Diverse climate change data in DataShare’s newest thematic collection

‘Code red for humanity’ was the galvanising message of the sixth report of the Intergovernmental Panel on Climate Change published on 9 August. The report draws on thousands of academic research projects. Research data is vital to understanding the nature and scale of the challenge of climate change, and the necessary deployment and application of solutions.

We decided to draw together the datasets relating to climate change to showcase them on a single Collection page on Edinburgh DataShare, our research data repository. In part this was prompted by a new deposit from Oliver Escobar in the School of Social and Political Science – data from citizens’ assemblies debating wind farms. Our DSpace repository allows us to ‘map’ an Item to Collections other than the one to which it belongs, resulting in the dataset being listed in more than one Collection. Edinburgh DataShare contains a wealth of research datasets from an extremely diverse array of academic disciplines, reflecting the strengths of the University of Edinburgh, and so it is with our climate change research:

Climate Change Collection

We added many datasets from our School of Geosciences: one dataset from Ian Goddard and Professor Simon Tett demonstrated how urbanisation has affected temperatures in the UK, and includes a map showing heat islands around our major cities. Professor Tett said:

“To truly understand how climate change might impact society we need to bring together many datasets developed by many researchers so that other researchers can use them for their own studies. DataShare enables this.”

Goddard, Ian; Tett, Simon. (2018). “Software and data used in the study ‘How much has urbanisation affected temperatures in the United Kingdom'”, 1990-2017 [software]. University of Edinburgh. https://doi.org/10.7488/ds/2370.

Climatological data and toolkits for public engagement around climate and natural resources came from Professor Marc Metzger – including various kinds of maps, a board game and posters showing natural resources.

One dataset was a description of an artwork, a quilt representing global temperature measurements. Posters on the wall show the years, so as to provide a time axis for the temperature data represented in the colours of the patches in the quilt:

Photo of quilt hanging on the wall of an exhibition space

World temperature quilt on display at the Data-X exhibition

Zaenker, Julia; Vladis, Nathalie. (2017). Feel The Heat – A World Temperature Data Quilt, [image]. University of Edinburgh. EDINA. https://doi.org/10.7488/ds/1998.

Another theme was renewable energy – we included data from our School of Engineering on tidal turbines, and recent wave buoy experimental data:
The big 3-0-0-0: DataShare reaches three thousand datasets

All this raises the question – why bring these data together, what for? Do the datasets measuring and defining the problem really belong with the research working on technology to reduce greenhouse gas emissions? To answer this, I think the analogy of our other thematic collection on Covid-19 is apt. To develop and implement effective treatments and public health responses to Covid-19, we do need to understand a great deal about the cause, the pathogen and the pathology it creates. We should strive to break down barriers between domains of knowledge. So yes, to tackle climate change more effectively, we should all seek to better understand the underlying processes and the behavioural and technological solutions we must employ.

By bringing together research data from diverse teams in a single DataShare Collection, we empower the user to browse those datasets using the ‘facets’ feature in DataShare, or indeed a text search within the Collection. The user can filter by geography, by data creator’s name, by keyword, funder (see the screenshot below) or they can choose their own search term. When they reach an individual dataset, the breadcrumb trail at the top of the page can lead them into the original Collection where the dataset was first deposited, leading them to other work from the same research group, centre or School. This is one small way for the curation team to enhance the findability of the data. Scientists tell us there are challenges posed by the plethora of formats and programming languages used, even within disciplines. We hope that by making the connections and common themes between these different strands of research from different disciplines more visible, we make the data more findable, and perhaps hope to inspire new research questions or approaches.

a screenshot from the Collection page

DataShare’s facets

A word about DataShare’s structure: we find our depositors prefer to place their data in a Collection that reflects the organisational placement of their research group – typically the Collection represents the research group, and sits within a Community representing a research centre, sitting within a Community representing a School, sitting within a top-level Community representing a College:
DataShare structure

If you would like to suggest a theme for a new thematic Collection on DataShare, please contact the Research Data Support team:
Research Data Service | Contact

The RDS team, like all the University of Edinburgh’s teams, has a remit to address climate change as the university is committed to contributing to the UN’s Sustainable Development Goals, including no. 13 “Take urgent action to combat climate change and its impacts”:
Social Responsibility and Sustainability | The University of Edinburgh

We can all learn more about how we can take that urgent action effectively on the university’s amazing and inspiring “Climate Solutions” MOOC, available on edX:
Climate Solutions | edX 

I recommend anyone to take this course – it is free of charge, it’s fun, it is easy to fit around other commitments. I’ve nearly completed the coursework and already passed thanks to my quiz scores, got my nice PDF certificate signed by Professor Dave Reay. The Climate Solutions MOOC inspired me to create the Climate Change thematic Collection and it has really opened my eyes to the scale and nature of the challenge, and many actions we all need to take to contribute to halting the rise in global temperatures. Everyone has their part to play.

