Tuesday, January 17, 2017

UW Data Science Career Fair

Thursday, February 2: 12-5pm HUB North Ballroom

The event is open to postdocs, graduate, and undergraduate students with priority given to students and postdocs part of the various data science options and programs on campus. To attend, students must register using the following link:
This event is made possible by the following sponsoring Departments: the eScience Institute, the Department of Computer Science & Engineering, the Department of Applied Mathematics, the Department of Biology, the Department of Human-Centered Design & Engineering, the Department of Statistics, the Information School, the UW Institute for Neuroengineering, and the UW Master’s in Data Science Program

Tuesday, January 10, 2017

Winter Quarter Data Management Planning Workshop

Do you create or use data in your research? Looking for tips and tools to better help you manage your research data, and preserve it for long-term use?

On January 30, the UW Libraries is offering Data Management Planning, an asynchronous online workshop for UW community members engaged in research with data. Topics will include getting started with data management planning, funder requirements for data sharing, metadata, tips to help keep you organized, sharing, archiving and preservation, and an introduction to tools and on-campus support to aid researchers.

Full course information and link to registration is below. Contact us with any questions.

Data Management Planning Workshop
A free, tutor-supported online workshop
January 30 - February 2, 2017

Duration: Monday, January 30 - Thursday, February 2 (4 days)
Time Commitment: Approximately 30 minutes to 1 hour per day, for 4 straight days
Target audience: UW community members engaged in research with data.
Prerequisites: Access to the internet for each of the 4 days identified. A valid UW NetID is also required.

Description:
  • This module-based workshop consists of activities and peer discussion forums that will provide tips on how to effectively plan for data management over the lifecycle of your research project.
  • By asking students to share experiences with one another, this workshop gives you the opportunity to reflect on your research workflow and to see how various techniques and tools can be employed to most effectively manage, share and preserve your data.

Participation Process:
  • This workshop will take place in Canvas over 4 days, with no fixed participation times (asynchronous).
  • Each day corresponds to one online module, which includes a topic overview, resources, activity, and peer discussion forum.
  • Discussion forums are the workshop's primary means of 'assessment,' so expect to post to forums daily.
  • You will be guided through the course by a team of friendly librarian tutors, who will answer questions and provide feedback.

How to Join:
  • If interested, please register via this Catalyst link no later than Friday, January 27, 2017.
  • Space in the workshop is limited, and participants will be accepted on a first-come-first-served basis. Students who register after capacity is reached may be placed on a wait list.

If you have any questions, please feel free to contact the Data Services Team.

Monday, January 9, 2017

UW Data Science Seminar: Paul Ginsparg

January 18, 2017 3:30 in Johnson 102

Paul Ginsparg, Professor of Physics and Information Science at Cornell University, will be presenting “Adventures in Little Data” at next week’s Data Science Seminar. The Data Science Seminar is free and open to the public.

"I will give a very brief sociological overview of the current metastable state of scholarly research communication, and then a technical discussion of the practical implications of literature and usage data considered as computable objects, using arXiv as exemplar. From the physics standpoint, there is a surprising amount of statistical mechanics in text-mining and machine learning."

Tuesday, January 3, 2017

Data Management Plan Tool







Do you need a data management plan to include with your grant proposal? The University of Washington teamed up with the California Digital Library to offer you just the tool. DMPTool walks users step-by-step through the requirements for a variety of funding agencies, provides examples, and exports a text-based data management plan that can easily be inserted into a grant.


Video made available via CC-BY license from the California Digital Library.

To get started, visit DMPTool's log-in page, choose the University of Washington as your institution, and enter your NetID and password.

Monday, December 12, 2016

ORCID

Do you have an ORCID iD? ORCID stands for Open Researcher and Contributor Identification and is used to uniquely identify you and your research.


Video made available by ORCID Support.

ORCID iDs make it possible to distinguish your work from researchers with similar names and initials. PLOS now requires ORCID iDs for researchers, and ORCID iDs allow you to track the impact of your work through a variety of online tools such as:


Registering for an ORCID iD is simple and you do not need to be a published author to sign up for an account. In fact, the sooner you get your ORCID iD, the easier it will be to track your work. To register for your ORCID iD:
  1. Visit ORCID's Registration Page and provide the required information
  2. Receive an e-mail from ORCID and verify your e-mail address
  3. Add additional information to your ORCID profile (OPTIONAL)
  4. Use your ORCID iD!


Monday, November 14, 2016

UW Data Science Seminar: Matthew Salganik

November 16, 2016 3:30 in Johnson 075

Matthew Salganik, Professor of Sociology at Princeton University, will be presenting “Social Research in the Age of Big Data” at this week’s Data Science Seminar. The Data Science Seminar is free and open to the public.

The digital age has transformed how researchers are able to study social behavior. These new opportunities mean that the future of social research will involve blending together insights from two communities: social scientists and data scientists. In this talk, I'll begin by describing what I think each community has to contribute and what each community has to learn. Then, I'll focus on this social science/data science hybrid in one particular domain where I see a lot of opportunities: survey research. The talk will conclude with some predictions about the future of social research.

