- Data from a telecare service, comprising qualitative and quantitative data
- Transcripts of Interviews with older people, comprising qualitative data
19 December 2011
The data requirements for the DATUM in Action project were obtained by: (i) a questionnaire (based on those used by the Incremental and Sudamih projects) and (ii) a focus group. An overview of these requirements is given below.
The DATUM in Action (RDMP) project is supporting research staff on an EU project to plan and implement research data management (RDM). The EU project (MATSIQEL), funded under the Marie Curie International Research Staff Exchange Scheme, is accumulating expertise for the mathematical and computer modelling of ageing processes with the aim of developing models which can be implemented in technological solutions (e.g. monitors, telecare, recreational games) for improving and enhancing quality of life. Led by the School of Computing, Engineering and Information Sciences (SCEIS), it comprises six work packages involving researchers at Northumbria (SCEIS and the School of Health, Community and Education Studies (SHCES)) and in Australia, Bulgaria, Germany, Mexico and South Africa. The RDMP project is focussing on two of its work packages (WP4 Technical solutions and implementation and WP5 Quality of Life).
The first Action Research Cycle of the RDMP project was to gather the RDM requirements of the EU project. This was done via a focus group and questionnaires with SCEIS and SCHES staff.
WP4. Technical solutions and implementation
The main emphasis of this work package is to model and predict the use of telecare technology on enabling older people to age in their preferred place and supporting them to do what is important to them. Older people and their carers desire to be independent and have control over their own lives. Technological solutions can contribute to this outcome, however understanding of circumstance and context is poorly developed. This will be addressed by examining historical information from a telecare service on what the user was doing when triggering sensors to predict likely future activity.
WP5. Quality of Life
The traditional view of older people emphasises experiences of loss, decline and dependency. However, there is a growing body of work which challenges this view as an inadequate explanation for experiences which older people themselves identify as associated with well-being, autonomy, togetherness, security, and which they manage through self-care and inner strength. More inclusive definitions of health and quality of life do acknowledge the way that older people use their inherent adaptive capacities to best effect and it is this conceptualisation of quality of life that is the central focus of this work package. An important aspect of this work will be to examine the way that older people engage with telecare technologies to enhance their ability to self-care and optimise their life experience thereby improving quality of life.
More data will be collected as the EU project develops.
For the EU Project
EU funder requirements
Changeability: the EU project is an exploratory project in an under-researched field so requirements will change, and change on a regular basis
Management of ethical approval forms, permissions and correspondence: ethical approval has been obtained for the current research activity; additional approval will be required for new activities. Keeping an audit trail of approval and associated activities will be required
Management of consent forms: consent has been obtained for current and future use of the telecare and interview data. Further data collection may require consent from a new group of participants
Some of the data is covered by a non-disclosure agreement so confidentiality of this data must be ensured
Anonymity of the data must be ensured
The data will undergo a series of manipulations: anonymisation, cleansing, extraction, collation, analysis by different groups using different analytical methods (qualitative, statistical, mathematical modelling). Audit trail, tracking and version control will be required
Within Northumbria University, controlled access is required to the data and associated materials by staff from two schools
Outside Northumbria University, access to subsets of the data by staff from a range of universities within and without the EEC is required. Anonymised data needs to be provided to these staff in a secure fashion, e.g. by the use of encryption, and by a suitable transfer mechanism. In return, these staff need to share their results with Northumbria University staff in the same fashion.
There are different disciplines involved in the EU project, with different research paradigms and expertise with different methodologies. At Northumbria University the disciplines are health, social care, maths and computing. There are different RDM expectations and procedures between the different disciplines, and within and between the different schools.
For the Computing / Maths Disciplines
There are usually no external RDM requirements. Procedures tend to be developed on an ad hoc basis as needed during the lifetime of the project, following industry standards and professional working practices. Expertise is with quantitative data, managing large datasets, and use of sophisticated computing and computational tools. Involvement in ethical approval procedures and participant consent is unfamiliar.
