Here is a Storify of #ReCon_16 Twitter activity.
All available slides thus far are in this figshare Collection.
SESSION ONE – Academic publishing in the 21st Century
Moderated by Graham Steel
Andrew Tattersall, Information Specialist at The School of Health and Related Research
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.
SLIDES TO FOLLOW
SESSION TWO – A picture tells 1,000 words: data & information visualisation
Moderated by Joanna Young
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.
VIDEO AND SLIDES TO FOLLOW
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.
SESSION THREE – Profiles, sharing, engaging, publishing: online tools for researchers
Moderated by Graham Steel
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.
Many thanks again to our Audio/Visual assistant for the day, Peter Doris of Nexus Digital Media for filming the Conference.
And a thank you to our amazing sponsors!