At the start of 2019 the University of
Cambridge announced its Position Statement on Open Research. This blog looks at
what has been happening since then and the current plans for making research at
Cambridge more open.
Our Position
In February 2019, the University of
Cambridge set out its position on open research to support and encourage open
practices throughout the research lifecycle for all research outputs. The Position
Statement made clear that both the University and researchers have
responsibility in this space and that there would be no one size fits all
approach to how to be open. As part of forming a position on open research, the
University also created the Open
Research Steering Committee to oversee the open research agenda of the
University. This Committee is currently looking at three key areas –training, infrastructure
and Plan S.
Training
In 2018, we ran a survey
on open research [available to Cambridge University only] which highlighted
our research community’s desire for more training on open research practices
and tools. In order to delve into this further, a pilot was run with the Faculty of Education who submitted a
disproportionately high number of responses to the survey, suggesting a strong
interest in open research. The pilot, run earlier this year, encompassed six
face-to-face training sessions on topics around open research, such as managing
digital information, copyright, and publishing. These sessions were well
received by both PhD students and postdocs.
In tandem to this, work is also being
carried out to make the provision of open research related training more
strategic, sustainable and efficient. For example, some of the courses the Office of Scholarly Communication run have
already been embedded into existing PhD programmes, such as Doctoral Training Centres or
the centrally run Researcher Development
Programme but we could
still increase the opportunities to work more closely with other parts of the
University. With so many other pressures on time, it is essential
we work together with all stakeholders involved to ensure we get the balance of
training offered correct, so that we maximise the time benefits/costs of both
the trainer and the student.
Finally, the question of sustainability for open research training is also being investigated. How can we ensure open research training reaches the 9,000 or so academics and postgraduate students we have at Cambridge? One answer to this question is online training. We are currently developing a digital course which will introduce the basics of open research, complementary to the soon-to-be-launched online research integrity training. However, we know that researchers value face-to-face sessions too, and intend to continue to develop our face-to-face offer, where we can provide deeper knowledge and discuss issues in more detail. Within the libraries at Cambridge we are also starting to work more closely with research support librarians and others in department libraries who can offer expertise and guidance that is tailored to the discipline.
Infrastructure
The University
Position Statement on Open Research says “University support
is important to make Open Research simple, effective and appropriate” and a key
part of that support is in the form of infrastructure. This is a complicated
area because it involves a number of service providers at the University who
all have different priorities as well as the large body of researchers, who
have a huge variety of needs and technical abilities. Finding common solutions
or tools will always be difficult in a large, research intensive institution
like Cambridge, which has Schools spread across the spectrum of arts, humanities,
social sciences and STEMM subjects.
The Open Research
Steering Committee is made up of representatives from across the
University both from different academic Schools and University services. This
is key to ensure that the drive towards open research infrastructure is
holistic and proportional in the context of other University agendas. A
landscape review of the services already provided has been carried out as has a
‘wish list’ of IT infrastructure that researchers would like. Whilst the ‘wish
list’ has been carried out in a context wider than open research, it is really
heartening to see many ‘wishes’ relate to systems that would improve open
research practices.
There is also work underway to look at how
research notebooks (or electronic lab notebooks if you prefer) are being used
across the University. A trial
of notebooks run in 2017 resulted in the decision not to provide an
institution-wide research notebook platform, but guidance
instead. This new work under the auspices of the Open Research Steering
Committee aims to build on this work by extending the guidelines to include
principles around data security, data export and procurement.
Plan S
Plan
S looms large on our horizon and will present a challenge when it comes
into force in 2021. Whilst we are waiting to see to what extent UKRI’s updated
open access policy will reflect Plan S principles, we are busy contributing to
the Transparent
Pricing Working Group. This group was convened by the Wellcome Trust in partnership with UKRI and on behalf of cOAlition S to bring together
publishers, funders and universities to develop a framework to guide publishers
on how to communicate about the price of the services in a practical and
transparent manner. The University is also looking into how we can implement
the principles of DORA, which are supported
by cOAlition S. This work is being led by Professor Steve Russell, an academic
advocate for open research, and the work will very much be done in consultation
with our academic community.
