Summer Quarter Research Data Management Workshop @ UW Libraries

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?

From August 19-22 the UW Libraries is offering Research 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.

Note: We will be offering two concurrent versions of this class, one for health sciences researchers, the other for multiple disciplines outside of health sciences. When you register for the class, please indicate which version of the class you’d like to attend. Thank you!

Full course information and link to registration is below. Contact us with any questions.
If you have any questions, please feel free to contact the Data Services Team.

Research Data Management Planning Workshop

A free, tutor-supported online learning workshop

August 19-22, 2019

Duration: Monday, August 19 - Thursday, August 22 (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 construct an effective data management plan for your data and will provide information on tips and tools to help with your research data needs.
• By asking students to share experiences with one another, this workshop provides the space and opportunity for you to reflect on your skills and to see how various techniques and tools can be employed to help you build your data management plan and most effectively 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 August 16, 2019.
• 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.

Comments from previous class participants:

• This is a great workshop -- exposing me to a lot of considerations about data management that I did not know about. The tutor responses have been really helpful. I was unaware of the data librarians on campus and will definitely reach out to them for more resources. Thank you!
• Very helpful and important for anyone working with data.
• I was really impressed with this workshop. It had so many wonderful resources and I learned a lot. The tutors were fantastic. ... The materials were great and easy to understand as well. It was good to know I'm heading in the right direction with data management and know how to really improve my data management. I come from an interpretive/qualitative background and often this type of research activity is learned on the job or through learning what not to do the next time around, so having this type of workshop can really help people like me prepare a lot better for the next big project. Thank you for all your hard work!

June Workshop: Writing reproducible and executable scientific papers with R and Python

The eScience Institute Special Interest Group on Reproducible Research and Open Source Software and the UW Libraries are pleased to announce a joint workshop on "Writing reproducible and executable scientific papers with R and Python." This workshop is the signature event of the two groups, and its goal is to increase the transparency and reproducibility of research conducted at UW. 

We invite UW researchers at any level (undergraduate, graduate, post-doctorate, staff, faculty, etc), from any part of campus who want to learn more about how to use cutting-edge technologies to make their papers and publications more reproducible. This workshop is aimed at researchers who write empirical journal articles and want to make it easier for others assess the validity of their work, reuse their work in new research, and enhance public trust in research.

The workshop will feature high-level overviews of, and hands-on tutorials with, these four technologies that support reproducible research:

• Binder with Chris Holdgraf: an open community and open-source in-browser cloud service that lets users create shareable, interactive, reproducible environments running a wide variety of interfaces (such as Jupyter or RStudio) based on the contents of the GitHub repository.
• Stencila with Nokome Bentley: a stand-alone platform for creating, collaborating on, and sharing data-driven content by writing documents with code cells that link to live output, and is accessible to non-coders
• Whole Tale with Craig Willis: an in-browser cloud service that provides a Juypter notebook or RStudio server instance based on the contents of a DataONE data repository
• Code Ocean with Seth Green: an in-browser cloud service that provides an environment for running code associated with scholarly publications, and can be embedded in online journal articles. Currently in use by Cambridge University Press and Taylor & Francis

Goals

This workshop has three goals:

• To showcase the state-of-the-art tools for writing computationally reproducible research. That is, how to write papers and reports in ways that include the computer code used to generate the results described in the document.
• To provide hands-on tutorials in how researchers can use their tools in their own work
• To collect feedback from researchers and look for opportunities for interoperability between the existing tools.

Register Here: https://www.eventbrite.com/e/writing-reproducible-and-executable-scientific-papers-with-r-python-registration-61060854660

Tentative Schedule – Monday June 10th (OUG 220)

8:30 – 9:00AM – Registration Table Opens

9:15 – 10:00AM – Keynote presentation by Simine Vazire (Professor of Psychology at the University of California, Davis)

10:00 – 10:15AM – Morning tea (provided)

10:15 – 10:45AM – Lightning talks from UW researchers using executable notebooks

10:45 – 11:45AM – Presentation: High-level overview of Binder

11:45AM – 12:45PM – Presentation: High-level overview of Stencila

12:45 – 1:45PM – Lunch (provided)

1:45 – 2:45PM – Presentation: High-level overview of Whole Tale

2:45 – 3:00PM – Afternnon tea (provided)

3:00 – 4:00PM – Presentation: High level overview of Code Ocean

Tentative Schedule – Tuesday June 11th

9:00AM – 12:00PM (Rooms TBD) – Parallel in-depth tutorials

12:00 – 1:00PM – Lunch (provided)

1:00 – 3:00PM (OUG 220) – Panel discussion on common issues for tooling: interoperability, metadata for containers, archiving and persistent identifiers

3rd Annual UW GIS Symposium

Campus GIS users:

On Tuesday, May 14th the UW Libraries is hosting the 3rd Annual UW GIS Symposium in the Research Commons and we need presenters!

We're looking for UW students, faculty and staff to give lightning talks or poster presentations on their GIS-related research or other projects. Submissions will be reviewed as they are submitted; space is limited. Deadline for submission is May 4th. Submit your lightning talk or poster presentation proposal here: http://www.lib.washington.edu/commons/events/GIS_Symposium_2019/proposal.

UW GIS Symposium info:

Date: Tuesday, May 14, 2019

Time: 9am - noon

Place: UW Libraries' Research Commons

Website:  http://www.lib.washington.edu/commons/events/GIS_Symposium_2019

UW faculty and staff: please share this call for submissions with your students and encourage them to present.

We hope you will join us!