samselOn Thursday, April 17 and Friday, April 18, Duke University will host a visit from Francesca Samsel, a visual artist who uses technology to develop work on the fulcrum between art and science.  Francesca works as Research Assistant Faculty in the Computer Science department of the University of Texas at El Paso, is a Research Affiliate with the Center for Agile Technologies at the University of Texas at Austin, and is also a long-term collaborating partner with Jim Ahrens’ Visualization Research Team at Los Alamos National Labs.

Francesca will give two presentations during her visit.  A presentation on Thursday afternoon for the Media Arts + Sciences Rendezvous series will address the humanities community and present recommendations for work with scientists and visualization teams.  A presentation over lunchtime on Friday for the Visualization Friday Forum will describe a variety of collaborations with scientific teams and address the benefits that can come from incorporating artists into a scientific research team.

Francesca’s visit is sponsored by Information Science + Information Studies (ISIS), with additional support from Media Arts + Sciences.  We hope you can join us for one or both of the presentations!

Creating Mutually-Beneficial Multiple-Outcome Collaborations
Thursday, April 17
4:15 pm (talk starts at 4:30)
Smith Warehouse, Bay 10 classroom (2nd floor – enter through Bays 9 or 11)
Drinks and light snacks provided

Many artists draw on the scientific community as sources for their work. Research community are exploding with rich material connected to our contemporary lives.  Given that art – science collaborations require weeks, realistically months, in a lab, shoulder to shoulder with the scientists, access is a huge barrier.  Francesca Samsel will discuss her history of collaborations with visualization teams and scientists, what worked, what didn’t and how to get in the door.

An Artist, No Thanks! Employing Design and Color Theory to Increase Clarity, Perception and Depth within Scientific Visualization
Friday, April 18, 2014
12:00p.m. to 1:00p.m. (lunch provided)
Levine Science Research Center, Room D106 (near the Research Drive entrance), in conjunction with the Visualization Friday Forum
Live stream

Francesca Samsel will discuss her ongoing work with Los Alamos National Labs, Research Visualization Team and why they hired an artist to help them design the next generation of scientific visualization tools.  Their recent work focuses on developing algorithmically generated color maps to extract the maximum perceivable detail within exa-scale data sets. She will also discuss collaborations with the Visualization Division of the Texas Advanced Computing Center; hydrogeologists, neurologists, environmental research teams and more.

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contest-reception-blog-01The second annual Duke Student Data Visualization Contest brought in another round of beautiful and insightful submissions from students across the university.  The judging panel of five members of the Duke community evaluated the submission based on insightfulness, broad appeal, aesthetics, technical merit, and novelty.  This year, the panel awarded a first place, second place, and two third place awards.

Each of these winners will be honored at a reception on Friday, April 4, from 2:00 p.m. to 4:00 p.m, in the Brandaleone Center for Data and GIS Services (Perkins 226).  They will each receive a poster version of their projects and an Amazon gift card.  The winners and other submissions to the contest will soon be featured on the Duke Data Visualization Flickr Gallery.

First place:

TrafficNetwork

US Passenger Traffic: Connectivity and Regional Integration, by S. Joshua Mendelsohn

Second place:

SennettDataVis

Mapping the 1968 Protest of the Venice Biennale, by Phia Sennett

Third place (tie):

Emily McLean - Relatedness between social groups of female baboons

Relatedness Between Social Groups of Female Baboons, by Emily McLean

Third place (tie):

Image_File_DATAVIS 2014

3D Visualization of Prostate Cancer in MRI and ARFI Imaging, by Tyler Glass

Please join us on the 4th to celebrate another year of exciting visualization work at Duke!

