Editing Mika/Temp/WikiFCD

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[[File:Marketvegetables.jpg|thumb|200px]]
[https://en.wikipedia.org/wiki/Food_composition_data Food composition data (FCD)] are an essential part of nutrition research. FCD provide nutrient data for processed/cooked (e.g. veggie burger, hard-boiled eggs) and unprocessed (e.g. apples) food. Many FCDs are available online, although they come in various different formats (e.g. PDF, CSV) with varying degrees of details in content. Nutrient content of unprocessed food can also vary for the same item because of factors such as climate and terroir. Area- and time-specific data are key to understanding nutrition and health. Importantly, even though there are also wide regional variations in foods that are commonly consumed, some places lack access to regionally suitable FCD, FCD in their own languages, or only have older FCD, leading to disparities in data availability and accessibility and ultimately, in scientific evidence in health research.


Food, nutrition, and health are some of the most highly engaged topics in the Wikimedia ecosystem, and around the world.  [[Food_composition_data| Food Composition Data (FCD)]] is a key piece connecting those three topics, providing nutrient data for each food item. There is a need for an open and structured database for a global FCD and Wikimedia - especially Wikidata - is a perfect place to accommodate some of these data. Due to the diversity and complexity of the existing FCDs, it would be helpful to have a placeholder that can accommodate all the details from the existing FCDs, from which Wikidata project editors can pull information deemed appropriate for Wikimedia. Accommodating all the details are important as the needs within Wikimedia projects can change over time.
Despite several attempts by research institutes and intergovernmental agencies to create a global FCD in the past, none has succeeded in developing a universally accessible, up-to-date, easy-to-use, and comprehensive global FCD. Development and maintenance of these databases are difficult if the contributors are limited to small sets of researchers and employees in this field. The wiki system has a potential to bring a better solution to this problem. We propose WikiFCD to compile detailed food composition data that are already available online. The need for diverse participants in this project is very much in line with the missions of projects supported by Wikimedia Foundation and, through this pilot project, we hope to show how peer production can contribute to the improvement in data/knowledge disparities in global nutrition.
 
We believe that Wikimedia is an appropriate venue to pursue for this project. Many FCDs - which currently come in various different formats (e.g. PDF, CSV) - include varying degrees of details. Nutrient content of unprocessed food items (e.g. apples) can also vary for the same item from different areas and times because of changing characteristics such as climate and terroir. However, the current FCDs are not well-suited for reflecting these changes. In fact, research institutes and intergovernmental agencies have attempted to create a global FCD in the past and none has succeeded to this date. Development and maintenance of such database are difficult if the contributors are limited to small/closed groups of researchers and employees in this field. Importantly, even though there are also wide regional variations in foods that are commonly consumed, some places lack access to regionally appropriate FCD, up-to-date FCD, or FCD in their own languages, leading to disparities in data availability and accessibility and ultimately, in scientific evidence in health research. We need a more open and collaborative system.


===What is your solution to this problem?===
===What is your solution to this problem?===
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'''1. What is the solution to this problem?'''
'''1. What is the solution to this problem?'''
'''We propose a Wikibase instance, WikiFCD, to create a global nutrient FCD. This wiki-based system will engage participants from diverse wiki communities to make this database universally accessible, up-to-date, and comprehensive.'''
Through this pilot project, we will write schemas to describe our data model based on five large food composition datasets that are already available online and develop good documentation for both project development and use. '''The equity and global nature of the project requires diverse participants''', which is very much in line with the missions of projects supported by Wikimedia Foundation. Through this pilot project, we hope to show how peer production can contribute to the improvement in data/knowledge disparities in global nutrition.
   
   
We will test several automated and manual methods to populate the wikibase with nutrient data from 5 food composition databases from around the world (see [[Mika/Temp/WikiFCD#Project_plan|Project Plan]] section for details). We will write schemas to describe our data model. We will map our properties to Wikidata properties.
We will use an iterative process to test several automated and manual methods to populate the wikibase with nutrient data from 4 food composition databases from around the world (see [[Mika/Temp/WikiFCD#Project_plan|Project Plan]] section for details). We will write schemas to describe our data model. We will map our properties to Wikidata properties.


'''2. Why is this a good idea?'''
'''2. Why is this a good idea?'''


