Events

The University of Southampton Research Data team have organised a range of fantastic online events for this year's International Love Data Week. This event features a talk by Matt Spitz Mahon at the University of Glasgow. The University of Glasgow has recently implemented petabyte scale, long-term storage for research data. In this talk, we present the features of the new storage and the timeline of implementation, and discuss considerations for our research data management service and open research agenda. 

The UK Data Service (UKDS) is running a free in-person event, held in The Engine Room at the People's History Museum in Manchester. This event will support ECRs to develop their skills in communicating their research for translation into policy. This workshop offers practical tools and inspiring perspectives to help you take the next step, with attendance from stakeholders interested in policy engagement. Through sessions such as 'Stakeholder Speed-Dating', Panel Discussions, and Lightning Keynotes, this interactive workshop looks like a great opportunity for ECRs to learn how to translate their data into impact through policy.

The University of Southampton Research Data team have organised a range of fantastic online events for this year’s International Love Data Week. In this event Jen Gibson from Dryad will present on Credibility, integrity and intent in research: The role of research data. Jen’s talk will introduce Dryad, an open data publishing platform and a community committed to the open availability and routine re-use of all research data. Jen will touch upon credibility, integrity and intent in research and the role that research data play in these. 

The University of Southampton Research Data team have organised a range of fantastic online events for this year’s International Love Data Week. In this event Matt Phillips will talk about Discovering Collections as Data at the University of Southampton Library. Discover the Library Data Lab, the University of Southampton Library’s new collections as data service. In this talk we’ll consider what “collections as data” means and explore the APIs, datasets and other features of the Library Data Lab, as well as the standards and formats we use and why. We’ll see some of the work people have been able to do with our data and share Jupyter Notebooks that can help you get started using the Library Data Lab in your research.

CHARTED  is organising a session to engage with the dRTP community (research software, research data and research computing infrastructure professionals) in a discussion on what it means for training resources to be FAIR - Findable, Accessible, Interoperable and Reusable - and to gather feedback on the questionnaire created to evaluate FAIRness of existing training resources. Once completed the questionnaire will also be linked to a set of recommendations and practical guides to help improve existing training resources.

In this first training workshop, we consider some cultural and educational aspects of data reusability. Through a series of talks and guided discussions we consider how data professionals are supporting and collaborating with researchers in research data management and sharing. We consider what repositories should be (better) aware of regarding the challenges and opportunities that researchers face around data sharing, reproducibility and reuse, including driving forces in the research communities.

In this second training workshop, we consider some legal and ethical aspects of data reusability. Through a series of talks and guided discussions we consider how data professionals are supporting and collaborating with researchers in research data management and sharing, including support with the CARE Principles. We consider what repositories should be (better) aware of regarding the challenges that researchers face around data ownership and ethical challenges, both as data depositors and potential data reusers. We look at what current projects are working on that aim to better inform researchers about how data has been used or can be (re)used, including more complex data access and reuse conditions.