 

r_stats101How do you support 57,860 online students learning R and statistics ?  Late last fall, Data and GIS Services shared this challenge with Professor Mine Çetinkaya-Rundel and the staff of CIT as we sought to translate Professor Çetinkaya-Rundel’s successful Statistics 101 course to a Coursera class on Data Analysis and Statistical Inference.  While Data and GIS Services has supported Statistics 101 students for several years identifying appropriate data and using the R statistical language for their assignments, the scale of the Coursera course introduced new challenges of trying to provide engaging data to a very large audience without having the opportunity to provide direct support to everyone in the class.

In our initial meetings with Professor Çetinkaya-Rundel, she requested that Data and GIS create data collections for the course that would provide easy access in R and would include a range of statistical measures that would appeal to the diverse audience in the class.  The first challenge — easy access to R — required some translation work.  While R excels in its flexibility, graphics, and statistical power, it lacks some of the built in data documentation features present in other statistical packages.  This project prompted Data and GIS to reconsider how to provide documentation and pre-formatted R data to an audience that would likely be unfamiliar with R and data documentation.

The second challenge — finding data that covered a wide range of interesting topics — proved much easier.  The General Social Survey with its diverse and engaging questions on a wide range of topics proved to be an easy choice for the class.  The American National Election Studies, also offered a diverse set of measures of public opinion that suited the course well.  With these challenges identified and addressed, we spent the end of 2013 selecting portions of the data for class (subsetting), abridging the data documentation for instructional use, and transforming the data to address its usage in an online setting (processing missing values for R, creating factor variables).

As Professor Çetinkaya-Rundel’s class launches on February 17th, this project has given us a new appreciation of providing data and statistical services in a MOOC while also building course materials that we are using in Statistics 101 at Duke.  While students begin the Coursera course on Data Analysis and Statistical Inference, students in Professor Kari Lock Morgan’s Statistics 101 class will use these data in their on-campus Duke course as well.  We hope that both collections will reduce some of the technological hurdles that often confront courses using R as well as improving statistical literacy at Duke and beyond.

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Staff Expertise ChartConfused about Data & GIS Services?  Not sure what questions you should be asking us or what kind of services we provide?  Here’s one handy chart we’ve come up with to explain what exactly we cover in our consultations and workshops.

When it comes to picking what day to stop by our walk-in hours or knowing how much of the data life cycle our consultants cover, this graphic might be your first stop.  Whether it’s finding data, processing or analyzing that data, or mapping and visualizing that data, we have staff with expertise to help!

Still not sure who to approach or what kind of help you might need?  Just email askdata@duke.edu to get in touch with all of us at once.  Some questions can be answered quickly over email, but we’re also happy to schedule an appointment to talk in person.

 

DGSwkshpExplore network analysis, text mining, online mapping, data visualization, and statistics in our spring 2014 workshop series.  Our workshops provide a chance to explore new tools or refresh your memory on effective strategies for managing digital research.  Interested in keeping up to date with workshops and events in Data and GIS?  Subscribe to the dgs-announce listserv or follow us on Twitter (@duke_data).

Currently Scheduled Workshops

 Thu, Jan 9 2:00 PM – 3:30 PM  Data Management Plans – Grants, Strategies, and Considerations

 Mon, Jan 13 2:00 PM – 3:30 PM Webinar: Social Science Data Management and Curation

 Mon, Jan 13 3:00 PM – 4:00 PM Google Fusion Tables

 Tue, Jan 14 3:00 PM – 4:00 PM Open (aka Google) Refine 

 Wed, Jan 15 1:00 PM – 3:00 PM Stata for Research

 Thu, Jan 16 3:00 PM – 5:00 PM Analysis with R

 Tue, Jan 21 1:00 PM – 3:00 PM Introduction to ArcGIS

 Wed, Jan 22 1:00 PM – 3:00 PM ArcGIS Online

 Wed, Jan 22 3:00 PM – 4:00 PM Open (aka Google) Refine 

 Mon, Jan 27 2:00 PM – 3:30 PM Introduction to Text Analysis

 Wed, Jan 29 1:00 PM – 3:00 PM Analysis with R

 Thu, Jan 30 2:00 PM – 4:00 PM Stata for Research

 Mon, Feb 3 1:00 PM – 2:00 PM  Data Visualization on the Web

 Mon, Feb 3 2:00 PM – 3:00 PM  Data Visualization on the Web (Advanced)

