As part of open access week 2018 (22nd-28th October 2018), UCL Library services have organised a series of events covering open access, REF, RPS, data sharing and Open Science. These events include training sessions, film screenings and drop-ins.
The Research Data Support team will be running a lunchtime session on the most effective ways to share your research data.
The first half of the session will give researchers an introduction to the principles and practicalities involved in data sharing. It will also seek to outline the principles of FAIR data and how this relates to the production and use of data over the research lifecycle.
During the second half of the session, UCL’s Research Data Management team and Open Access team will host a drop-in to help answer any questions about sharing research data, Open Access Publishing, RPS or Open Science.
This session will take place on the 25th of October between 13.00-14.00 in the Common Ground, Institute of Advanced Studies, South Wing, UCL Main Building (www.ucl.ac.uk/maps/south-wing).
An Eventbrite listing is available but you don’t need to register to attend.
Full listings and further details of all the events organised as part of open access week at UCL can be found on the open access blog.
Join us for this month’s UCL open education special interest group meeting. Dr. Javiera Atenas from the Open Knowledge Foundation will talk about a pedagogical element to foster open education through the use of Open Data, which MIT is currently working on. Javiera will showcase a data-research impact tool developed by the MIT which can be used as good practice to showcase open data as OER.
Wednesday 15 August 2018, 3-4pm, in Room 712, Maple House, W1T 7NF [map]
Open education, like open access and open data, centres on a commitment to provide access to high quality education and educational resources to a global audience.
As the Open Education Consortium declares, “sharing is probably the most basic characteristic of education: education is sharing knowledge, insights and information with others, upon which new knowledge, skills, ideas and understanding can be built”.
Open education typically involves the creation and sharing of openly-licensed learning materials – open educational resources (OER) – that can be re-used and enhanced by the community. OER can include lesson and course plans, exercises, diagrams, animations, video or audio lecture recordings, presentations, handouts, mock papers/tests, reading lists, and so on.
How is research data relevant to open education?
Open Educational Data (OED) is open research data which can be reused for educational (teaching and learning) purposes and improving the quality of education. The UK Data Service states that “real data bring learning to life” and that using data for teaching “is an invaluable way for learners to confront complex […] research questions.”
UCL’s open data repository, which is currently in development, will allow users to access and use data for educational purposes. Datasets which include raw and summary data can be curated and used as research-based educational content, and can include additional descriptive and support documents such as workbooks and educational guidelines.
Research methods and data analysis can be taught using embedded discipline-specific or inter-disciplinary data; this gives students real-world and practical resources to learn with, and increases the use and impact of research data.
Why should I share research data as educational content?
Publishing research data as educational resources will have wider global reach and impact, and attributing the UCL brand to your output should provide quality assurance for other users.
Your published OED can be cited and referenced by others and can be included in your publications (tying into the Academic Promotions Framework, which rewards open behaviours, for example), adding value to your teaching and research, and raising your professional reputation.
How will this benefit my students and me?
While the initial creation of educational materials from published data can require some consideration, sharing these will allow the creators to promote good practice, collaborate with other educators and learners, and respond to UCL promotional criteria that require publication of educational materials.
There is some evidence that re-using high-quality OER is a time- and cost-saving activity, as you can edit existing educational materials to make content specific to your programme or class. OER-use can also provide the chance to learn in different ways, i.e. a flipped classroom, and insight into the research-based teaching approaches of fellow practitioners in your field might lead to collaboration, inspire your own teaching and research, or contribute to original output.
Getting involved and learning more
If you have any content (such as data-specific OER) you would like to upload to the repository or if you require further information, please contact the OER team at email@example.com who will be happy to support you.
To find out more about open education or to contribute to this practice at UCL, ask to join the mailing list by emailing firstname.lastname@example.org, or attend the next meeting of the open education special interest group (SIG). This will be held on Wednesday 15 August 2018 3-4pm in room 712, Maple House.