Summary
Cambridge is showing its commitment to enabling open research by taking seriously its role in providing infrastructure, training and the right culture for our academics. These areas need to be tackled holistically and the oversight of the Open Research Steering Committee should allow this to happen. It is important that we are collaborative with our research community and we hope that we have got that balance right with the inclusion of academics in the main Committee and working groups. Ensuring open research is embedded in everyday practice at the University will, of course, take time but we think we are making a good start.
At the heart of the University of Cambridge’s Open
Access Policy is the commitment “to disseminating its research and scholarship
as widely as possible to contribute to society”.
Behind this aim is the benefit to researchers worldwide, as the OA2020 vision has it, to “gain immediate, free and unrestricted access to all of the latest, peer-reviewed research”. It’s some irony indeed that the growth of the availability of research as open access does not automatically result, without further community investment, in a corresponding improvement in discoverability.
Key stakeholders met at the British Library to discuss the issue at the end of 2018 and produced an Open Access Discovery Roadmap , to identify areas of work in this space and encourage collaboration in the scholarly communications community.[1] A major theme included the dependence on reliable article licence metadata, but the main message was finding the open infrastructure/interoperability solutions for long-term sustainability “ensuring that the content remains accessible for future generations”.
New web pages on Open Access discovery
Recognizing where we are now, and responding to the present, (probably) partial awareness of the insufficiencies in the OA discovery landscape, Cambridge University Library has added pages to its e-resources website to highlight OA discovery tools and important websites indexing OA content. The motivations for highlighting the options for OA discovery on the new pages is described in this blog post. Our main aim is to bring to light search and discovery of OA as a live topic and prevent it “languishing in undiscoverable places rather than being in plain sight for everyone to find.”[2]
Recently, data from Unpaywall for July 2019 has been used to forecast for growth in availability of articles published as OA by 2025, predicting on the basis of current trends, but conservatively – without even taking full account of the impact of Plan S, for example. This forecast for 2025 predicts
44% of all journal articles will be available as OA
Unpaywall’s estimate for availability OA right now is 31%. A third (growing soon to a half) is a significant proportion for anyone’s money, and wanting to signal the shift we have used that statistic as our headline on the page summarizing the most well-known and commonly-used Open Access browser plugins.
Screenshot of Open Access browser plugins webpage
We want the Cambridge researcher to know about these plugins and to be using them, and aim to give minimal but salient information for a selection of one, or several, to be made. Our recommendation is for the Lean Library extension “Library Access” but we have been in touch with Kopernio and QxMD and ensured that members of the University registering to use these plugins will also pick up the connection to our proxy server for seamless off campus access to subscription content where it exists, before the plugin offers an alternative OA version.
Once installed in the user’s browser, the plugin will use the DOI and/or a combination of article metadata elements to search the plugin’s database and multiple other data sources. A discreet, clickable pop-up icon will become live (change colour), on finding an OA article and will deliver the link or the PDF direct to the user’s desktop. Most plugins are compatible with most browsers, Lean’s Library Access adding compatibility with Safari last month.
Each plugin has a different history of development and certain features that distinguish it from others, and we’ve attempted to bring these out on the page. For example noting Unpaywall’s trustworthiness in the library space thanks to its exclusion of ResearchGate and Academia.edu; its harvesting and showing of licence metadata; and its reach with integrating search of its data via library discovery systems. Features we think are relevant for potential users looking for a quick overview of what’s out there are also mentioned, such as Kopernio’s Dropbox file storage benefits and integration with Web of Science and QxMD’s special applications for medical researchers and professionals.
In an adjacent page, Search Open Access, there is coverage of search engines focused on discovering OA content (Google Scholar; 1findr; Dimensions; CORE), a range of sites indexing OA content in different disciplines, both publisher- and community-based, and a selection of repositories and preprint servers, including OpenDOAR.
Screenshot of Search Open Access webpage
We hope the site design, based on the very cool Judge Business School Toolbox pages, gets across the basics about the OA plugins available and encourages their take-up. The plugins will definitely bring to the researcher OA alternative versions when subscription access puts the article behind a paywall and, regardless, will expose OA articles in search results that will otherwise be hard to find. The pages’ positioning top-left on the e-resources site is deliberately intended to grab attention, at least for reading left-to-right. It is interesting to see the approach other Universities have taken, using the LibGuide format for example at Queen’s University Belfast and at the University of Southampton.
