2016 Programme

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0930 – 1015     REGISTRATION


1015 – 1200     SESSION ONE – Academic publishing in the 21st Century


Andrew Tattersall,  Information Specialist at The School of Health and Related Research (Now joining us remotely)

More than Numbers: Alternative Indicators of Scholarly Communications and Reach

Geoff Bilder, Director of Strategic Initiatives, CrossRef

The Citation Fetish

Citation has become a much practiced and little-understood ritual in scholarly communication. It is simultaneously aggrandised with quasi-magical career promotion properties and (paradoxically) trivialised when it is conflated with “linking.” Citation, like so much of scholarly communication, has become distorted. As we rush to make data and software “first class” research outputs in scholarly communication, we are in danger of building a citation cargo cult – where we emulate the surface features and rituals of traditional citation without providing a sound infrastructure for the future evolution of scholarly communication.

Mike Jones, Senior Product Manager, Mendeley

Research Data: Challenges and Opportunities

Preservation and accessibility of research data is one of the biggest issues currently facing science. Recent studies suggest that up 80% of original research data obtained through publicly-funded research is lost within two decades after publication. In response, funding agencies have introduced data-sharing mandates, requiring researchers to publish their data. In scientific publishing, concerns about the reproducibility of science and scientific fraud are increasing; sharing data leads to more transparency and trust. Furthermore for researchers themselves, sharing data adds to the possibilities for generating new findings. He’ll look at a range of solutions (Mendeley and others) that allow researchers to manage their data throughout their research lifecycle, and make their data available to and citable by others.

1200 – 1300      ****LUNCH****



1300 – 1500      SESSION TWO – A picture tells 1,000 words: data & information visualisation


Joanna Young, Director, Scientific Editing Company

Data & information visualisation: the good, the bad & the ugly

Designing good visualisations can be challenging and it is important to consider a number of factors before touching a computer. Data visualisation is a large field and different research projects will require different types of visualisations and software tools. This talk will cover a range of different data and information visualisation examples that are relevant to researchers.

Rebecca Kaye (Data visualisation specialist) & Pawel Jancz (Data developer specialist), NumberTelling

Seven principles of design

The principles underpinning good design can be a powerful tool when applied to information. In our talk, seven principles of design, we look at how you can apply these principles of design theory to your data so that you can see the story behind the numbers.


Ian Calvert, Senior Data Scientist, Digital Science

Data visualisation: early and often, the path to clean data. 

Visualisations are often an afterthought, or a nice-to-have added on at the end if you’ve got time. I’ll try and convince you to make visualisations an integral part of your workflow, and show how it can make not only your own life easier but improve things for the community as a whole.


Isaac Roseboom, Head of Insight at deltaDNA

What does it mean to be `data-driven’?

Modern companies love to claim that their decision making is `data-driven’ but very few have visibility of data beyond a few performance metrics. In this talk I will show how deltaDNA is helping games companies use data to understand how players interact with their products and drive design and marketing decisions from this.


1500 – 1530   ****COFFEE BREAK****


1530 – 1700     SESSION THREE – Profiles, sharing, engaging, publishing: online tools for researchers


Bianca Kramer & Jeroen Bosman

Of shapes and style: visualising innovations in scholarly communication

Changing research practices are reflected in the patterns of creation and usage of research tools. Analyzing and presenting these complex patterns greatly benefits from visualisation. In their “101 Innovations” project, Bianca Kramer and Jeroen Bosman have used a variety of visualisations from the very start. They will tell the story of changing scholarly communication using these visualizations.

Cuna Ekmekcioglu,  Senior Research Data Officer, Library & University Collections, The University of Edinburgh

Understanding and overcoming challenges to sharing personal and sensitive data

Researchers today are pressured to share their research data and make it accessible to other researchers as part of the scholarly/scientific record. But what if you have collected data about human subjects? Does the need for disclosure control about human subjects necessarily mean that your research data cannot be shared and re-used? For many researchers, the sensitivity of research data is one of the main barriers to data sharing. Fear of violating ethical or legal obligations, lack of knowledge about disclosure control and the time required to anonymise data to a suitable standard often prevent valuable datasets from seeing the light of day.

This presentation will touch on topics such as informed consent, anonymisation and pseudonomisation techniques, and what it means to be ethical with regard to data sharing about human subjects, including rich, qualitative data and research into social media content.


1700 – late        INFORMAL DRINKS RECEPTION, pub




We are delighted to announce that the venue for the 2016 ReCon Conference/Hackday will be:

The Edinburgh Centre for Carbon Innovation (ECCI)

High School Yards




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