Pauline Ward
Research Data Support Assistant
Library & University Collections
University of Edinburgh

Data Mindfulness training integrated in new resources

The Research Data Service is pleased to announce an update to our ‘Data Mindfulness: Making the Most of Your Dissertation Data’ training materials.

Originally developed to provide face to face research data management (RDM) training for undergraduate students undertaking a dissertation project, the newly revised course is now available as one of ten units within the Library’s new LibSmart II training course.

‘Data Mindfulness: Your Dissertation Data‘ combines videos, reading material, and short interactive exercises to help students think about data management issues as they prepare to undertake a research project, potentially for the first time.

The course is designed to follow the research journey from beginning to end, from developing a research question and conducting a literature search, through to generating and managing project data and files during the life of the project and beyond.

The ‘Data Mindfulness’ unit provides an approachable introduction to the subject of RDM, with up-to-date and relevant information and guidance for undergraduate and masters students. The updated content also includes expanded material on finding and accessing secondary data sources, as well as links to wider training and resources provided by the Library.

You can find more information about the new LibSmart II course, and how to enrol here: https://www.ed.ac.uk/information-services/help-consultancy/rm-and-consultancy/academic-support-librarians/libsmart.

In addition to LibSmart II, we are also pleased to be working in conjunction with the Research Training Centre, based in the School of Social and Political Science, to deliver an updated version of the ‘Data Mindfulness’ course as part of the Micro-Methods Workshop series. You can find details of the Micro-Methods Workshops series here: https://research-training-centre.sps.ed.ac.uk/micro-methods.

Finally, we have made the ‘Data Mindfulness’ training materials available for re-use under an open CC-BY license, and you can find links to the videos and download a PDF of the revised ‘Data Mindfulness’ course handbook from the Research Data Service site (a Word version of the handbook is available on request): https://www.ed.ac.uk/information-services/research-support/research-data-service/training.

We hope these ‘Data Mindfulness’ materials are useful and relevant and appreciate any comments or feedback that you may have at data-support@ed.ac.uk.

Bob Sanders
Research Data Support Assistant

The big 3-0-0-0: DataShare reaches three thousand datasets

Quote

Confetti banner says "3,000th deposit!!!" 2021-08-02

Timestamp showing the accession of the deposit on the 2nd of August.

We’re thrilled Edinburgh DataShare has just ingested its 3,000th deposit:

Davey, Thomas; Draycott, Samuel; Pillai, Ajit; Gabl, Roman; Jordan, Laura-Beth. (2021). Wave buoy in current – experimental data, [dataset]. University of Edinburgh. School of Engineering. Institute for Energy Systems. FloWave Ocean Energy Research Facility. https://doi.org/10.7488/ds/3105.

The depositor was Dr Tom Davey, Senior Experimental Officer in the School of Engineering, who said:

“It is a pleasure for us all in FloWave to see one of our datasets achieve this milestone for Edinburgh DataShare. This is also the tenth DataShare upload making use of experimental outputs from the FloWave Ocean Energy Research Facility. Providing a reliable and accessible repository of our project outputs is not only important for our funders, but also promotes new research collaborations and builds lasting impact for our experimental programmes. This particular project will aid in the understanding measuring wave and currents at deployment sites for offshore renewable energy technologies, and adds to the existing FloWave portfolio of datasets in the field of wave energy, tidal energy, advanced measurement, and remote operated vehicles.”

You can explore more data generated at FloWave in the IES DataShare Collection:

Collection – The Institute for Energy Systems (IES) (ed.ac.uk)

Although the ‘wave buoy in current’ dataset is under temporary embargo, currently set to expire on the 5th of September, it is possible to request the data using DataShare’s request-a-copy feature in the meanwhile. Embargoes may be extended, or lifted early, usually reflecting publication dates.

You might also enjoy this hilarious and very popular video about FloWave:

 

Pauline Ward

Research Data Support Assistant

Library & University Collections

University of Edinburgh

New home for Edinburgh Research Data Blog!

Tempus fugit. This Data Blog, which has been going since 2013 is now moving to Edinburgh University Libraryblogs. This follows the 2018 organisational merger of the Data Library team at EDINA with Research Data Support in Library & University Collections.

We hope you will actively subscribe to the new blog at https://libraryblogs.is.ed.ac.uk/datablog/ now, by entering your email address in the right navigation panel so you don’t miss any future posts!

Meanwhile we will redirect the old URL and all the older posts to the new site so you won’t have to remember where to go to catch all the news about the Research Data Service and research data management at University of Edinburgh. Any cited posts or bookmarks will continue to resolve.

Otherwise it just remains to thank our former and future hosts – EDINA, and the Digital Library – for providing the platform.

Robin Rice
Data Librarian and Head of Research Data Support
Library and University Collections