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6 dataset lists curated by data scientists | Mortar Blog | Data Science at Scale Docs Blog 6 dataset lists curated by data scientists November 21, 2013 Scott Haylon Since we do a lot of experimenting with data, we’re always excited to find new datasets to use with Mortar. There are tons of resources throughout the web, but given our love for the data scientist community, we thought we’d pick out a few of the best dataset lists curated by data scientists. Below is a collection of six great dataset lists from both famous data scientists and those who aren’t well-known: 1) Pete Skomoroch most recently worked as a Research Scientist at LinkedIn. 2) Hilary Mason is a Data Scientist in Residence at Accel Partners (and one of Mortar’s advisors!). 3) Kevin Chai was most recently working as a research fellow for theCentre of Health Informatics at the University of New South Wales in Sydney, Australia. 4) Jeff Hammerbacher is Co-Founder and Chief Scientist of Cloudera. 5) Jerry Smith is Chief Data Scientist at 3i-MIND and an Adjunct Professor at NOVA Southeastern University. Tags

NatGeo Mapmaker Interactive Customize the map and save it to make it your own with bookmarks, drawings, labels, and more. To save your map, you will need to enter your email address and the system will send you a set of links to use to edit and share your map. Open San Diego City of Chicago | Data Portal 24 Data Science Resources to Keep Your Finger on the Pulse There are lots of resources out there to learn about, or to build upon what you already know about, data science. But where do you start? What are some of the best or most authoritative sources? Here are some websites, books, and other resources that we think are outstanding. If you want to see the latest trends and read analyses of what’s happening in the data science field… Flowing Data: On Flowing Data, Dr. If you want to learn more about data science… Open Source Data Science Masters: This site offers a free list of online classes and resources. If you want to join a community where you can ask questions and learn from fellow data scientists and analysts… Reddit Machine Learning Subreddit: With over 30,000 members, this site offers a wide range of people to connect with and to share challenges and solutions with. If you want the latest data science news… Data Science Weekly: Each Thursday, Data Science Weekly sends an email with the latest news and trends in data science.

Chart and image gallery: 30+ free tools for data visualization and analysis The chart below originally accompanied our story 22 free tools for data visualization and analysis (April 20, 2011). We're updating it as we cover additional tools, including 8 cool tools for data analysis, visualization and presentation (March 27, 2012) and Six useful JavaScript libraries for maps, charts and other data visualizations (March 6, 2013). Click through to those articles for full tool reviews. Features: You can sort the chart by clicking on any column header once to sort in ascending order and a second time to sort by descending (browser JavaScript required). Skill levels are represented as numbers from easiest to most difficult to learn and use: Users who are comfortable with basic spreadsheet tasksUsers who are technically proficient enough not to be frightened off by spending a couple of hours learning a new applicationPower usersUsers with coding experience or specialized knowledge in a field like GIS or network analysis. Data visualization and analysis tools

milwaukeedata Funding Support (Grant) Information in MEDLINE/PubMed An important aspect of scientific publication is the indication of funding support. The Medical Subject Headings (MeSH®), which is used by the National Library of Medicine® (NLM®) to describe the content of journal articles for MEDLINE®, includes Publication Types to identify financial support of the research that resulted in the published papers when that support is mentioned in the articles: Research Support, Non-U.S. Gov't Research Support, American Recovery & Reinvestment Act Research Support, U.S. Research Support, U.S. Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural These publication types are searchable in PubMed®. *Includes some citations having 2014 as date of publication. **More recent dates of publication are not complete due to publication cycles and processing times. ***These numbers are not intended to represent compliance with the NIH Public Access policy. NIH Support is data obtained with the following strategy: Funding Support - 2013Current Year

Getting started in data journalism: the first steps in a story Data journalism can be a daunting task for some, so Steve Doig, professor of journalism at the University of Arizona, ran through the first steps for delegates at the International Journalism Festival yesterday. Finding story ideas Data is everywhere now, he said, and most social issues or human interest stories will have some data tied to it somewhere. Stories on local beats may have patterns, so it is worth looking at the areas you are used to covering to spot them. If you're still stuck for a place to start though, Doig recommended getting inspiration from other projects or stories. "If there is some kind of social problem or criminal activity in one city, chances are it is going on in your city also," he said, so reporters could look at recent stories from further afield and see if they apply more locally. There are more explicit places to look though. And it does not always have to be serious stories, he said. Work backwards from your idea Get the data Clean the data Look for patterns | Open Austin