For the Health/Social Care Disciplines
Expertise is with mixed methods, qualitative data and close involvement with participants. A major focus is on ethical issues, particularly informed consent and confidentiality, and ethical approval procedures. There are external requirements for this, e.g. NRES and the Data Protection Act. A much richer collection of associated research materials are produced and require management. The extension of RDM guidance to protocols and possibly standard operating procedures would be helpful.
For both the disciplines, research funding is obtained from a wide range of funders. The Research Councils and big charities now have requirements, for RDM to be included in proposals, and for data to be shared. Over time it is likely that this trend will extend to many other types of research funder.
On behalf of the DATUM in Health project, I was a presenter at a workshop during the 7th International Digital Curation Conference held in Bristol.
Workshop 2: Delivering post-graduate research data management training was held on 5th December. Contributions were made from a number of JISCMRD projects:
- Research Data MANTRA, University of Edinburgh
- DATUM for Health, Northumbria University
- DataTrain, University of Cambridge
- CAIRO, University of Bristol
- DaMSII, DCC & RIN, University of Glasgow
and one external project:
- Data Observation Network for Earth (DataONE), University of New Mexico, USA.
Three breakout groups addressed the topics:
- Creating and repurposing discipline-specific learning materials
- Modes of delivery (Face-to-face, online, etc.)
- Engagement with postgraduate training programmes
Copies of the presentations can be seen at: http://www.dcc.ac.uk/events/idcc11/workshopsWorkshop
16 December 2011
Links to the reports from the various sessions at this event:
Day 2 session: 'identifying and supporting researcher requirements':
Thematic session on the Business Case for RDM: presentations by June Finch (University of Manchester, MaDAM and MiSS Projects) and James Wilson (University of Oxford, Sudamih, VIDaaS and DaMaRO Projects): http://bit.ly/v6HhfK
Biomedical/Health breakout group: chaired by Jonathan Tedds (BrissKit), representation from MRD strands A, B, and C: http://bit.ly/sc2TW1
See Marie-Therese Gramstadt’s blog post about this http://kaptur.wordpress.com/2011/12/14/jiscmrd-launch-brian-kelly-tips/ It is a follow up to Brian Kelly’s session and the discussion on "Blogging Practices To Support Project Work"  at the JISCMRD Programme Launch.
On 09/12/2011 14:40, Brian wrote:
“During the session I touched on ways in which the effectiveness of a blog may be measured. Due to lack of time I was unable to cover this in any detail. However I have just published a post on UKOLN ISC blog which explores these issues in more depth: http://isc.ukoln.ac.uk/2011/12/09/blog-analytic-services-for-jisc-mrd-project-blogs/
In brief, there will be a need to understand how effective a project blog is. There are various approaches (surveys, voting tools for posts, measuring retweets of posts, etc.) However these may be time-consuming or way not work for particular audiences. One approach I have suggested is registering one's project blog with blog analytic services such as Technorati and EBuzzing (formerly Wikio). As with any services for measuring 'success' (e.g. the REF) these have limitations and, being academics, we could spend a long time arguing about metrics, ways in which systems can be gamed, etc. However if used with caution, such services may help to provide a better understanding of how one's blog is engaging with other's in the blogosphere (e.g. "Who is linking to me and how well-established are they?") In addition using such services in a systematic fashion (e.g. adopting use of the JISCMRD tag) could enable projects to quickly see patterns across the community (e.g. does a Technorati search for 'JISC'  indicate blogs which are effective in encouraging discussion and links and can one learn from the approaches which have been taken?)
It strikes me that the JISC MRD project might be an appropriate propgramme to begin explorations of such metrics in part because you'll be aware of the importance of data and ways in which data can be used (and mis-used). But in addition you may also have an interest in altmetrics  including ways in which social media tools, such as blogs, can help to identify the impact of research beyyond citations. Comments welcome, either here or on the blog. Note I know that metrics can be a controversial topic so I'd welcome constructive comments.
