Difference between revisions of "Submissions:2017/A Macro-Micro Biological Tour of Wikidata"
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(How effective is Wikidata in analyzing concepts affecting two types of biological entities, human and bacteriological, in a consistent manner?) |
SuperHamster (talk | contribs) (Marking as accepted) |
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;Title: A Macro-Micro Biological Tour of Wikidata |
;Title: A Macro-Micro Biological Tour of Wikidata |
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− | ;[[Submissions#Proposal Themes|Theme]] (optional): Infrastructure (Wikidata Ontology and Event Representation), GLAM (Historical information), Advocacy (Developing more complete and consistent historical information), |
+ | ;[[Submissions#Proposal Themes|Theme]] (optional): Infrastructure (Wikidata Ontology and Event Representation), GLAM (Historical information), Advocacy (Developing more complete and consistent historical information), Outreach (Wiki Loves History) <!-- Advocacy & Outreach/Community/Technology/GLAM/Education - if no particular theme, write "N/A" --> |
;[[Submissions#Presentation Types|Type of submission]]: Presentation |
;[[Submissions#Presentation Types|Type of submission]]: Presentation |
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;Affiliation: DataSmith, LLC <!-- Organization, company, Wikimedia affiliate, etc. --> |
;Affiliation: DataSmith, LLC <!-- Organization, company, Wikimedia affiliate, etc. --> |
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− | ;Abstract: Sam likes history, and Oliver (Dr. Yongquhn He, University of Michigan Medical Research Center) is a specialist in both bacteriology and bioinformatics ontologies. In this “Macro-Micro Biological Tour of Wikidata,” they ask “to what degree can Wikidata be used to research these two fields (Human history and microbiology) |
+ | ;Abstract: Sam likes history, and Oliver (Dr. Yongquhn He, University of Michigan Medical Research Center) is a specialist in both bacteriology and bioinformatics ontologies. In this “Macro-Micro Biological Tour of Wikidata,” they ask “to what degree can Wikidata be used to research these two fields (Human history and microbiology), with consistency and completeness?” Is the underlying ontology robust enough to encompass both the Macro (human) and microbiological realms, and is the data complete and accurate enough to support analysis? If not, what is needed? This presentation will describe their findings in assessing human and bacteriological history from 1750 to 1950, primarily in Germany, France and England, and how effective Wikidata could be in supporting this effort. Dr. He has proposed a “OneNet” theory to integrate factors affecting bacteriology research that also apply to human research, so the underlying theme of information integration permeates this endeavor. |
;Length of presentation: 30 min. <!-- 30-45 min. for panels, 30-75 min. for workshops, 15-30 min. for presentations --> |
;Length of presentation: 30 min. <!-- 30-45 min. for panels, 30-75 min. for workshops, 15-30 min. for presentations --> |
Latest revision as of 02:53, 20 July 2017
This submission has been accepted for WikiConference North America 2017.
- Title
- A Macro-Micro Biological Tour of Wikidata
- Theme (optional)
- Infrastructure (Wikidata Ontology and Event Representation), GLAM (Historical information), Advocacy (Developing more complete and consistent historical information), Outreach (Wiki Loves History)
- Type of submission
- Presentation
- Author
- Sam Smith
- E-mail address
- smsmith508@aol.com
- Username
- SammyWiki on Wikimedia, MiSam in WMNA registration
- Affiliation
- DataSmith, LLC
- Abstract
- Sam likes history, and Oliver (Dr. Yongquhn He, University of Michigan Medical Research Center) is a specialist in both bacteriology and bioinformatics ontologies. In this “Macro-Micro Biological Tour of Wikidata,” they ask “to what degree can Wikidata be used to research these two fields (Human history and microbiology), with consistency and completeness?” Is the underlying ontology robust enough to encompass both the Macro (human) and microbiological realms, and is the data complete and accurate enough to support analysis? If not, what is needed? This presentation will describe their findings in assessing human and bacteriological history from 1750 to 1950, primarily in Germany, France and England, and how effective Wikidata could be in supporting this effort. Dr. He has proposed a “OneNet” theory to integrate factors affecting bacteriology research that also apply to human research, so the underlying theme of information integration permeates this endeavor.
- Length of presentation
- 30 min.
- Special requests
- Laptop LCD Projector
- Preferred room size
- 10 - 20
- Wikimania submission?
- Yes, not accepted
- Will you attend WikiConference North America if your submission is not accepted?
- Yes
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