'd You Go Bernadette (Q19364488) → When her notorious, hilarious, volatile, talented, troubled, and agoraphobic mother goes missing, teenage Bee begins a trip that takes her to the ends of the Earth to find her. Bernadette Fox is notorious. To her Microsoft-guru husband, she is a fearlessly opinionated partner; to fellow private-school mothers in Seattle, she is a disgrace; to design mavens, she is a revolutionary architect, and to 15-year-old Bee, she is a best friend and, simply, Mom. Then Bernadette disappears. It began when Bee aced her report card and claimed her promised reward: a family trip to Antarctica. But Bernadette's intensifying allergy to Seattle, and people in general, has made her so agoraphobic that a virtual assistant in India now runs her most basic errands. A trip to the end of the Earth is problematic. To find her mother, Bee compiles e-mail messages, official documents, secret correspondence, creating a touching novel about a family coming to terms with who they are, and the power of a daughter's love for her imperfect mother.
Example 4	Mechanisms for Scaffold-Mediated Regulation of Kinase Activity in the Wnt Signaling Pathway (Q98058281) → Cellular signaling is a complex process involving numerous pathways. Many of these pathways are connected through shared proteins, creating branch points that may result in crosstalk between pathways. It is not fully understood how protein activity can be regulated by a variety of different upstream signals and still maintain specificity. Scaffold proteins may act as a solution to this specificity issue by physically assembling signaling proteins within a specific pathway, such as a MAPK cascade. There are many models for how scaffold proteins regulate protein activity, all of which are based on the idea that scaffold proteins increase specificity by increasing reaction rates for the proteins they bring together. Even though this idea has laid the foundation for many studies in the signaling field, we still lack a thorough kinetic analysis of scaffold function and its effect on specificity. In order to determine if scaffold proteins actually increase reaction rates as a mechanism for specificity, we measured GSK3β reaction rates with several substrates in a minimal, biochemically reconstituted system of the Wnt signaling network. We found that the Wnt scaffold Axin produces a modest, 2-fold enhancement of the rate of phosphorylation of the Wnt substrate β-catenin. Surprisingly, we found that Axin significantly slows the rate of phosphorylation of a non-Wnt substrate. Together, these data suggest that Axin alone is not sufficient to accelerate a specific kinase-substrate reaction. Instead, Axin can promote signaling specificity by suppressing kinase reactions with competing, non-Wnt pathway targets. Further, these newly identified properties of Axin reinforce an emerging trend that scaffold proteins can regulate kinase activity through a diverse set of mechanisms.
Example 5	Crazy Rich Asians (Q29588623) → A native New Yorker Rachel Chu accompanies her longtime boyfriend, Nick Young, to his best friend's wedding in Singapore. Excited about visiting Asia for the first time but nervous about meeting Nick's family, Rachel is unprepared to learn that Nick has neglected to mention a few key details about his life. It turns out that he is not only the scion of one of the country's wealthiest families but also one of its most sought-after bachelors.
Planned use	We will be creating items for our doctoral dissertations and master's theses and we would like to include the abstracts in these items.
Expected completeness	always incomplete (Q21873886)
See also	Ecole des chartes thesis abstract ID (P4465), scope and content (P7535)

Motivation

We are starting to create items for University of Washington doctoral dissertations and master's theses, and these would be enhanced with the inclusion of the abstract. There are numerous items for articles, books, films, and other publications that would also be enhanced by the inclusion of an abstract or summary. UWashPrincipalCataloger (talk) 19:49, 21 December 2020 (UTC)

Discussion

Not explicitly opposed to this (as this is a feature that existed in many academic database but not Wikidata), but this is not structured data, and there may be copyright issue. BTW: The example 4 can not be stored directly as there are more than 1500 characters (but this can be circumvented via using multiple abstract statements. --GZWDer (talk) 20:42, 21 December 2020 (UTC)