1 Blogging Practices To Support Project Work , http://www.ukoln.ac.uk/web-focus/events/workshops/blogging-practices-jiscmrd -2011/
2 Technorati *blog* search for 'JISC', http://altmetrics.org/manifesto/
3 altmetrics manifesto, http://altmetrics.org/manifesto/
Brian Kelly, UKOLN, University of Bath, BATH, UK, BA 2 7AY Email:firstname.lastname@example.org Blog:http://ukwebfocus.wordpress.com/ Twitter: @briankelly and @ukwebfocus Phone: +44 1225 383943
05 December 2011
I attended last week’s launch meeting held at the very impressive NCL Conference Centre, Nottingham (http://www.jisc.ac.uk/whatwedo/programmes/di_researchmanagement/managingresearchdata/mrdlaunch.aspx). Good to catch up with people I’d met through our previous RDM project (DATUM for Health www.northumbria.ac.uk/datum) and to meet new people. The range of new (longer) infrastructure and (very short) data management planning projects is impressive. The poster session provided an excellent opportunity to get snapshot overviews of these and to talk with project staff. A couple of other highlights:
- the session about benefits and impact measurement – good discussion with colleagues at University of Hertfordshire, despite our very different projects we shared some good ideas about what might be possible. And Neil Beagrie indicated RDM projects should be ‘eligible’ as REF impact case studies
- the session for short projects on data management planning and meeting funder requirements. My short presentation generated some really good discussion and sharing of views, ideas and experiences, meaning it wasn’t short in the end! In addition to sharing our experiences from DATUM for Health and now DATUM in Action I highlighted the importance of managing the retention of research data/information – I don’t think the message from the RDM projects should be ‘keep everything’. We must try to assess value/potential value no matter how challenging that can be – appraisal is one of the most difficult aspects of information/records management as records managers and archivists know well! Really good ideas about writing research data papers and publishing in open journals – common in some science disciplines but not something I’m familiar with in information management, social sciences. REDm-MED and REWARD projects are really interesting and relevant to ours.
A real buzz over the two days, lots of blogging and tweeting. Congratulations to Programme Manager Dr Simon Hodson for organising such a stimulating event.
30 October 2011
Welcome to this new blog for the JISC funded DATUM in Action project which aims to help a collaborative group of researchers working on an EU FP7 staff exchange project (MATSIQEL) to define and implement good research data management (RDM) practice. The DATUM in Action team, Prof Julie McLeod (Lead), Sue Childs and Elizabeth Lomas, are helping the EU research staff to develop a data management plan and supporting systems and then evaluate their initial implementation. The project is seeking to improve practice on the ground through more effective and appropriate systems, tools/solutions and guidance for managing research data. It builds on the successful DATUM for Health project, which developed training materials to promote and improve RDM capacity and skills in HEIs, by improving practice on the ground’ through more effective and appropriate systems, tools/solutions and guidance for managing research data.
Working with four researchers and one PhD student involved in one of the EU project’s work packages, we are using a form of action research. Action research (i.e. practical problem solving) is participative, emergent and reflective, and aims to improve practice and achieve institutional change. The requirements analysis, DMP development and supporting infrastructure development will each form an action research cycle, each cycle comprising three phases covering the processes of action planning > action taking > reflection. The project is currently part way through the first cycle (requirements analysis).
The EU (MATSIQEL) project, funded under the Marie Curie International Research Staff Exchange Scheme, is accumulating expertise for the mathematical and computer modelling of ageing processes with the aim of developing models which can be implemented in technological solutions (e.g. monitors, telecare, recreational games) for improving and enhancing quality of life. Lead by Professor Maia Angelova, School of Computing, Engineering and Information Sciences at Northumbria University, it comprises six work packages involving researchers at Northumbria and in Australia, Bulgaria, Germany, Mexico and South Africa. DATUM in Action will focus on one of its work packages (WP5 Quality of Life) lead by Professor Glenda Cook, School of Health, Community & Education Studies, Northumbria University.
The project runs from 3 Oct 2011-31 March 2012. Full details are available at the project website http://www.northumbria.ac.uk/datum