A JISC-funded Managing Research Data project

Posts tagged Digital Curation Centre

The following workshop is taking place tomorrow. Here’s the ‘All staff message’ inviting researchers to attend.

Staff from the Digital Curation Centre will be leading a workshop this Thursday, focused on ‘data management planning’ which is increasingly required by funding bodies. Researchers and research students are welcome to attend.

Funding bodies increasingly require grant-holders to develop and implement Data Management and Sharing Plans (DMPs). Plans typically state what data will be created and how, and outline the plans for sharing and preservation, noting what is appropriate given the nature of the data and any restrictions that may need to be applied.

This workshop will provide an overview of research data management and the role of data management planning. There are a small number of places available for researchers to attend.

Please contact Joss Winn if you wish to attend.

Workshop details:

Library UL102. Thursday 28th February.

13:00 – 13:05  Welcome and introductions
13:05 – 13:25  Research Data Management – an overview
13:25 – 13:40  An introduction to DMP Online
13:40 – 14:15  Practical exercise to identify and map research workflows using DMP template (part one)
14:15 – 14:30  Feedback
14:30 – 14:45  Coffee break
14:45 – 15:15  Practical exercise to identify and map research support services using DMP template (part two)
15:15 – 15:30  Feedback, wrap-up

This week sees the formal two-day launch event for the JISC Managing Research Data programme 2011–2013 (the programme which is funding Orbital). It’s being held in the National College for School Leadership, next to the University of Nottingham’s Jubilee Campus.

Unfortunately, after schlepping it from the furthest fringes of Lincolnshire (and then having to go back home for the evening), I was only able to attend a couple of hours of day 1. But it was worth it.

I arrived just in time for a workshop about a number of research data management tools developed/provided by the Digital Curation Centre (DCC). Dr Mansur Darlington, who’s acting as external assessor/consultant to the Orbital project, was also in this workshop and contributed greatly to the discussions. (My Orbital colleagues Joss Winn and Nick Jackson attended the [parallel] workshop on various JANET, Eduserv and UMF SaaS/cloud storage services.)


Clare CollegeYesterday I was at Clare College, University of Cambridge for a meeting organised by USTLG, the University Science & Technology Librarians Group. The group—open to any librarians involved with engineering, science or technology in UK universities—has meetings once or twice a year. The theme of yesterday’s meeting (free to attend, thanks to sponsorship from the IEEE) was data management, with an implied focus on research data.

The meeting consisted of a series of presentations (plus a fantastic lunchtime diversion, below) with plenty of time for networking – there were about 40 people there, all with an interest in research data management – though interestingly, a show of hands suggested very few people were actively engaged in looking after their own institution’s researchers’ data.

As usual, this blog post has been partially reconstructed from the Twitter stream (hashtag #ustlg).

First up, Laura Molloy, substituting for Joy Davidson of the Digital Curation Centre (DCC), on a project called the Data Management Skills Support Initiative (DaMSSI), looking at the [shades of information literacy] skills needed by different people involved in the research data curation process. “DaMSSI aims to facilitate the use of tools like Vitae’s Researcher Development Framework (RDF) and the Seven Pillars of Information Literacy model” developed by SCONUL. Key question: how do you assess the effectiveness of research data management training?


Long day on the trainI’ve been at the University of Warwick today, for a workshop organised by the Digital Curation Centre (DCC), entitled RDMF7: Incentivising Data Management & Sharing. There appeared to be a wide range of attendees, from data curators & data scientists, ICT/database folk. actual researchers and academics, as well as at least one fellow library/repository rat.

Unfortunately I was only able to attend part of the event (which ran over two days). The following notes have been reconstructed from the Twitter stream (hashtag #RDMF7)!

The first speaker I heard was Ben Ryan of the funding council, the EPSRC. He talked about the “long-established” principles of responsible data management [links below]… this may be my own interpretation of Ben’s presentation, but I don’t think I was imagining undertones of “…so there’s really no excuse!“. He also covered individual and institutional motivations for taking care of data [much more about which later], policy and the enforcement of policy, dataset discoverability/metadata, funding (including the EPSRC’s expectation that institutions will make room in existing budgets to meet the costs of RDM), and embargo periods (inc. researchers’ entitlement to a period of “privileged use of the data they have collected, to enable them to publish” first – important to stress this in order to allay fears/get researchers on board?).

