Detailed Schedule

Location: DTU Library

Recent studies suggest that there will be a shortfall in the near future of skilled talent available to help take advantage of big data in organizations. Meanwhile, government initiatives have encouraged the research community to share their data more openly, raising new challenges for researchers. Librarians can assist in this new data driven environment.

Data Scientist Training for Librarians (DST4L) is an experimental program with the purpose of training librarians to respond to the growing data needs of their communities. In the program, librarians familiarize themselves with the research data lifecycle, hands-on, using the latest tools for extracting, wrangling, versioning, analyzing, and presenting data. By experiencing the research data lifecycle themselves, becoming data savvy and embracing the data science culture, librarians can begin to imagine how their services might be transformed.

In this session I will provide a brief background on how DST4L came to be and where it might be headed. I will also provide context to why it is helpful for librarians to have this hands-on experience.

Christopher Erdmann will also be available to facilitate the DST4L 2016 workshop days.

Location: DTU Library

Presentations by data scientists - with examples of how they work with data in their research, dealing with several aspects of visualising, accessing and handling data.

Henriette Roued-Cunliffe, from IVA will present “The importance of open heritage data”.

She will present the current discussion on open heritage data in relation to GLAM institutions. This includes 5 questions that can be used to analyze the extent of open heritage data and what it looks like for galleries, libraries, archives and museums.

Pedro Parraguez Ruiz, from DTU Management will present “A data-driven, interactive and visual exploration of networked knowledge landscapes”

In this presentation he will explore the implications and applications of using current existing academic data, such as the one found i PURE repositories, using network analysis, Tableau and a good deal of creativity.

Location: DTU Library

In this session Thomas and James will introduce you to two different approaches to grappling with library data.

First, we will use the UNIX command line to count and mine tabular data. Second, we will use OpenRefine to batch edit and normalise tabular data.

We will conclude by introducing you to a range of common challenges that come up when working with digital data and that can be solved buy building on the command line skills you have already learned. The aim of the session is to get you from having some data and having no idea what you can do with it, to having some data and having an idea of where to start.

Location: DTU Library

A day with hands-on workshop with Git / GitHub.

Location: DTU Library

Git is a collaboration platform, embraced and loved by software developers. Making it useful to librarians could be seen as the effort of turning - whatever a librarian do - into code. T​his talk will give some surprising perspective ​on what that could be :)

Location: DTU Library

A day with hands-on workshop with Git / GitHub

Location: DTU Library

This talk will offer a critical perspective on some of the most common techniques used to collect data from the internet and social media platforms–with particular concern for how these techniques potentially influence (i.e., bias) our analyses. While the talk will rely heavily on examples from Twitter, we will also consider how these same issues affect data collection from other platforms.

Software: Participants should have Google Chrome and install the free Chrome extension Web Scraper

Location: DTU Library

A hands-on workshop on how to use a powerful and intuitive visualization tool that allows to create a variety of visualizations. in this introductory session a detailed description of Tableau interface and terminology will be presented. Furthermore, different examples of filtering, grouping, sorting and hierarchizing the data in order to create basic and advanced charts will be shown.

Moreover, the workshop will also explore the basics of map visualizations and active dashboards that can be used later on for data analysis.

Location: DTU Library

Libraries are not just book archives. They are information intermediaries - places where people look up digital designs for 3D printing, combine Open Data sources to perform cognitive analytics, use video to bring the world to remote audiences, and work with automated manufacturing to reduce carbon emissions through local production. Data and Information are at the heart of the 21st Century Library and we’ll explore what that means in this presentation.

Steven Adler will give this final informal keynote while workshop attendees have a glass of wine or a beer.

Location: DTU Library