Because good research needs good data


**All the workshops are now fully booked and there will be no "walk-in" registrations on the workshop days**

List of workshops

full details and programmes via links below

Wednesday 11 February

Thursday 12 February


Wednesday 11 February

**All the workshops are now fully booked and there will be no "walk-in" registrations on the workshop days**


Workshop registration will be open from 08.30 and will remain open all day

Workshop 1 - Half Day

09.00 - 13.00 followed by lunch

Free of charge - Invitation only

Automated capture of the environment in a sheer curation context

Appraisal [Download PDF]

PERICLES Extraction Tool and Significant Environment Information [Download PDF]

Automated Capture of the Environment in a Sheer Curation Context [Download PDF]

Organisers: PERICLES project staff from King's College & University of Liverpoool

The PERICLES project is a 4 year EU-funded FP-7 project aiming at promoting and enhancing reuse of information throughout the content lifecycle taking account of evolving semantics.
The workshop will present the initial research outputs of the PERICLES project  with respect to the automated capture of environment information, and proceed with working sessions where the participants will be able present and evaluate the possibility of use of the tool  (PERICLES Extraction Tool - PET) in their specific use cases. The final aim of this workshop is present the tool and its use to the community, and to collect useful feedback on the future research and developments plans for the tool, and more in general for the model for the ecosystem based on a dependency graph we are adopting in the project.


Workshop 2 - Full Day

09.00 - 17.00 including lunch

Data Carpentry: using APIs to access life science data available on the web

Draft Programme

Delegate fee £30

Organisers: Aleksandra Pawlik, University of Manchester & Data Carpentry

It has been established that the growing number of well-curated and publicly-available datasets can advance research progress in many domains. However, many researchers still lack the data analysis and management skills to most effectively use these datasets. Data must be accessed from remote repositories and large scale analysesconducted with command line tools or programming languages uch as Python or R. Data Carpentry workshops aim to teach these concepts, particularly to researchers with little computational experience.

The workshop is for anyone interested in learning more about using API's and R for accessing and working with life science data or for anyone interested in learning more about Data Carpentry workshops, to see if they would be useful for the researchers they work with in their communities. In particular, the workshop should be useful for anyone working with research domains supported by ELIXIR UK <>


  • demonstrate the power of programmatically accessing life science data
  • hands-on learning using API and ROpenSci packages
  • directly experience the Data Carpentry teaching style
  • discuss the applicability of Data Carpentry lessons in participants' own working context
  • hands-on experience on collaborative lesson development (via GitHub)


Workshop 3 - Full Day

09.00 - 16.00 including lunch

Comparing Notes: Training Librarians for Research Data Management and Open Science Support


Delegate fee £100

Organisers: Mariëtte van Selm, University of Amsterdam Library & Sarah Jones, Digital Curation Centre

A full day train-the-trainer style workshop showcasing five training courses for liaison librarians and other support staff on research data management and open science. The aim is to raise awareness of existing materials, give participants ideas for reusing or combining the content, and to share lessons to inform future training courses. By sharing freely available training materials and advice on how they could be best implemented, the workshop will enable other librarians and support staff to run their own courses more easily.

The workshop will begin with a series of brief presentations to introduce existing training courses and we will invite further contributions from the floor to hear about training initiatives in other countries.

The afternoon session will be more reflective. Initially a breakout discussion will consider the skills gaps and how these  are addressed via the presented courses. A panel session will also consider lessons learned from implementing the courses. Each presenter will be asked to share their top tips based on what worked well and what had to be adjusted as each course evolved. The event will close with details of where all the course materials can be found to encourage others to reuse them.


Workshop 4 - Half Day (pm) 

14.00 - 17.00 including lunch

Research at Risk: how can research data management become business as usual for UK universities?

Draft Programme

Free of charge

Organisers - David Kernohan & Rachel Bruce - Jisc

The half day workshop will outline the new Jisc research data management activity and engage the audience in discussion to get to know the developments but also to help to shape and inform them.

The workshop is intended for anyone interested in research data management, i.e. researchers, librarians, publishers, developers, funders, data managers, repository managers, research networks, research support professionals etc.