Experiences with Lean Library’s Library Access plugin
Cambridge has had just over a year of experience implementing Lean Library’s Library Access plugin, and it’s been positive. The impetus for the institutional subscription to this product was as much to take action on the problem for the searcher of landing on publisher websites and struggling with Shibboleth federated sign-on. This problem is well documented (“spending hours of time to retrieve a minimal number of sources”) and most recently is being addressed by the RA21 project.[4] Equally though we wanted to promote OA content in the discovery process, and Lean Library’s latest development of its plugin to favour the delivery of the OA alternative before the default of the subscription version, is aligned with our values (considerations of versioning aside).
So we’re aiming to bring Lean to Cambridge researchers’ attention by recommending it as the plugin of choice for the period we’re in the transition to “immediate, free and unrestricted access” for all. It is only Lean that is providing the 24-hour updated and context-sensitive linking to our EZproxy server for off campus delivery of subscription content plus promoting OA alternative versions via the deployment of the Unpaywall database. The feedback from the Office of Scholarly Communication is favourable and the statistics support the positivity that we hear from our users (for the last year 66,731 for Google Scholar enhanced links; 49,556 article alternative views; a rough estimate against our EZproxy logs showing a probable 2/5 of off campus users are accessing the proxy via Lean).
One area of concern is the ownership of Lean by SAGE Publications, in contrast to the ownership say of Unpaywall as a project of the open-source ImpactStory, and what this means for users’ privacy. The concerns are shared by other libraries implementing Lean.[5] Our approach has been to make the extension’s privacy policy as prominent as possible on our page dedicated to promoting Lean, and to engage with Lean in depth over users’ concerns. We are satisfied with the answers to our questions from Lean and that our users’ data is adequately protected. Even in a rapidly changing arena for OA discovery tools the balance is not so fine when it comes to recommending installation of the Library Access plugin over a preference for the illegitimate and risk-prone SciHub.
Libraries’ discovery servicesare geared for subscription content
Allowing for influence of searchers’ discipline on choice of discovery service, it’s little surprise that the traditional library catalogue, even when upgraded to a web scale discovery service, prejudices inclusion of subscription over OA content. Of course it does, because this is the content the libraries pay for in the traditional subscription model and the discovery system is pretty much built around that. iDiscover is Cambridge’s discovery space for institutional subscriptions and print holdings of the University’s libraries and within iDiscover Open Access repository content has been enabled for search. Further, the pipe for the institutional repository content (Apollo) is established.
Nonetheless Cambridge will be looking to take advantage of the forthcoming link resolver service for Unpaywall. This is due for release in November 2019 and will surface a link to search Unpaywall from iDiscover when subscription content is unavailable. This link should kick in usually when the search in iDiscover is expanded beyond subscription content, and a form of which has been enabled already by at least one university by including the oadoi.org lookup in the Alma configuration.
The righting moment in the angle of list is that point a ship must find to keep it from capsizing, and Library discovery system providers’ integration with OA feels a bit like that – the OA indication was included in the May 2018 iDiscover release and suppliers have been working with CORE for inclusion of CORE content since 2017. That righting moment may be just over the horizon as integration with Unpaywall arrives, and the “competition” element dissipates, as the consultancy JISC used to review the OA discovery tools commented: “As the OA discovery landscape is crowded, OA discovery products compete for space and efficacy against established public infrastructure, library discovery services and commercial services”.[6]
A diffuse but developing landscape
Easy-to-install and effective to use, the OA discovery tools we are promoting are still widely thought of as at best providing a patch, a sticking-plaster, to the problem. A plethora of plugins is not necessarily what the researcher wants, or is attracted by, however necessary the plugin may be to saving time and exposing content in discovery. Possibly the really telling use case has yet to be tried wherein the plugin comes into its own in a big deal cancellation scenario.