* First, this Wikibase instance will '''significantly improve the usability of FCD from different sources for diverse users''' - from WikiProjects and Wikipedia editors and viewers to academic researchers to public health workers. [https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Food_and_drink WikiProject food and Drink] on English Wikipedia and [https://www.wikidata.org/wiki/Q8485990#sitelinks-wikipedia its equivalents in other languages] are universally popular WikiProjects among editors and likewise, many articles on food and drink are within the top 10% of any Wikipedia's articles by pageviews. This new project can contribute to a topic that is of high interest to many people.
First, this wikibase system will significantly improve the usability of FCD from different sources for diverse users - from health-conscious individuals to academic researchers to public health workers. Building a structured dataset is also a key step in identifying most appropriate data to borrow in resource-poor settings where up-to-date, detailed, and regionally appropriate FCD are not readily available. This new database will also open up ways to explore new research questions to explore more nuanced nutrition data (e.g. changes in nutrient content of the same product, depending on the climate conditions of the year), which can potentially make substantial advances in nutrition and health research.
 
: Building a structured dataset is also a key step in identifying most appropriate data to borrow in resource-poor settings where up-to-date, detailed, and regionally appropriate FCD are not readily available. This new database will also open up ways to explore new research questions to explore more nuanced nutrition data (e.g. changes in nutrient content of the same product, depending on the climate conditions of the year), which can potentially make substantial advances in nutrition and health research.


* Secondly, by creating an instance of Wikibase for this project, we will be able to design our own data models, with input from Wikidata, to '''incorporate data from heterogeneous data sources'''. If subsets of the data are appropriate for Wikidata, we will be able to provide machine-actionable ShEx schemas that will help us prepare data for other systems. In this way the data will be readily-available for incorporation into Wikidata if desired.
Secondly, by creating an instance of Wikibase for this project, we will be able to design our own data models to incorporate data from heterogeneous data sources. If subsets of the data are appropriate for Wikidata, we will be able to provide machine-actionable ShEx schemas that will help us prepare data for other systems. In this way the data will be readily-available for incorporation into Wikidata if desired.


* Finally, we will '''complete this project with diverse communities from around the world''' as these FCD can be translated into/from many languages. The design of Wikibase will allow us to more easily support additional languages in the data itself, as well as in user interfaces.
Finally, this project will reach diverse communities from around the world as these FCD can be translated into/from many languages. The design of Wikibase will allow us to more easily support additional languages in the data itself, as well as in user interfaces.


==Project goals==
==Project goals==
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# A Wikibase instance with good documentation, a narrative, and an example that can be used for diverse needs (e.g. Wikidata and Wikipedia editors and viewers, future Wikibase users).
# 50 participants covering at least 3 languages.
# 50 participants covering at least 10 languages.
# 3 new data sources.
# 10 new participants from the nutrition communities who have never been involved in wiki-based projects.
# 5 new data sources.


==Project plan==
==Project plan==
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; Data Modeling & bulk data import
; 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.
# 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:  
::We will create a wikibase, based on our analyses of 2 large food composition databases as the starting examples first:  
:: 1) [http://www.fao.org/fileadmin/templates/food_composition/documents/AnFooD2.0.xlsx FAO/INFOODS Analytical Food Composition Database Version 2.0 (AnFooD2.0)]
:: 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) [https://fdc.nal.usda.gov/download-datasets.html USDA Foundation Foods database December 2019]


: 2. Outputs- ShEx schemas and SPARQL query code
::Then we will check how much overlap exists between these larger databases and individual databases listed below. If any information is omitted in the larger databases listed above, we will add those to our system.
 
;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]  
:: 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].  
:: 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)]
:: 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.
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.
# Outputs - Linked FCD in Wikibase.


;Documentation
;Documentation
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''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/>
''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/>
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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.
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 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.
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.
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| Data scientist (10 hours per week for 8 months (34 weeks)) || $30x10x34 = $10,200
| 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
| Software engineer (10 hours per week for 8 months)|| $30x10*34 = $10,200
|-
|-
| Community outreach/Communication intern (8 hours per week for 8 months) || $25x8x34 = $6,800
| Community outreach intern (5 hours per week for 8 months) || $25x5x34 = $4,250
|-
|-
| Server hosting (12 months) || $22x12 = $264  
| Server hosting (12 months at Johns Hopkins School of Public Health) || $22x12 = $264  
|-
|-
| Edit-a-thon event costs || $1000 x 5 = $5,000  
| Event costs || $1000 x 5 = $5,000  
|-
|-
| Travel (Wikimania 2020, 2 people) || $ 4,000
| Travel (Wikimania 2020, 2 people) || $ 4,000
|-
|-
| Total || $ 36,464
| Total || $ 33,914
|}
|}


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* Software Engineer- [https://www.wikidata.org/wiki/User:KSN72 Kenneth Seals-Nutt ]
* Software Engineer- [https://www.wikidata.org/wiki/User:KSN72 Kenneth Seals-Nutt ]
* Food composition advisor/nutritional epidemiologist (volunteer) - Sabri Bromage
* Food composition advisor/nutritional epidemiologist (volunteer) - Sabri Bromage
* Volunteer -


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