Difference between revisions of "Submissions:2021/WikiProject Clinical Trials, Wikipedia for Research"
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| + | [[File:Noun clinical benchmarking 1958245.svg|thumb|right|[[:d:Wikidata:WikiProject Clinical Trials|WikiProject Clinical Trials]]]] |
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| + | <big><big>[[File:WikiProject Clinical Trials.pdf]] <---SLIDES</big></big> |
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| − | While clinical trials and medical research are important in themselves, and even while the world became much more interested in medical research such as vaccine clinical trials in the context of COVID-19, we advance the discussion of how Wikipedia is affecting research. By importing clinical trials data to the Wikipedia ecosystem, we change the nature of the data by adding content which otherwise is less easily accessible. In the original database the researchers, sponsors, research institutes, and medical conditions are names and terms, whereas in Wikipedia, they become biographies, organization profiles, lists of related publications in WikiCite, points on maps which communicate research trends, and interconnected information with other things we know about treatment and disease. Although in this case we profiled medical research, the same process will someday model research projects of any kind whether in humanities, sciences, or civics. |
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| ⚫ | [[:d:Wikidata:WikiProject Clinical Trials|WikiProject Clinical Trials]] is a Wikidata project which began with the import of the United States government medical research database at ClinicalTrials.gov. We give an overview of what we took into the Wikipedia ecosystem and how we matched content there to a wiki data model. |
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| + | While clinical trials and medical research are important in themselves, and even while clinical trials became much more relevant to everyone in the context of COVID-19 vaccine clinical trials, we discuss how the import of clinical trials into Wikidata is just an early step toward re-imagining Wikipedia as a platform for research. Importing clinical trials data into the wiki ecosystem changed the nature of the information by adding otherwise inaccessible context, including become biographies of researchers, profiles of named organizations, referrals to related publications in WikiCite, and data visualizations including points on maps where community stakeholders volunteered to make sacrifices for research. Although in this case we profiled medical research, the same process will someday model research projects of any kind whether in humanities, sciences, or civics. Understanding this process will speed the migration of well-funded medical technology into underserved academic fields. |
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This is a presentation for everyone and requires no background in medicine, data science, or Wikidata. |
This is a presentation for everyone and requires no background in medicine, data science, or Wikidata. |
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Latest revision as of 01:51, 17 December 2021
This submission has been accepted for WikiConference North America 2021.
Title:
- WikiProject Clinical Trials, Wikipedia for Research
Theme:
- Global & Local, Relationship Building & Support, Inclusion & Diversity
Type of session:
- Presentation
Abstract:
File:WikiProject Clinical Trials.pdf <---SLIDES
This talk has two parts: a specific presentation of WikiProject Clinical Trials, and a general discussion of Wikipedia's future as a platform for research.
WikiProject Clinical Trials is a Wikidata project which began with the import of the United States government medical research database at ClinicalTrials.gov. We give an overview of what we took into the Wikipedia ecosystem and how we matched content there to a wiki data model.
While clinical trials and medical research are important in themselves, and even while clinical trials became much more relevant to everyone in the context of COVID-19 vaccine clinical trials, we discuss how the import of clinical trials into Wikidata is just an early step toward re-imagining Wikipedia as a platform for research. Importing clinical trials data into the wiki ecosystem changed the nature of the information by adding otherwise inaccessible context, including become biographies of researchers, profiles of named organizations, referrals to related publications in WikiCite, and data visualizations including points on maps where community stakeholders volunteered to make sacrifices for research. Although in this case we profiled medical research, the same process will someday model research projects of any kind whether in humanities, sciences, or civics. Understanding this process will speed the migration of well-funded medical technology into underserved academic fields.
This is a presentation for everyone and requires no background in medicine, data science, or Wikidata.
Academic Peer Review option:
- Yes
Author name:
E-mail address:
- rasberry
virginia.edu
Wikimedia username:
- bluerasberry
Affiliated organization(s):
- University of Virginia
Estimated time:
- presentation preferred, lighting talk possible
Special requests:
Have you presented on this topic previously? If yes, where/when?:
- no
If your submission is not accepted, would you be open to presenting your topic in another part of the program? (e.g. lightning talk or unconference session)
- yes