Usage statistics for the Lean Library Access plugin are probably a reflection of the fact that the provision of most article content that is required by the University is available via IP access as subscription, and the need for the plugin is almost entirely limited to the off campus user. The Lean plugin’s relatively modest totals are though consistent with reports of plugin adoption by institutions that have cancelled big deals. The poll of the Bibsam Consortium members revealed 75% of researchers did not have any plug-in installed; the percentage for the University of Vienna in particular was 71%; the KTH Royal Institute of Technology authors “rarely used” a plugin.[7]
Another conjecture is that there is an antipathy to any plugin that could be collecting browsing history data and however “dumb” and programmatically-erased, the concern over privacy is such that the universal adoption libraries may hope for is unachievable. The likeliest explanation is possibly around the tipping-point from subscription to OA, and despite the Apollo repository’s usage being one of the highest in the country (1.1 million article downloads from July 2018 to July 2019), Cambridge’s reading of Gold OA is c. 13% of total subscription content, including journal archives. A comparison with the proportions of percentage views by OA types in Unpaywall’s recently published data (cited above) suggests this is on the low side in terms of worldwide trends, but it must be emphasized this is a subset of OA reading and excludes green, hybrid, and bronze. Just consider for instance the 1.5 billion downloads from arXiv globally to date.[8] Similarly, the stats from Unpaywall are overwhelmingly persuasive of the success of the plugin, as of February 2019 it delivered a million papers a day, 10 papers a second.
IRUS-UK growth of open access items since January 2016 (The red bars indicate total items, orange bars number of articles and green bars number of articles with DOIs. The blue line indicates the number of institutional repositories)
The inspirational statistician and “data artist” Edward Tufte wrote:
We thrive in information-thick worlds because of our marvellous and everyday capacities to select, edit, single out, structure, highlight, group, pair, merge, harmonize, synthesize, focus, organize, condense, reduce, boil down, choose, categorise, catalog, classify, list, abstract, scan, look into, idealize, isolate, discriminate, distinguish, screen, pigeonhole, pick over, sort, integrate, blend, inspect, filter, lump, skip, smooth, chunk, average, approximate, cluster, aggregate, outline, summarize, itemize, review, dip into, flip through, browse, glance into, leaf through, skim, refine, enumerate, glean, synopsize, winnow the wheat from the chaff, and separate the sheep from the goats.[9]
There’s thriving and there’s too much effort already. Any self-respecting OA plugin user will want to winnow, and make their own decisions on the plugin(s). In a less than 100% OA world, that combination of subscription and OA connection separated from physical location (on/off campus) is a critical advantage of the Lean Library offering, combined as it is with the Unpaywall database. Libraries will find much to critique in the institutional dashboards or analytics tools now built on top of some plugins (e.g. distinction of the physical location when accessing the alternative access version in the Kopernio usage for instance).
From the OA plugin user’s perspective, the emerging cutting edge is currently with the CORE Discovery plugin, as reported at the Open Repositories 2019 conference, in the “first large scale quantitative comparison” of Unpaywall, OA Button, CORE OA Discovery and Kopernio. This report reveals important truths for OA plugin critical adopters, for instance showing less than expected overlap in comparison of the plugins’ returned results from the test sample of DOIs, and the assertion “we can improve hit rate by combining the outputs from multiple discovery tools”.[10]
It’s become popular for our present day Johnson to quote his namesake, so in that vogue we should expect the take-up of Lean Library and CORE Discovery to bring closer that “resistless Day” when researchers the world over get “immediate, free and unrestricted access to all of the latest, peer-reviewed research” and the “misty Doubt” over the OA discovery landscape will be lifted.[11]
[1]
Flanagan, D. (2018). Open Access Discovery Workshop at the British Library, Living Knowledge blog 18 December 2018.
DOI: https://dx.doi.org/10.22020/v652-2876
[11] Johnson, S., In Eliot, T. S., Etchells, F., Macdonald, H., Johnson, S., & Chiswick Press,. (1930). London: a poem: And The vanity of human wishes. London: Frederick Etchells & Hugh Macdonald. l. 146.
