• Introduction
• Introduction
• Data-driven research
• Data literacy
• Introducing data
• Types of spending data
• Reference data
• Machine-readable and useable data
• Working with data
• The data processing pipeline
• Getting data
• Cleaning data
• Analysis
• Presentation and engagement
• Framing: topic, objective, audience
• Engaging the public online
• Case study: BudgIT
• Working with others
• Why collaborate?
• Using technology in your work
• Countering arguments against publishing data
• Appendices
• About this book
• Privacy guide
• Resources
• Glossary

Resources

There are a variety of resources that you can use to accomplish some of the technical tasks described in the book. Some are geared towards users who are already experienced in a programming language, and some can be used by those with no experience. Most are helpful with analyzing and visualizing data.

For analysis and research

• R - Statistical computing software: http://www.r-project.org/ (Open Source)
• Internet Archive Wayback Machine - retrieve previous verisons of a website: http://archive.org/web/web.php
• GeoNames - maps names of places to geographic data: http://www.geonames.org/
• UN Classifications of the Functions of Government (COFOG): http://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=4
• OECD DAR and CRS Code List - used to codify donors and agencies of aid funds: http://www.oecd.org/dac/aidstatistics/dacandcrscodelists.htm 

For visualisation and cleaning 

Free and Open Source:

• Image editing with GNU Image Manipulation Program (GIMP): http://www.gimp.org/
• CSVKit - Python library for slicing and dicing csvs: http://pypi.python.org/pypi/csvkit
• Nominatim - Reverse geocoding: http://wiki.openstreetmap.org/wiki/Nominatim
• D3 javascript library: http://d3js.org/,
• Raphael javascript library: http://raphaeljs.com/,
• Rickshaw javascript library: http://code.shutterstock.com/rickshaw/
• Natural Language Toolkit (NLTK): http://nltk.org/
• TileMill - quick and beautiful maps: http://mapbox.com/tilemill/
• OKFN recline javascript library for data management: http://reclinejs.com/docs/tutorials.html
• Miso javascript library for data management: http://misoproject.com/
• ScraperWiki - Community scrapers hosted and run on a schedule: https://scraperwiki.com/
• OKFN messy tables: http://okfnlabs.org/blog/2012/10/22/messytables.html
• OKFN BubbleChart: http://blog.okfn.org/2011/06/29/new-visualisations-for-openspending/

Others

• Google Fusion Tables - Combine different datasets on a single column: http://support.google.com/fusiontables/answer/2571232/?hl=en&
• Tumblr - easy blogging platform for quick sharing of visualizations and infographics: https://www.tumblr.com/
• Google Refine : http://code.google.com/p/google-refine/wiki/DocumentationForUsers
• Google Charts - Good for HTML/JS developers: https://developers.google.com/chart/