Tuesday, November 1, 2016

UW Data Science Seminar: Rob Axtell

November 2, 2016 3:30 in Johnson 075

The UW Data Science Seminar, organized by the eScience Institute, iSchool DataLab, and CSE Interactive Data Lab, is a “university-wide effort bringing together thought-leading speakers and researchers across campus to discuss topics related to data analysis, visualization and applications to domain sciences.” Rob Axtell, Department Chair of the Krasnow Institute for Advanced Study at George Mason University, presents this week’s seminar entitled, “Computationally-Enabled Public Policy Using Comprehensive Data.”
The social sciences are being revolutionized today by two distinct forces, data and computing. The ability to perform controlled experiments, both in laboratory (small scale) and web-facilitated (large scale) settings, combine with natural experiments and digital exhaust type click-stream data to provide an unprecedented window into human behavior in a wide variety of social contexts. But just as significant is the increasing availability of administratively-complete micro-data that offer nearly comprehensive portraits of important social phenomena. Computational techniques and tools are essential for managing such data, and for creating models capable of explaining the data. Specifically, agent-based computing is an emerging technology for representing individuals engaged in social behavior and grounding them in micro-data. In this talk I will start with some background material on agent computing, discussing how the approach has been utilized for abstract models of social processes. I will then go on to describe two large-scale agent models that utilize individual-level data. A model of the U.S. housing market bubble that burst c 2006-7 will be described for the Washington, D.C. area. It involves some 2 million housing units overall with more than a million homeowners and some 500K mortgages. The model combines data on the housing stock (county sources), borrowers (Census), and mortgages (from mortgage service providers), and the model output is compared to MLS transactional data. We have investigated alternative policies for attenuating the size of the bubble. Then a model of the U.S. private sector, 120 million employees organized into 6 million firms, will be presented. This model uses data on the entire population of tax-paying firms in the U.S. and closely reproduces firm sizes, ages, growth rates, job tenure, wage distributions, and so on. In these models, aggregate phenomena emerge from the interactions of the agents without any pre-specification of what might happen. That is, social phenomena grow from the bottom up.

Thursday, October 13, 2016

Hacking the Academy: Open in Action

Come celebrate Open Access Week by learning how UW faculty and staff are working to keep their work open. The Hacking the Academy: Open in Action program will begin with four short talks, followed by time for discussion around the theme "Open in Action." Speakers include Rachel Arteaga (public scholarship), Steven Roberts (open science/open data), Dan Berger (public scholarship), and Justin Marlowe (open textbooks). Please join us October 26, 4-5pm in the Research Commons Green A! 

Wednesday, October 12, 2016

Big Data to Knowledge Webinars and Discussion Groups

The UW Health Sciences Library and Research Data Services are collaborating with the National Network of Libraries of Medicine/Pacific Northwest Region, to provide a monthly discussion group focused on issues around Data Science, with a focus on biomedical science. The discussion group will provide a venue for those interested in the National Institutes of Health’s Big Data to Knowledge “Guide to the Fundamentals of Data Science,” a series of online lectures given by experts from across the country covering a range of diverse topics in data science.
The online lecture series is an introductory overview that assumes no prior knowledge or understanding of data science, and will run all year, once per week, from 9-10am Pacific Time. The list of speakers through the beginning of 2017 is available online. Upcoming topics include Ontologies, Metadata, Provenance, Databases, Social Networking Data, Exploratory Data Analysis, and lots more.
Academic librarians and others interested in biomedical big data from around the Puget Sound are invited to join a monthly Friday discussion group on October 14, November 18 and December 16. The group will meet at 8:45am to watch the week’s BD2K online lecture, and then from 10-11am share insights or questions about that week’s topic, and previous lectures in the series. All discussion groups will be held in The Health Sciences Pacific Room.
Questions? Email Emily Patridge at ep001 (at) uw.edu.

Tuesday, October 11, 2016

UW Hosting Trial of Data-Planet Statistical Datasets


UW librarians, faculty, and researchers are invited to learn more about the power of Data-Planet Statistical Datasets, the largest repository of standardized and structured data. We have trial access to this database along with the others listed at http://guides.lib.uw.edu/research/db-trial. 

Data-Planet founder Richard Landry will highlight subjects and sources covered, along with functionality, features, and visualization tools. You’ll leave with tips for searching, manipulating, and exporting data from over 70+ government and private sources, covering 35 billion data points in 4.9 billion datasets. 

Please register for the UW Libraries Data-Planet Statistical Datasets Webinar on Thursday, Oct 13, 2016 12:00 PM PDT at:  https://attendee.gotowebinar.com/register/1191767628182916610 
Participate remotely or join a group viewing of the webinar: Suzzallo Library, RAD. Thunderbird Conference Rm. (if you don’t work in the UW Libraries, contact cass@uw.edu for info about this location). 

Please visit  online for additional information: 

Please contact Cass Hartnett at cass@uw.edu or Marcy Rothman at mrothman@data-planet.com with any questions or special requests! 

After registering, you will receive a confirmation email containing information about joining the webinar. We look forward to hearing your feedback!