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Coyle Nathan

Coyle Nathan - Open Data For Everybody Using Open Data For Social Good - Paperback

Coyle Nathan - Open Data For Everybody Using Open Data For Social Good - Paperback

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Binding: Paperback
Description: What if I told you something that could empower our third sector and activists to enhance their capacity? From gathering evidence for funding tenders to campaigning for crucial social issues and much more? It's called open data yet many in social action remain unaware of it. Primarily shaped by corporate entities open data seems tailored only for technologists alienating the third sector. But in reality it's a powerful tool for social change bolstering civil society and creating resilient communities. This book argues a simple point: if open data and the digital aspects that support it aren't accessible to all then what is the point of it? In an age where technology should be seen as a fundamental human right it's time to rethink outreach. Deeply rooted in grassroots social activism this book explores a journey that led to collaborations with governments globally based on real hands - on work aiming to democratize open data. Through narrative storytelling we share insights best practices procedures and community - driven approaches. Regardless of your skill set or organization size from grassroots workers to third - sector professionals and government officers join us to reshape the perception of open data fostering change in neighborhoods. Open Data for Everybody: Using Open Data for Social Good is a love letter to open data's transformative power. To create solutions understanding the problem is crucial. This book seeks to return control to the real experts those living and working within our communities. Discover more at: www. opendataforeverybody. com
Title: Open Data For Everybody Using Open Data For Social Good
Author(s): Coyle Nathan
Publisher: Taylor & Francis Ltd
Barcode: 9781032715049
Pages: 188 Pages, 27 Halftones, Black And White; 27 Illustrations, Black And White
Publication Date: 6/14/2024
Category: Computer Science
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