Data Driven for Non-profit
De Wiki de Ilan Chamovitz - Informatica, Administracao, Eng. Producao, Educacao, Tecnologia da Informacao
This study aims to understand how data can be used to improve service delivered by non-profit organisations.
NTEN: The Nonprofit Technology Enterprise Network is an international nonprofit organization based in the United States
Many publications: http://www.nten.org/research/index
Crisis Text Line is free, 24/7 emotional support for those in crisis. Our crisis counselors practice active listening to help people in crisis move from a hot moment to a cool calm – all through a medium they know and trust: text. Open Data Collaborations While we use data to make our products and services better–ie, make us a better company–we also believe our data can make a better world. There has not been a large comprehensive study on youth and mental health since 1997. There is almost no real-time open data on most mental health issues. And, very few data sets are as general (cutting across issues) or as large. Simply, Crisis Text Line has a unique and large set of data on teens and mental health that can (1) inform the public and media, (2) shape government and school policies, and (3) drive cutting edge academic research. We will offer 3 levels of data sharing (ie, open data). http://www.crisistextline.org/trends/ WATCH THE VIDEO https://www.ted.com/talks/nancy_lublin_texting_that_saves_lives#t-220442
Guide list http://www.guidestar.org/SearchResults.aspx
NTEN CHANNEL https://www.youtube.com/channel/UCELsvzsbs5yx4wdrXfOXzNw
http://dssg.io/blog/ Cases
How data science is helping charities save lives and their budgets https://gigaom.com/2013/10/08/how-data-science-is-helping-charities-save-lives-and-their-budgets/
DataKind™ harnesses the power of data science in the service of humanity. We engage data science and social sector experts on projects addressing critical humanitarian problems and lead the conversation about how data science can be applied to solve the world’s biggest challenges. Launched in 2011, DataKind is headquartered in New York City and has Chapters in Bangalore, Dublin, San Francisco, Singapore, the UK and Washington DC. http://www.datakind.org/howitworks/
http://www.newdea.com#sthash.LWY07qSj.dpuf http://www.treyzsocialmedia.com/watch-watched-realtime-tracking-tools-website/#sthash.LWY07qSj.dpuf http://dssg.io/2014/12/15/health-leads.html case
Beth Kanter'S Blog - How Does Your Nonprofit Use Data To Improve Results? http://www.bethkanter.org/org-use-data/ Beth says: August 10, 2011 at 9:26 am Other posts from NTEN on the topic: Data: http://www.nten.org/blog/2011/05/09/data-are-not-information http://www.nten.org/blog/2011/05/12/data-and-storytelling-6-ways-use-data-move-your-mission http://www.nten.org/blog/2011/05/05/listen-your-data-lessons-multi-lingual-text-message-campaign . Social Media Measurement: . http://www.nten.org/blog/2011/07/13/do-social-better-google-analytics-how-use-advanced-segments-track-social-media-performance http://www.nten.org/blog/2011/05/17/how-calculate-roi-your-online-ads
Peer Exchange Group 2: Measuring the Networked Nonprofit: Proving Results To Improve Orientation Call: July 13, 2011 - Beth Kanter, Visiting Scholar, Social Media and Nonprofits The David and Lucile Packard Foundation - Organizational Effectiveness Program http://www.slideshare.net/kanter/measurement-peer-group-2
Four Ways Nonprofits Can Increase Their Impact with Data - by Holly Ross, Executive Director, NTEN 1. Know What Data You Have and What it Means. 2. Give Your Data More Meaning 3. Make Your Data Tell Stories 4. Share Your Data Source: - http://www.nten.org/blog/2011/05/02/four-ways-nonprofits-can-increase-their-impact-data
Nonprofit Data Users: 3 Challenges to Overcome - by Adnan Mahmud, Founder & CEO, LiveStories; Co-founder, Jolkon Quantity vs. quality. A successful pipeline for nonprofits focuses on collecting great data, performing analytics to transform the numbers into knowledge, and then using the knowledge to improve programs. Most organizations are currently focused on improving their data collection methods, but very little effort is spent on their analysis. We need to look at the whole data pipeline to ensure we create the best combination of quantity and quality for nonprofits. Imperfect tools. Data analysis tools were originally built for Fortune 500 companies, then handed down to nonprofits under the guise of Corporate Social Responsibility (CSR). But when it comes to data needs and usage, nonprofits are very different from businesses: The average nonprofit user is far less technologically savvy than the average business data analyst. (While a data analyst working in banking knows "pivot tables," most people don't know what they are, let alone how to use them for analysis.) We need tools that are easier to use and tailored to gathering data relevant for 501c3 organizations. Funding priorities. Nonprofits are mindful of pleasing our donors and grantmakers so that we can secure funding for programs and operations. Some foundations have now prioritized monitoring and evaluation practices to track their grantees' work, but most do not employ a rigorous evaluation practice or understand the value of helping nonprofits ramp up their data tools. Funders can play a strong role in encouraging their grantees to become more data-driven, such as by tying future grant approval to rigorous monitoring and evaluation of implementation of existing grants.