This workshop has three main objectives:

  • Present the Research at Risk plan to inform delegates what Jisc is now taking forward to support research data management in UK universities; this will include the results of our research data management roadmap for UK universities.
  • Share ideas for interventions with the international community.
  • Collect feedback and suggestions from a more global perspective & a wider audience to help to inform work and where possible to identify links and other relevant work that should be taken into account.

The ultimate aim is to ensure the relevant community is aware of the work underway and to help ensure the work under Research at Risk is cognisant of other international developments.


Thursday 12 February

**All the workshops are now fully booked and there will be no "walk-in" registrations on the workshop days**

Workshop registration will be open from 08.30 and will remain open all day

Workshop 5 - Half Day (am)

09.00 - 12.30 followed by lunch

Getting Started with Islandora

Getting Started with Islandora slides [Download PDF]

Organisers: Alan Stanley, Discovery Garden

Islandora is an open-source digital curation framework that provides out-of-the-box repository solutions for a wide range of digital content and research domains. Islandora combines the Drupal CMS and Fedora Commons repository software, together with additional open source applications (including Apache Solr), to deliver a wide range of functionality.

The workshop will provide users with an Islandora system overview as well as lead participants through the basic functions of an Islandora installation, including ingesting and managing digital assets, configuring search tools, exposing digital assets to external search services, as well as reviewing the new Islandora Scholar suite of tools intended for institutional and research data repositories.

Learning objectives for the workshop include:

  1. Users understand basic Islandora technologies, and sources for support and additional documentation
  2. Create a collection in Islandora, upload objects to the collection, and manage the collection using a suite of collection management tools.
  3. Users understand and have the opportunity to configure and leverage discovery features in a repository.

This session is a half-day workshop for all audiences and levels. No prior knowledge of Islandora or repositories is required. If users wish, they can come with a laptop computer and digital files to ingest and describe (PDF or image collections preferred)


Workshop 6 - Full Day

09.30 - 16.30 including lunch

Research Data Spring: tools and services for managing research data


Free of charge

Organisers: Rachel Bruce, Daniela Duca & Chris Brown - Jisc

Research Data Spring project is gathering and investing in technical tools, software and service solutions to support researchers' workflow, the use and managemet of their data. The initiative is part of the Research at Risk theme at Jisc.

The workshop will provide participants with full demos of the ideas posted on our online community page. We will also organise working groups to offer participants the opportunity to test and provide feedback to the project teams. Participants' suggestions could potentially influence the future development of these ideas, anticipating the pitches at the first sandpit workshop at the end of the month.

The workshop is intended for anyone interested in research data management, i.e. researchers, librarians, publishers, developers, funders, data managers, repository managers, research networks, research support professionals etc.


  • Present the Research Data Spring project, the concept behind the competition, the use of IdeaScale, sandpit workshops and iterative phases of development
  • Share ideas for technical tools and shared services for research data with the international community
  • Collect feedback and suggestions from a more global perspective for the ideas presented to allow more room for development before the sandpit workshop.

The ultimate aim is to test the ideas that came through with a wider audience and gain a first rough understanding of the impact that such technical tools and services can make also on the global scale.


Workshop 7 - Full Day

09.00 - 17.30 including lunch

A Big Data Investigation

Free of charge

Organisers: Mahendra Mahey, BL Labs


A hands-on event organised for everyone who wants to have a better understanding of how to explore, investigate, analyse and visualise large scale text and image datasets.

Research today is often data driven not just in the Sciences but also in the Arts and Humanities. However, Researchers, Librarians, Curators, Repository Managers often don’t have direct experience of working with data, especially at scale, and especially if that data is represented in forms other than columns of numbers. This one day event will provide you with an opportunity to:

  • examine a variety of large text and image datasets and gain an insight into the challenges of working with data at scale
  • get experience in using essential tools that enable you to explore, refine, cleanse, analyse and visualise data.
  • bring your own tools (if you prefer) to work with the data available
  • have the opportunity to compete for prizes in various categories, including best visualisation, most innovative analysis etc.

Please note that in order to use some of the tools in the workshop you will need to be able to install software on your laptop.

Programme and additional information