![]() Other useful resources about open government data and the civic hacking movement can be found at wiki.civic and opendata. ![]() Some links are only in the online version. In addition, I thank the Transparency Camp organizers, where much thought on this crystallized. I would like to acknowledge Justin Grimes, John Wonderlich, Jim Harper, Carl Malamud, David Robinson, Harlan Yu, and Gunnar Hellekson for their contributions to my thinking about our field. ![]() These limitations can all be explained by “write what you know.” Finally, a disproportionate number of examples in this book are taken from projects related to transparency for the U.S. Second, open government data is only a small part of the broader open government movement which encompasses classic open government (such as the Freedom of Information Act) as well as the newer fields of citizen participation and collaborative innovation. First, it is from a distinctly United States perspective both in terms of the history of the movement and in the expectations for government data given by the principles in Chapter 5. I should note several limitations of this book. The appendix includes excerpts of open data policy language and model language. This book is organized into chapters covering the movement and its history, examples and a typology of open government data applications, a brief legal history of open government data, principles and recommendations for creating open government data, and limitations in the use of data for government transparency. ![]() Topics include principles of open government data, the history of the movement, applications to transparency and civic engagement, a brief legal history, data quality, civic hacking, and paradoxes in transparency. The movement is framed as the application of Big Data to civics, where Big Data is not just the size of data but the ability for data to change the way we understand its subject. This book is about the principles behind the open government data movement and its development in the United States. ![]()
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