 Tue, Feb 11 2:00 PM – 4:00 PM Using Gephi for Network Analysis and Visualization

 Wed, Feb 12 1:00 PM – 3:00 PM Introduction to ArcGIS

 Tue, Feb 18 2:00 PM – 3:30 PM Introduction to Tableau Public 8

 Tue, Feb 25 1:00 PM – 3:00 PM ArcGIS Online

 Thu, Feb 27 1:00 PM – 3:00 PM Historical GIS

 Mon, Mar 3 2:00 PM – 3:30 PM  Designing Academic Figures and Posters

 Tue, Mar 4 1:00 PM – 3:00 PM  Useful R Packages: Extensions for Data Analysis, Management, and Visualization
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Say you’ve been making hella maps or data stories all day. Now you need to move to your comfy work spot and you need your data to come with you.  If you use Duke’s CIFS, moving around is easy, and all of your files are already backed-up.

In this example we follow the researcher, Ms. Stu Fac-Staff.  Stu is part student, part faculty, and part staff at Duke University.  She needs a portable place for her data and wants easy access from her home, lab, and devices.  Stu also needs to easily share data with colleagues.  No problem!  Stu uses CIFS.

Here’s the scenario.  Ms. Stu Fac-Staff walks into the Data & GIS Lab in the Duke University Libraries with a flash drive full of data tables.  She gathers more supporting data and some advice about crunching the numbers.  Stu finishes her day with a visualization and map. (Proudly, Stu imagines this is going to get the A.  ”Is this grant worthy?” Stu asks herself.  ”You bet your NSF Application it is!”)  Meanwhile, her flash dive is now full and all she wants is to SAVE THE DATA, CONVENIENTLY for later retrieval back home. So Stu stores the data on the Duke Cloud (CIFS.)

How do I get the free CIFS Space and how much can I use/access?

How do I access the data from my device?

  • In the Data & GIS Lab, after using your NetID to login, open the Windows File Explorer and your CIFS space will be mapped as drive Z.
  • After you leave our Data & GIS Lab, all you have to do is “map the drive” on your own machine
  • Web – For easy distribution to colleagues, you might want to access or distribute your files through the web.  To do this, store the files in your ‘public_html‘ directory inside of your CIFS space.  Now the files can be downloaded via a web browser.  This method is, by default, open to the world; you may want to take additional steps to secure this public_html directory  (see below.)

    http://people.duke.edu/~NetID

     

Can I Secure the Data?

  • Are you trying to access your mapped drive from off campus?
    • Use the VPN directions
    • The CIFS protocol encrypts NetID/password but it does not encrypt your data stream over the Internet.  If you’re connecting from an unencrypted or untrusted network (e.g. wireless in the coffee shop), the VPN allows for a secure connection.
  • Did you put files in your public_html folder?
    • Unlike the default CIFS space, placing files in the ‘public_html’ directory means they become accessible to the world
    • You can control and limit access by following OIT’s “htaccess” instructions
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Student Data Visualization ContestData & GIS Services will soon be accepting submissions to its 2nd annual student data visualization contest.  If you have a course project that involves visualization, start thinking about your submission now!

The purpose of the contest is to highlight outstanding student data visualization work at Duke University. Data & GIS Services wants to give you a chance to showcase the hard work that goes into your visualization projects.

Data visualization here is broadly defined, encompassing everything from charts and graphs to 3D models to maps to data art.  Data visualizations may be part of a larger research project or may be developed specifically to communicate a trend or phenomenon. Some are static images, while others may be animated simulations or interactive web experiences.  Browse through last year’s submissions to get an idea of the range of work that counts as visualization.