• What is the copyright status of all this text? At a glance this appears to be copyrighted text which Wikimedia cannot host, and that we have to delete for lack of license to publish. Also as GZWDer said, this is not structured data, and if we include such text, we would need to have a talk about process. I like the proposal but I expect this idea will be significantly more complicated to work through than a typical property discussion. A good start would be to identify a corpus of free and open text of abstracts that we can discuss for modelling. Blue Rasberry (talk) 20:58, 21 December 2020 (UTC)
•  Oppose It's likely to lead to copyright violations to have the property. It's also not structured data and more text then fits into monolingual text. Maybe WikiSource is the better place for the data? ChristianKl ❪✉❫ 23:02, 21 December 2020 (UTC)

•  Oppose If it's copied, from copy-righted material it's most probably copyright infringement. Even if it's not, wikiquote would probably the better place to store it. If it's written by contributors, it's encyclopedic content and doesn't belong here. -- Dr.üsenfieber (talk) 23:11, 21 December 2020 (UTC)
•  Oppose Not suitable for Wikidata. ArthurPSmith (talk) 18:03, 22 December 2020 (UTC)
• @UWashPrincipalCataloger, Dr.üsenfieber, ArthurPSmith, Bluerasberry, GZWDer: Not done given that it's not structured data. ChristianKl ❪✉❫ 13:22, 31 December 2020 (UTC)
•  Support @UWashPrincipalCataloger, Dr.üsenfieber, ArthurPSmith, Bluerasberry, GZWDer, ChristianKl: I know I'm late to vote, but I want to comment since I suspect we'll come back to this again.
  • A year ago I proposed a similar prop called "description", which is important eg for Cultural Heritage objects. (The builtin field "description" is a short descr for disambiguation only, and fits only a little text). It was turned down, which prevented us from submitting good descriptions of Bulgarian religious icons to WD.
  • The argument "will lead to copyright infringement" is bogus. You can't make such a claim in general. That should be the judgement of every data submitter, and applies to other fields as well.
  • Eg all abstracts obtained from the CrossRef API are open data.
  • Eg the entirety of Getty Vocabularies is Open Data, including their great editorialized descriptions (eg see rhyta)
  • If you object to the copyright status of Abstract, why don't you object to the copyright status of Title and Cites? (More works at the CrossRef API have abstracts than have Citations).
  • The argument "not structured data" is irrelevant. Titles are also "not structured data", but are a crucial piece of info
  • EVERY encyclopedic ontology has such a prop (schema, dbpedia, even Dublin Core). Frankly, I find the refusal to accept such prop a bit asinine
• Would someone eg @Dr.üsenfieber: care to elaborate how the description of "rhyta" can be stored on Wikiquote, how it can be accessed with SPARQL, and how much that would complicate data contribution workflows? --Vladimir Alexiev (talk) 12:20, 18 February 2021 (UTC)
  • My brain must've paused for a second when I was writing my statement above. Of course I wanted to suggest adding this to Wikisource, not Wikiquote. You can query the link to the Wikisource entry with SPARQL as follows:

    SELECT DISTINCT ?lang ?name ?url WHERE {
      ?url schema:about wd:Q1845 ;
                  schema:inLanguage ?lang ;
                  schema:name ?name ;
                  schema:isPartOf [ wikibase:wikiGroup "wikisource" ].
    }
    

    Try it!
    . Replace Q1845 with the respective Q-ID. I am not familiar with rhyta and am therefore unable to go into specifics, but in general I'd suggest creating a wikisource page (following respective Wikisource policies), adding the text to that page and linking the Wikisource page to the Wikidata item. The data contribution workflow is more complex this way, but that's the way Wikimedia projects work: We specialize in certain kinds of content. Wikisource collects public domain texts written by third parties, while Wikidata collects structured data.-- Dr.üsenfieber (talk) 12:45, 18 February 2021 (UTC)
•  Support Mitar (talk) 12:42, 9 January 2022 (UTC)