University of Glasgow - Case study in funding research data management

This case study was written by Mary Donaldson as part of the Funder Requirements for Research Data project. This project was funded by JISC as part of the wider Research Data Management Business Case and Costings (RDM-BCC) project. The case study examines how the University of Glasgow supports RDM, how their service sustainability is achieved, and how other RDM activities are paid for

Is violence increasing or decreasing?: a new methodology to measure repeat attacks making visible the significance of gender and domestic relations

The fall in the rate of violent crime has stopped. This is a finding of an investigation using the Crime Survey for England and Wales, 1994–2014, and an improved methodology to include the experiences of high-frequency victims. The cap on the number of crimes included has been removed. We prevent overall volatility from rising by using three-year moving averages and regression techniques that take account of all the data points rather than point to point analysis. The difference between our findings and official statistics is driven by violent crime committed against women and by domestic perpetrators. The timing of the turning point in the trajectory of violent crime corresponds with the economic crisis in 2008/09

Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century

Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective

UCL DAF (Data Audit Framework) Pilot: final report

The UCL DAF (Data Audit Framework) pilot implementation project was funded by JISC for a period of seven months (August 2008-March 2009) to trial the implementation of the DAF methodology at UCL

A measurement strategy for non-dispersive ultra-violet detection of formaldehyde in indoor air: Spectral analysis and interferent gases

We have conducted an extensive review of published spectra in order to identify a region with potential for detection of formaldehyde in indoor air. 85 chemicals and chemical groups common to the indoor environment were identified, 32 of which had absorption spectra in the UV-vis region. Of these, 11 were found to overlap with the formaldehyde UV region. It was found that the region between 320 to 360 nm is relatively free from interference from indoor gases, with NO being the only major interferent. A method is proposed for a low resolution (3 nm) spectroscopic detection method, specifically targeted at formaldehyde absorption features at 327 nm with a reference at 334 nm. 32 ppb of NO was found to have a cross-sensitivity with equivalent magnitude to 100 ppb of formaldehyde. A second reference at 348 nm would reduce this cross-sensitivity.This work was funded by the Engineering and Physics Science Research Council (EPSRC) under grants GR/T18424, EP/P504880 and EP/H02252X. Enquiries for access to the data referred to in this article should be directed to [email protected]

Addressing data management training needs: a practice based approach from the UK

In this paper, we describe the current challenges to the effective management and preservation of research data in UK universities, and the response provided by the JISC Managing Research Data programme. This paper will discuss, inter alia, the findings and conclusions from data management training projects of the first iteration of the programme and how they informed the design of the second, paying particular attention to initiatives to develop and embed training materials

Fostering open science practice through recognising and rewarding research data management and curation skills

In a bid to improve research integrity, drive innovation, increase knowledge and to maximize public investment, researchers are increasingly under pressure to work in a more open and transparent way. This movement has been referred to as open science. Open science offers a range of potential and measurable benefits – for researchers and the institutions that employ them as well as for society more generally. However, to realise these benefits, we must work towards changing current research practices and behaviours. Researchers will need to acquire new research data management and curation skills that enable them to undertake a broader range of tasks along the entire research lifecycle – from undertaking new means of collaboration, to implementing data management and sharing strategies, to understanding how to amplify and monitor research outputs and to assess their value and impact. In parallel, information professionals who work to support researchers and the open science process will also need to expand their research data management and curation skillsets. It will be equally important that current recognition and reward systems are amended to reflect the application of such skillsets within a range of disciplines. This paper will explore the potential role that librarians can play in supporting and progressing open science and discuss some of the new skills that librarians may require if they are to fulfil this role effectively. Citing examples from the current UK research landscape, this paper will map these skills to the Wellcome Trust and Digital Science’s CRediT Taxonomy which was developed in 2013 to enable the broad range of contributions involved in producing research outputs to be more consistently described and rewarded

Sensitive detection of methane at 3.3 μm using an integrating sphere and interband cascade laser

Detection of methane at 3.3μm using a DFB Interband Cascade Laser and gold coated integrating sphere is performed. A 10cm diameter sphere with effective path length of 54.5cm was adapted for use as a gas cell. A comparison between this system and one using a 25cm path length single-pass gas cell is made using direct TDLS and methane concentrations between 0 and 1000 ppm. Initial investigations suggest a limit of detection of 1.0ppm for the integrating sphere and 2.2ppm for the single pass gas cell. The system has potential applications in challenging or industrial environments subject to high levels of vibration

Advancing research data publishing practices for the social sciences: from archive activity to empowering researchers

Sharing and publishing social science research data have a long history in the UK, through long-standing agreements with government agencies for sharing survey data and the data policy, infrastructure, and data services supported by the Economic and Social Research Council. The UK Data Service and its predecessors developed data management, documentation, and publishing procedures and protocols that stand today as robust templates for data publishing. As the ESRC research data policy requires grant holders to submit their research data to the UK Data Service after a grant ends, setting standards and promoting them has been essential in raising the quality of the resulting research data being published. In the past, received data were all processed, documented, and published for reuse in-house. Recent investments have focused on guiding and training researchers in good data management practices and skills for creating shareable data, as well as a self-publishing repository system, ReShare. ReShare also receives data sets described in published data papers and achieves scientific quality assurance through peer review of submitted data sets before publication. Social science data are reused for research, to inform policy, in teaching and for methods learning. Over a 10 years period, responsive developments in system workflows, access control options, persistent identifiers, templates, and checks, together with targeted guidance for researchers, have helped raise the standard of self-publishing social science data. Lessons learned and developments in shifting publishing social science data from an archivist responsibility to a researcher process are showcased, as inspiration for institutions setting up a data repository