Difference between revisions of "Submissions:2021/WikiLetters Systematic Review"
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|academic=Yes |
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|author='''SCIENCE''', Andutta, F.P., Driemeier, L., Harari, J., Lopes, M., Mietchen, D., Rasberry, L. |
|author='''SCIENCE''', Andutta, F.P., Driemeier, L., Harari, J., Lopes, M., Mietchen, D., Rasberry, L. |
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− | |email=fernando_andutta{{@}}yahoo.com.br; driemeie{{@}}usp.br; joharari{{@}}usp.br; marcoslopes{{@}}usp.br; |
+ | |email=fernando_andutta{{@}}yahoo.com.br; driemeie{{@}}usp.br; joharari{{@}}usp.br; marcoslopes{{@}}usp.br; daniel.mietchen{{@}}ibmt.fraunhofer.de; rasberry{{@}}virginia.edu |
|username=bluerasberry |
|username=bluerasberry |
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|affiliates=Polytechnic Institute, Oceanographic Institute, and Department of Linguistics at the University of Sao Paulo; School of Data Science, University of Virginia |
|affiliates=Polytechnic Institute, Oceanographic Institute, and Department of Linguistics at the University of Sao Paulo; School of Data Science, University of Virginia |
Revision as of 16:21, 6 September 2021
This submission has been noted and is pending review for WikiConference North America 2021.
Title:
- WikiLetters Systematic Review
Theme:
- Tech & Tools
Type of session:
- Presentation
Abstract:
A "literature review" is the common research practice of survey existing research publications on a particular topic. When researchers conduct a literature review which is meant to be reproducible and quantitative, then it mostly becomes a "systematic review". Here we share the WikiLetters Method-Tool (MT) as an asset for generating systematic reviews using wikipedia platform content and data science technology to quickly identify and profile sets of scientific journals with great reproducibility.
To operate this MT, the researcher gives the tool about a few tens, hundreds of even around 1000 scientific journals which they feel comprises required knowledge of a subject. The MT then clusters the papers such that a researcher can quantitatively separate papers into two groups: those which are the most likely to discuss the topic enough to merit inclusion in the review, and those which are most likely to diverge from scope. Furthermore, this tool provide means of transparency so that any other researcher can follow the exact same path provided in this tool, and achieve same results.
This MT imagines the Wikipedia platform as a starting point for scholarly literature review in any field. It builds upon the wikicite project, which is the wikidata community effort to open metadata from Scholarly literature, and combines that dataset with contemporary algorithms for analysis and visualization.
While other tools for aiding systematic review exist, benefits of this one include the following: it is free, open, simple to use, and highly reproducible; it advances the activism and consumer rights protection of the existing WikiCite project; developing the Wikipedia platform as a center serious scholarly research may be a useful strategic direction; and aside from scholarly use, Wikipedia editors can benefit from casually generating systematic reviews for any Wikipedia article where academic publications cover the subject. Furthermore, Wiki-editors can once in a while use this MT to append recent research into existing systematic reviews and turning these into a living systematic review.
Academic Peer Review option:
- Yes
Author name:
E-mail address:
- fernando_anduttayahoo.com.br; driemeieusp.br; joharariusp.br; marcoslopesusp.br; daniel.mietchenibmt.fraunhofer.de; rasberryvirginia.edu
Wikimedia username:
- bluerasberry
Affiliated organization(s):
- Polytechnic Institute, Oceanographic Institute, and Department of Linguistics at the University of Sao Paulo; School of Data Science, University of Virginia
Estimated time:
- 25 minutes
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