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Updated: 45 min 34 sec ago

Donuts are BACK!

Mon, 08/28/2017 - 3:28pm

Research Data Services is delighted to host another semester of the popular Data & Donuts workshop series. There is plenty of new content as well as some old favorites — all aimed at promoting good practice in managing research data from project planning to long-term archiving.

All workshops will be on Fridays at 3:00pm in the The Perry-Castañeda Library (PCL). Dates and details below:

Managing Research Data: A Guide to Good Practice
Jessica Trelogan
September 8
PCL Learning Lab 4

Sweet Technical Details (from ITS)
Angela Newell
September 15
PCL Learning Lab 4

Cleaning Data with OpenRefine
Jessica Trelogan
September 22
PCL Learning Lab 4

Metadata Basics
Melanie Cofield
September 29
PCL Learning Lab 3

Introduction to Data Visualization
Allyssa Guzman and Sarah Morris
October 6
PCL Learning Lab 3

Introduction to R and the Tidyverse
Spencer Fox
October 13 (2 hours)
PCL Data Lab

Introduction to Tableau
Bonnie Brown Real and Krystal Wyatt-Baxter
October 20
PCL Learning Lab 4

Archiving and Publishing Research Data with the Texas Data Repository
Jessica Trelogan
October 27
PCL Learning Lab 4

Working with Geospatial Data
Jessica Trelogan
November 3
PCL Learning Lab 4

Call for workshop papers — Computational Archival Science: digital records in the age of big data.

Mon, 07/24/2017 - 1:13pm

The workshop will be held on Wednesday, December 13, 2017 in Boston, MA, USA, in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017).

See call for papers at: http://dcicblog.umd.edu/cas/ieee_big_data_2017_cas-workshop/

***** Submission Deadline: October 10, 2017 *****

The large-scale digitization of analog archives, the emerging diverse forms of digital records and systems, and new ways of engaging with archival material using technology, are resulting in disruptions to traditional archival theories and practices. Increasing quantities of ‘big archival data’ present challenges for the practitioners and researchers who work with archival material, but also offer enhanced possibilities for use and scholarly exploration through the application of computational methods and tools.

This workshop will explore this conjunction of emerging methods and technologies around digital records and big data with archival theory and practice, and will examine new forms of records generation and historical, social, scientific, and cultural research engagement with archival institutions. We aim to identify and evaluate current trends, requirements, and potential in these areas, to examine the new questions that they can provoke, and to help determine possible research agendas for the evolution of computational archival science in the coming  years, as well as addressing the questions and concerns scholarship is raising about the interpretation of ‘big data’ and the uses to which it is put.

Full papers, of up to 10 pages, should be submitted via the online submission system at https://wi-lab.com/cyberchair/2017/bigdata17/scripts/ws_submit.php. We also encourage submission of short papers (up to 6 pages) reporting work in progress. The submission deadline is October 10, 2017. All papers accepted will be included in the proceedings published by the IEEE Computer Society Press.

The workshop builds on a number of recent developments in Computational Archival Science (see: http://dcicblog.umd.edu/cas/), and in particular on the 1st Computational Archival Science workshop at IEEE Big Data 2016 (see: http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/), which attracted a range of professionals and researchers, both from the DC area and internationally.

For more information, see the full workshop Call for Papers at http://dcicblog.umd.edu/cas/ieee_big_data_2017_cas-workshop/

 

Welcome Erika Boghici!

Wed, 06/14/2017 - 10:39am

I’m delighted to announce that UT Libraries has a new GIS and Geospatial Data Coordinator, Erika Boghici, on staff. Erika has a strong background as a GIS professional with long experience in geospatial data collection, analysis, and the development of information products. She will be expanding our Research Data Services to offer campus-wide support for geospatial research, teaching, and learning.

Welcome, Erika!