We will also be present at RDM/RITS drop-in sessions if you’d like to talk to us or learn more about creating OER from your research data. Information about upcoming SIG meetings and RDM/RITS drop-in sessions can be found here.
More information about the project is available on the OER website, or you can follow us on Twitter @OpenUCL.
UDIT: using (open) data in teaching (collaboration with Toronto, Amsterdam, and Radboud (Netherlands)) is a pool of resources for teachers to help them use open data in their teaching. These are being put into OER Commons and accompanied with the UDIT module. For those interested in contributing data, the project is seeking materials to incorporate into modules and OER Commons.
Harnessing FAIR Data (3 September 2018, 13:00 – 17:00) focuses on researchers who employ or are seeking to use data in their work. FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable. In this thematic context we aim to better understand the cross-disciplinary practice of sourcing, using and managing data and its associated implications, such as ownership, standards and metadata, and access and licensing. Experienced speakers from around the UK will come together to explore FAIR data and services, and a panel session will help to identify key questions that researchers face when considering using data in research.
Realising the Potential: Final Report of the Open Data Task Force.
Prof. Pam Thomas, University of Warwick The Re-use of Consumer Data for the Social Good
Prof. Paul Longley, Department of Geography, UCL Using socio-ecological simulation models to make the most of hard-won paleoecological data
Andrew Lane, Department of Geography, King’s College London The CLOSER consortium of longitudinal studies: Opportunities and obstacles in harmonising data from diverse sources
Dr. Dara O’Neill, CLOSER, UCL Institute of Education Publishing FAIR Data in Chemistry
Dr. Charles Romain, Department of Chemistry, Imperial College London
Panel members: Prof. Pam Thomas, Dr. Paul Ayris (UCL), Prof. Henry Rzepa (Imperial College London)
This one day workshop will explore the facets of Open Science and how these are/could be pursued by UCL researcher. In the morning speakers will discuss different aspects of and perspectives on Open Science with afternoon workshops offering practical advice. There will also be opportunity to discuss the steps UCL should take to support Open Science. This free event will be open to all UCL staff and is delivered by UCL Library Services with support from UCL Organisational Development.
Prof. David Price, Vice-Provost (Research), UCL
Dr Paul Ayris, Pro-Vice-Provost, UCL Library Services
Catriona MacCallum, Director of Open Science, Hindawi
Our interview with Martin provides a clear example of how researchers are already making extensive use of open data and have a desire to share their own data with broad audiences. The interview also emphasized some of the challenges faced by researchers who want to make their data available as a services through interactive websites or APIs. A particular challenge is that whilst funders cover some of the costs associated with Research Data Management usually these don’t include funding after projects have finished to maintain ‘live’ data services. Supporting researchers in their efforts to present data in new and innovative ways is an area university support services may want to continue investigating.
This week is Love Data Week an international event ‘to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services.’As part of Love Data Week we are publishing case studies that highlight the ways in which people are working with research data across UCL. Today we are highligting case studies from the Consumer Data Research Centre (CDRC).
Consumer Data Research Centre
‘The CDRC is working with consumer-related organisations to open up their data resources; to our trusted researchers. This enables them to carry out important social and economic research.’ UCL is one of the partners in the CDRC. There will be a drop-in on Wednesday 14 February which will offer an oppertunity to learn more about the CDRC’s data.
The CDRC has a number of case studies involving UCL researchers:
The CDRC have just launched their Masters Programme:
‘A host of retailers, businesses and organisations have provided details of projects and are now inviting applications from potential Masters students to carry out research on a range of exciting topics.
The programme offers an excellent opportunity to work directly with an industrial partner and to link students’ research to important retail and ‘open data’ sources. The project titles are devised by retailers and are open to students from a wide range of disciplines. In previous years, we have worked with students from Geography (and GIS), Computer Science, Business Analytics, Economics and Statistics, but projects are by no means limited to these areas.
All students will be in with a chance to present their research at an academic conference (date tbc) with three projects selected to win prizes.’
You can find out more information and apply on the CDRC website.