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Mika/Temp/WikiFCD
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==Project plan== <!--Leave this section blank --> ===Activities=== ''Tell us how you'll carry out your project. What will you and other organizers spend your time doing? What will you have done at the end of your project? How will you follow-up with people that are involved with your project?'' <!-- Please write your response below --> ;System development # Description - We will use the docker image of Wikibase created by WMDE [https://github.com/wmde/wikibase-docker]. We will use QuickStatements as well as custom bots developed using the [https://github.com/SuLab/WikidataIntegrator| WikidataIntegrator python library] to populate the Wikibase. # Outputs - A wikibase instance named WikiFCD hosted on a university server. ; Data Modeling & bulk data import # Description- We will use [http://shex.io/shex-semantics/index.html| ShEx] to express the schemas for our data models. We will align the properties in our Wikibase with relevant Wikidata properties. ::We will first create a wikibase, based on our analyses of 2 large food composition databases as the starting examples: :: 1) [http://www.fao.org/fileadmin/templates/food_composition/documents/AnFooD2.0.xlsx FAO/INFOODS Analytical Food Composition Database Version 2.0 (AnFooD2.0)] :: 2) [https://fdc.nal.usda.gov/download-datasets.html USDA Foundation Foods database December 2019] : 2. Outputs- ShEx schemas and SPARQL query code ;Editathon (Data entry, cross-reference checking, and translation) # Description - We will host five Edit-a-thon events in Seattle (2), in Boston (1), in Baltimore (1), and in Kerala (1) to check "automated" data entries against the original databases, check global vs individual databases, and translate data in this Wikibase into Japanese, Spanish, and Malayalam. Appropriate communities (universities and wikidata communities) have been contacted for hosting these events. ::We will check if overlap exists between these larger databases and individual databases listed below. Then we will add any information that was not cited in the larger databases above. :: 3) [https://drive.google.com/file/d/1eqQ578gHiPoIaHaVYjQa_3sFe_LzGhm1/view Indian Food Composition Tables 2017] :: 4) [http://www.fao.org/3/I8897EN/i8897en.pdf Kenya Food Composition Tables 2018]. :: 5) [https://www.mext.go.jp/en/policy/science_technology/policy/title01/detail01/sdetail01/sdetail01/1385122.htm STANDARD TABLES OF FOOD COMPOSITION IN JAPAN - 2015 - (Seventh Revised Edition)] : 2. Outputs - Linked FCD in Wikibase. ;Documentation #Description - The process of finding datasets, identifying meta-data (e.g. copyright, year of publication), entering data, translating data, and using data for analyses will be documented. #Outputs - We will generate multiple ShEx schemas that will help us communicate our data model to stakeholders. We will write a tutorial for users of the system. We will write federated SPARQL queries that others may reuse that demonstrate how to combine WikiFCD data with data from Wikidata. ;Communication #Description - Promotion of project outputs, feedback gathering, presentation at Wikimania and nutrition workshops, tutoring of interested volunteers #Outputs - Blog posts, feedback reports, ShEx schemas ;Project management #Description - We will report our progress twice in 12 months. #Outputs - Mid-term report (6 months), Final report (12 months). {| class="wikitable" ! WP/Month !! 1 !! 2 !! 3 !! 4 !! 5 !! 6 !! 7 !! 8 !! 9 !! 10 !! 11 !! 12 |- | WP1 - System development || X || X || X ||X || X ||X ||X ||X ||X ||X ||X || |- | WP2 - Data Modeling || X || X || X || X || X || X || X || X || || || || |- | WP3 - Edit-a-thon || || || || || || X || X ||X ||X ||X || || |- | WP4 - Documentation || || || || || X || X || X || X || X || X || X || X |- | WP5 - Communication || || || X || X || X || X || X || X || X || X || X || X |- | WP6 - Project management || X || X || X || X || X || X || X || X ||X ||X ||X ||X |} ===Budget=== ''How you will use the funds you are requesting? List bullet points for each expense. (You can create a table later if needed.) Don’t forget to include a total amount, and update this amount in the Probox at the top of your page too!''<br/><br/> <!-- Please write your response below --> Our budget includes the costs of two main developers who will be involved with the project data models and software engineering, for the duration of the project. Engineering/scientist positions will be filled by the grantees. The positions are split as follows: One person working on data models and model alignment with Wikidata and one person working on maintaining the Wikibase and leading bot development work. The community outreach intern (to be recruited) will work with wiki communities, academic researchers, and students to organize edit-a-thon events. For dissemination reasons, we are planning to visit Wikimania, to talk with editors in person about their needs and wishes for contributing food composition data. Wikimania is the right venue for this, as it will have a large pool of editors from different Wikipedia language versions. {| class="wikitable" ! Item !! Budget |- | Data scientist (10 hours per week for 8 months (34 weeks)) || $30x10x34 = $10,200 |- | Software engineer (10 hours per week for 8 months)|| $30x10x34 = $10,200 |- | Community outreach/Communication intern (8 hours per week for 8 months) || $25x8x34 = $6,800 |- | Server hosting (12 months) || $22x12 = $264 |- | Edit-a-thon event costs || $1000 x 5 = $5,000 |- | Travel (Wikimania 2020, 2 people) || $ 4,000 |- | Total || $ 36,464 |} ===Community engagement=== ''How will you let others in your community know about your project? Why are you targeting a specific audience? How will you engage the community you’re aiming to serve at various points during your project? Community input and participation helps make projects successful.''<br/><br/> <!-- Please write your response below --> * Wikipedian communities in Seattle and in India * Academic nutrition communities in Boston and in Baltimore. * We will host a workshop at Wikimania 2020. * We will share our data models via ShEx schemas * We will share SPARQL queries that others can use to combine WikiFCD data with Wikidata
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