RESCHEDULED: UW Data Science Poster and Networking Session

Monday, Feb 21, 2017 | 3:00 pm – 5:00 pm
Location: Mary Gates Hall Commons 

The Data Science Poster and Networking Session is an opportunity for the University of Washington campus community and regional partners to present their activities and connect with others engaged in data-intensive discovery.

Are you engaged in research or teaching involving data-intensive discovery - either advancing the methodologies, or putting these methodologies to work in any field of discovery? Does you work require extracting knowledge from large, noisy, or complex datasets? Do you use advanced statistical techniques, advanced data management platforms, or advanced visualization methods in your work? Are you involved in inventing these advanced methods? If so, please register to present your work in this poster session!

Refreshments will be provided for all attendees. . . the costs of poster production will be covered. . . easels will be provided. . . This is an incomparable opportunity to network with others who are advancing the forefront of data-intensive discovery.

For details on poster requirements and further questions click here.

FlourishOA: Discover Open Access Options

As part of a team of Open Access (OA) publishing advocates, I am proud to announce FlourishOA, a new online service designed to help researchers identify credible and cost-effective OA journals that best fit their publication needs.

The push for free and easily-available access to published research has grown in the past decade, pressuring new and established publishers to explore alternative business models which allow for consumer access to content at no cost. In order to cover the costs associated with publishing, journals often assess Article Processing Charges (APCs), and many are not transparent about these fees. While a few OA journals do not charge APCs, most charge anywhere from several hundred to several thousand dollars. Researchers, funding agencies, and other stakeholders who strive to make research Open Access need a full accounting of the associated costs. FlourishOA gathers, curates, and visualizes APC data, alongside Article Influence scores (derived from Eigenfactor scores) to provide stakeholders with the information necessary to make the publishing decisions that benefit them the most.

Learn more about FlourishOA here and follow the project on Twitter for updates and new features.

(Bree Norlander is a Data Services Specialist for the UW Libraries Research Data Services and is finishing her MLIS degree through the UW iSchool. FlourishOA is a project out of the University of Washington DataLab and funded by a grant from the Alfred P. Sloan Foundation.)

RESCHEDULED: UW Data Science Career Fair

Rescheduled for Fall 2017
Thursday, February 2: 12-5pm HUB North Ballroom

Come to the first University of Washington Data Science Career Fair!

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.

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

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.

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.

Abstract

"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."

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.