The Student Data Visualization Contest is sponsored by Data & GIS Services, Perkins Library, Scalable Computing Support Center, Office of Information Technology, and the Office of the Vice Provost for Research.

For more details, see the 2014 Student Data Visualization Contest page.   Please address all additional questions to Angela Zoss (angela.zoss@duke.edu), Data Visualization Coordinator, 226 Perkins Library.

 

Dr. Christopher G. HealeyOn Friday, October 4, Dr. Christopher G. Healey will visit Duke University to speak at the Visualization Friday Forum.

Christopher G. Healey is an Associate Professor in the Department of Computer Science at North Carolina State University. He received a B.Math from the University of Waterloo in Waterloo, Canada, and an M.Sc. and Ph.D. from the University of British Columbia in Vancouver, Canada. He is an Associate Editor for ACM Transactions on Applied Perception. His research interests include visualization, graphics, visual perception, and areas of applied mathematics, databases, artificial intelligence, and aesthetics related to visual analysis and data management.

We hope you can join us at the Friday Forum!

Visualizing Tweet Sentiment
Friday, October 4, 2013
12:00p.m. to 1:00p.m. (lunch provided)

Levine Science Research Center, Room D106 (near the Research Drive entrance), in conjunction with the Visualization Friday Forum

During this talk I will discuss a new project that focuses on ways to visualize text, specifically short text snippets like those found in tweets, SMS text messages, or Facebook wall posts. Our visualizations present text collections using a combination of numerous approaches: sentiment analysis, topic clusters, tag clouds, affinity graphs, volume timelines, and sentiment heatmaps. A second aspect of this project involves web-based visualization. We are implementing our visualization tools in Javascript, HTML, and CSS, allowing us to distribute our visualizations through any modern web browser, without the need for plug-ins. This also offers an opportunity to assess the strengths and limitations of current web-based visualization and user
interface libraries.

We chose Twitter as a testbed for our techniques. Twitter’s publicly accessible APIs allow us to query collections of recent tweets for user-chosen keywords, or to tap into the real-time tweet stream—the “firehose”—to capture tweets by keyword as they are posted. To assess the practical usefulness and usability of our visualizations, we partnered with WRAL TV, the CBS/Fox network affiliate for the Raleigh, North Carolina broadcast region. WRAL ran our Twitter visualizations on their web site during the each of the recent U.S. Presidential debates. This allowed viewers to watch the debate, and at the same time to monitor the volume, sentiment, and content of tweets about the debate as they were posted in real-time. WRAL reporters used a modified version of the visualization tool to perform post-analysis of the captured tweet stream. Interesting findings were included in news stories they published following the debates.

 

Analyze, discover, manage, map, and visualize your data with Duke Libraries Data and GIS Services.  Our team of five consultants provides a broad range of support in areas ranging from data analysis, data visualization, geographic information systems, financial data, statistical software and data storage and management.  Our lab provides 12 workstations with the latest data software and three Bloomberg Professional workstations nearly 24/7 for the Duke community.

Data and GIS Workshop Series

All are welcome to the Data and GIS Workshop Series.  Analyze, communicate, clean, map, represent and visualize your data with a wide range of workshops on data based research methods and tools.  Details and registration for each class are available at the links that follow.  (Interested in keeping up to date with workshops and events in Data and GIS?  Just go to https://lists.duke.edu/sympa/info/dgs-announce and click on the “Subscribe” link at the bottom left.)

