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Building and Supporting Your Drupal Website: In-House, Outsourced, or Both?

NTEN

Do you have a team with some expertise in information architecture, taxonomy, and usability, a team with capacity to outline website specifications clearly? If change is a constant at your org and you are considering an outsourced model, you’ll need to know how responsive your potential Drupal shop or consultant is.

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Strengthen Your Community with a Knowledge Sharing Network

NTEN

Some are medium sized and open, but still centered around a discipline. If you open up comments to all users, you are going to get spammers. If you open up filesharing, you could expose your members to viruses, unhelpful or inappropriate content, or spam. We open every file submitted before publishing it to the website.

professionals

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Guest Post by Laura Norvig: Friendfeed As Nonprofit Technology Water Cooler

Beth's Blog: How Nonprofits Can Use Social Media

If you’ve created a listening strategy, whether it’s a vanity search on yourself or your org, or topics that you monitor, you can bring ALL of your listening into ONE place (see my slideshow for more tips on this). An incredible listening tool. Extremely easy to build lists to separate out the types of people you follow. If not, why not?

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NpTechTag Summary: Connected Conversations, Live Blogging, and Other Great Finds

Beth's Blog: How Nonprofits Can Use Social Media

Many useful observations and questions raised about how to analyze the tagging data we've collected and how to move from a folksonomy to a taxonomy. After a brief hiatus from blogging, the studio 501c blog with some great advice for nonprofits on how to explore org.20 20 practices. Anil Dash , of Sixapart , was one of the speakers.

Summary 50
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Report Back from the Do Good Data Conference 2015

NTEN

The 20-person department pulls the information from scanned PDFs of the filings, enter the information into their database, and classify the information in the Foundation Center taxonomy. org , was such a great speaker that I forgot to take notes. org blog a lot. Mullainathan described the evolution of machine learning.

Data 36