User:Mcnabber091/sandbox/Global Economic Map task force



There are many different ways that one can contribute toward the Global Economic Map. Below all the ways Wikipedians can help are listed below.

Article preparation
Create a blank article
 * A new article can be created at this link: http://en.wikipedia.org/wiki/Help:Userspace_draft. Name the article, 'Economic summary of ________'. Copy and paste the entire contents of an existing blank article and replace all names. Copy and paste the url for the newly created article on the appropriate list so it can be located from the homepage. This job can be done for any country, region or city.

Create a regional list article
 * List articles are used to list subdivision articles for a country. A new article can be created at this link: http://en.wikipedia.org/wiki/Help:Userspace_draft. Name the article, 'List of _______ _______' (ex. List of U.S. States). On that article list out subdivisions and leave space for a link to be posted for each subdivision.

Rank a regional list article by GDP
 * Each list of subdivision must be ranked by GDP. Currently the Global Economic Map community does not have a consistent way of accessing this data. If somebody knows where to access this information, please let us know.

Add a flag photo
 * All photos must come from the Wikimedia Commons. Search the Wikimedia Commons for the flag. Copy the file name of the picture listed above the photo (Ex. File:Flag of California.svg). Paste the file name into the photo code. Only change the file name and do not change the rest of the photo code. Paste the photo code to in front of the article title. Photo codes can be found on existing articles.

Country data
Add introduction economic data for a country
 * At the start of every country article there is a short introduction with a few basic economic statistics. This includes total GDP, population, GDP per capita and real GDP growth rate. Below is listed where to find each statistic. GDP: http://data.worldbank.org/indicator/NY.GDP.MKTP.CD GDP per capita: http://data.worldbank.org/indicator/NY.GDP.PCAP.CD Population: http://data.worldbank.org/indicator/SP.POP.TOTL. Real GDP growth rate: http://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG

Add GDP by region statistics fro a country
 * Currently we do not know a single database listing the GDP by region for each country. We recommend that editors find reliable sources on Google and add the data individually.

Add top ten city statistics for a country
 * Currently we do not know a single database listing the largest cities for each country. We recommend that editors find reliable sources on Google and add the data individually.

Add GDP by industry statistics to a country
 * The United Nations has an excel document with GDP by industry data for every country. Here is a link: http://unstats.un.org/unsd/snaama/dnllist.asp. Click on 'All countries for all years - sorted alphabetically' under 'GDP and its breakdown at current prices in US Dollars'. Pick a country that needs GDP by industry data and enter the data into the 'Industries' section. It is easiest to do this in split screen mode on a computer. Using a calculator, calculate the percentage of total for each industry and insert that number into the table. The last step is to sort the industries with largest at top.

Add employment by industry statistics to a country
 * The International Labor Organization has employment by industry data for every country. Here is a link: http://laborsta.ilo.org/. Click on 'Employment' and 'Main statistics annual'. From there choose a country that needs employment data and click on '2B Total Employment by economic activity' then 'Go'. In the upper right a download should appear. Click on the download. Add the statistics into the table under the 'Employment' section of the country article. It is easiest to do this in split screen mode on a computer. Using a calculator, calculate the percentage of total for each industry and insert that number into the table. The last step is to sort the industries with largest at the top.

Add top 10 corporations by revenue
 * Currently we do not know of a standard list ranking largest corporations by revenue other than Forbes' Fortune 500 list. Unfortunately, the Forbes list does not have enough data for every country. We are looking for recommendations on how we can formulate a top 10 corporations list in an easier way.

Add top 10 financial institutions by assets
 * Currently we do not know of a standard list ranking largest financial institutions by assets. We are looking for recommendations on how we can formulate a top 10 financial institutions in a an easier way.

Add the government budget for a country
 * Currently we do not know a single database listing all of the budgets for each country. We recommend that editors find reliable sources on Google and add the data individually.

Add the monetary policy data for a country
 * Currently we do not know a single database listing all of the balance sheets for each central bank in the world. We recommend that editors find reliable sources on Google and add the data individually.

Corporation/Financial institution
Add statistics to a corporation/financial institution
 * The data for the 'Corporations' and 'Financial Institutions' section can be obtained from company financial statements. These statistics are generally found on the company website under 'Investor Relations'. The financial statistics for U.S. companies can also be found on Google by using keywords: Form 10k, SEC and financial statement.

Regional data
Add the government budget for a U.S. State
 * The U.S. Census has state government finances listed for every state in the U.S. Here is a link: http://www.census.gov/govs/local/. Click on one of the two 'Downloadable Data' spreadsheets: 'Alabama - Mississippi' or 'Missouri - Wyoming'. These excel spreadsheets also have local government data, so be sure that the column being used is 'State government amount' in order to get the state budget. Add revenues and expenses into the table under the 'Government Finances' section of the state article. Only add in data for the pre-listed sections. It is easiest to do this in split screen mode on a computer. Using a calculator, calculate the percentage of total and insert that number into the table. The last step is to sort the revenues and expenses with the largest at the top.

Wikidata integration
Homepage: http://www.wikidata.org/wiki/Wikidata:Global_Economic_Map_task_force


 * 1) Wikidata already has a page on each country, administrative division and larger companies and financial institutions.
 * 2) The Global Economic Map project will work with Wikidata to define the additional items and properties needed to incorporate the Global Economic data into Wikidata in a form which is machine readable.
 * 3) Once the Wikidata development team have completed the development of the datatypes required for this project (notably the URL datatype and the Number with Dimension datatype - both due to be completed by September 2013) then the properties can be created and the Global Economic Map project will work with Wikidata to create bots to automatically import data from various databases into the various pages in Wikidata. Each datum will be a separate statement on wikidata with a source (where it came from, when it was downloaded) and appropriate qualifiers (industry sector, time period it refers to, location). Where automation is not practical the data will be imported by hand into Wikidata, including the source and date info.
 * 4) Wikidata will make this data, like all the data on Wikidata, available, through their public API, in various standard formats, so it can be reused by others.
 * 5) As part of Wikidata stage 3 (due autumn 2013) the Wikidata developers will work on creating queries and data visualisations using the data in Wikidata. The Economic World map team will create a mini standalone site where the economic data can be queried and displayed in various ways.
 * 6) The Global Economic Map team will work with the Wikidata stage 3 developers and one of the wikipedias (probably not the English Wikipedia - their articles are pretty stable so they don't want too much experimentation) to create data visualisations using the data on Wikidata and add this to national and regional wikipedia pages. Once these are stable they can be adapted to other nations and regions on that wikipedia. These can then be be used as a model by other wikipedias.