    Tue, Sep 3, 2013      1:00 PM - 3:00 PM    Introduction to ArcGIS    
    Wed, Sep 4, 2013     10:00 AM - 11:30 AM   Stata for Research    
    Wed, Sep 11, 2013    10:00 AM - 11:00 AM   Open (aka Google) Refine     
    Thu, Sep 12, 2013     1:00 PM - 3:00 PM    Analysis with R    
    Tue, Sep 17, 2013     1:00 PM - 2:30 PM    Introduction to Tableau Public 8    
    Thu, Sep 19, 2013    10:00 AM - 11:00 AM   Google Fusion Tables    
    Mon, Sep 23, 2013     1:00 PM - 2:30 PM    Introduction to Tableau Public 8    
    Tue, Sep 24, 2013     1:00 PM - 2:30 PM    Stata for Research    
    Mon, Sep 30, 2013    10:00 AM - 11:00 AM   Top 10 Dos and Don'ts for Charts and Graphs    
    Mon, Sep 30, 2013     1:00 PM - 3:00 PM    Introduction to ArcGIS    
    Tue, Oct 8, 2013      1:00 PM - 2:30 PM    Introduction to Text Analysis    
    Thu, Oct 10, 2013     1:00 PM - 3:00 PM    ArcGIS Special Topics: Geocoding & Proximity Analysis    
    Thu, Oct 17, 2013     1:00 PM - 3:00 PM    Historical GIS    
    Mon, Oct 28, 2013     1:00 PM - 2:00 PM    Designing Academic Figures and Posters    
    Tue, Oct 29, 2013     1:00 PM - 3:00 PM    Web GIS Applications

Data and GIS also offers instruction tailored to courses or research teams. Please contact askdata@duke.edu to schedule a session!

Data Management

Data Management Planning – DMPTool – Get 24/7 online help for your next data management plan, including information about Duke resources available for your data work.

Statistical Software Updates

Explore all of our Data and GIS Lab resources on our site at http://library.duke.edu/data/about/lab.html or come visit us on the second floor of Perkins Library.

Job Opportunities in Data and GIS Services

Data & GIS Services is hiring!  We have two open positions for student web programmers interested in working on data visualization projects.  See the Library Student employment page (http://library.duke.edu/jobs/students.html) for more information on how to apply.  (The job can be found by searching for requisition number ”DUL14-AMZ02″.)

New Data and Map Collections

CPS on Web (CPS Utilities Online)
CPS on Web is a set of utilities enabling you to access CPS data and documentation from this website.   You may make tables and graphs from the CPS data, download data extractions, make estimations, get summaries and statistical measures, search the documentation, and make your own variables as functions of the existing ones.

Global Financial Data
Global Financial Data is a collection of financial and economic data provided in ASCII or Excel format. Data includes: long-term historical indices on stock markets; Total Return data on stocks, bonds, and bills; interest rates; exchange rates; inflation rates; bond indices; commodity indices and prices; consumer price indices; gross domestic product; individual stocks; sector indices; treasury bill yields; wholesale price indices; and unemployment rates covering over 200 countries.

LandScan Global
The LandScan Global Population Database provides global population distribution in a gridded GIS format at 30 arc-second resolution (approximately 1×1 km cells). Oak Ridge National Laboratory developed modeling techniques to disaggregate and interpolate census data within administrative boundaries to create a GIS layer showing population distribution as accurately and as timely as possible. EastView provides this data to use in GIS software as a WMS (Web Mapping Service) or as a WCS (Web Coverage Service) to allow a user to incorporate population distribution into GIS mapping and analysis.

Contact Us

email: askdata@duke.edu
twitter: duke_data or duke_vis

 

Data and GIS Services is happy to announce the launch of new service designed to provide detailed data management planning help online.  As an increasing number of granting agencies require a data management plan as part of the grant application process, the DMPTool provides “an open source, web application that assists researchers in producing data management plans and delivering them to funders.” For Duke researchers, the tool provides constantly updated advice about how to complete a data management plan while simultaneously highlighting Duke resources available from a variety of data support providers for the planning, maintenance, and sharing of research data.

We hope that the DMPTool will streamline the grant writing process and help researchers make the appropriate connections to resources available both at Duke and beyond for data management planning.  We welcome your comments and suggestions on this resource.

DMPTool