Some links:

Next up was Miggie Pickton, ‘queen bee’ of the University of Northampton‘s repository (and self-described RDM “novice”, indeed!), talking about their participation in the multi-institution, JISC-funded KeepIt project, which aimed to design “not one repository but many that, viewed as a whole, represent all the content types that an institutional repository might present (research papers, science data, arts, teaching materials and theses).” This work lead almost by chance to Northampton’s undertaking of a university-wide audit of its research data management processes using the DCC’s Data Asset Framework (DAF) methodology. This helped them to make the case for an institutional research data management working group and [eventually, and not without resistance] to establish a mandatory, central policy for RDM. (Show of hands at this point: how many other institutions have completed a DAF? I counted perhaps only three, Lincoln certainly not being amongst them. Q. Should the University of Lincoln complete a Data Asset Framework exercise as part of the Orbital project?)

After coffee, we heard a third presentation from Neil Beagrie of (management consultancy partnership) Charles Beagrie Ltd. Neil delivered a very comprehensive explanation of the KRDS (“Keeping Research Data Safe”) project, which has developed both an activity model and a benefits analysis toolkit for the management and preservation-of-access to ‘long-lived data’. I have to come clean here and admit that I was a little bewildered by the detail: much of it went through both ears without sticking to the brain on the way through. I need to go back over the tweets more carefully and have a look at the KRDS toolkit and reports at: beagrie.com/krds.php

The morning’s presentations over, we split into three groups for breakout discussion.

I attached myself to the second of the three groups, led by (JISC programme manager for Orbital) Simon Hodson; our job to consider the question: “What really are the sticks and carrots that will make a long-term difference to the pursuit of structured data management processes?“. After spending some time picking apart the terminology, and what each of the various ‘processes’ might include, we had a wide-ranging (and allocated-time-overrunning) discussion about the things that genuinely motivate scientists, universities, and funding councils(!) to care about RDM; about some of the problems caused by the complexity and inconsistency of metadata for datasets; also about the issue of citations/digital object identifiers for data—how those citations might be treated by publishers and citation data services—and how that relates to any notions of ‘peer review’ in experimental data.

As requested, our group came up with three actions which we believe will help address the question of motivation:

  1. Data citation – publishers should consistently include e.g. DOIs for datasets in final published articles, so that citations of the data can be measured.
  2. Measurement of RDM “maturity” – departments and whole institutions should adopt a standardised quality mark for research data management, to give [potential] researchers, funding bodies, and the public confidence in their ability to handle data appropriately.
  3. Discovery – the research councils (probably) should push for common metadata standards for describing datasets and underlying data-generating research/experimental processes.

Lunch followed, and I had time to hear two more presentations in the afternoon before I had to run for a bus:

Catherine Moyes of the Malaria Atlas Project: in effect, demonstrating what really clear and consistent management of large-scale (geo)data looks like. This seems to consist of an extremely rigorous approach to requesting, tracking, and licensing data from the contributors of the project’s data… and an equally strict (but in a good way) expectation of clarity when dealing with requests from third parties to use the data. If that all comes across as restrictive, I’d point to Catherine’s slide on ‘legalities’ of the data that the Malaria Atlas Project has released openly – it’s about as open as it gets, with no registration needed, no terms & conditions placed on re-use of the published data, and all software/artefacts released under very permissive and free licences (Creative Commons or GNU). N.B. the Orbital project should look at the Malaria Atlas Project’s “data explorer”, available via map.ox.ac.uk, as an example of a really nifty set of applications built on top of openly accessible and re-usable data.

Finally (and I’m sorry I only got to hear part of his presentation), University of So’ton chemistry professor Jeremy Frey on their IDMB (Institutional Data Management Blueprint) Project—southamptondata.org—and some rather funny anecdotes about the underlying knowledge, expectations, and problems faced by researchers managing their own data, which emerged when they were surveyed as part of the above project.

Lots to take in (lots). But some useful suggestions for Orbital, which I’ll be bringing to the next project meeting: and plenty more reading material which I’ll add to the project reading list asap.

Paul Stainthorp, lead researcher on the Orbital project.