Published Monday 21 October 2019
Written by James Caudwell (Deputy Head of Periodicals & Electronic Subscriptions Manager, Cambridge University Library)
The Cambridge Data Champions are an example of a community of volunteers engaged in promoting open research and good research data management (RDM). Currently entering its third year, the programme has attracted a total of 127 volunteers (86 current, 41 alumni) from diverse disciplinary backgrounds and positions. It continues to grow and has inspired similar initiatives at other universities within and outside the UK (Madsen, 2019). Dr Sacha Jones, Research Data Coordinator at the Office of Scholarly Communication, recently shared information about the programme at ‘FAIR Science: tricky problems and creative solutions’, an Open Science event held on 4th June 2019 at The Queen’s Medical Research Institute in Edinburgh, and organised by a previous Cambridge Data Champion – Dr Ralitsa Madsen. The aim of this event was to disseminate information about Open Science and promote the subsequent set-up of a network of Edinburgh Open Research Champions, with inspiration from the Cambridge Data Champion programme. Running a Data Champion programme, however, is not free of challenges. In this blog, Sacha highlights some of these alongside potential solutions in the hope that this information may be helpful to others. In this vein, Ralitsa adds her insights from ‘FAIR Science’ in Edinburgh and discusses how similar local events may spearhead the development of additional Open Science programmes/networks, thus broadening the local reach of this movement in the UK and beyond.
#FAIRscienceEDI
On 4 June 2019, the University of Edinburgh hosted ‘FAIR Science: tricky problems and creative solutions’ – a one-day event that brought together local life scientists and research support staff to discuss systemic flaws within current academic culture as well as potential solutions. Funded by the Institute for Academic Development and the UK Biochemical Society, the event was popular – with around 100 attendees – featuring both students, postdocs, principal investigators (PIs) and administrative staff. The programme featured talks by a range of local researchers – Dr Ralitsa Madsen (postdoctoral fellow and event organiser), Dr William Cawthorn (junior PI), Prof Robert Semple (Dean of Postgraduate Research and senior PI), Prof Malcolm Macleod (senior PI and member of the UK Reproducibility Network steering group), Prof Andrew Millar (senior PI and Chief Scientific Advisor on Environment, Natural Resources and Agriculture, for Scottish Government), Aki MacFarlene (Wellcome Trust Open Research Programme Officer), Dr Naomi Penfold (Associate Director, ASAPbio), Dr Nigel Goddard and Rory Macneil (RSpace developers) and Robin Rice (Research Data Service, University of Edinburgh), and Dr Sacha Jones (University of Cambridge). All slides have been made available via the Open Science Framework, and “live” tweets can be found via #FAIRScienceEDI.
Shifting the balance of research culture for the better. Image source: Presentation by Ralitsa Madsen, ‘Why FAIR Science and why now?’
Why is open science important? What is the extent of the reproducibility problem in science, and what are the responsibilities of individual stakeholders? Do all researchers need to engage with open research? Are the right metrics used when assessing researchers for appointment, promotion and funding? What are the barriers to widespread change, and can they be overcome through collective efforts? These were some of the ‘tricky’ problems that were addressed during the first half of the ‘Fair Science’ event, with the second half focussing on ‘creative solutions’, including: abandoning the journal impact factor in favour of alternative and fairer assessment criteria such as those proposed in DORA; preprinting of scientific articles and pre-registration of individual studies; new incentives introduced by funders like the Wellcome Trust who seek to promote Open Science; and data management tools such as electronic lab notebooks. Finally, the event sought to inspire local efforts in Edinburgh to establish a volunteer-driven network of Open Research Champions by providing insight into the maturing Data Champion programme at the University of Cambridge. This was a popular ‘creative solution’, with more than 20 attendees providing their contact details to receive additional information about Open Science and the set-up of a local network.
Overall, community engagement was a recurring theme during the ‘FAIR Science’ event, recognised as a catalyst required for research culture to change direction toward open practices and better science. Robert Semple discussed this in the greatest detail, suggesting that early stage researchers – PhDs and post-docs – are the building blocks of such a community, supported also by senior academics who have a responsibility to use their positions (e.g. as group leaders, editors) to promote open science. “Open Science is a responsibility also of individual groups and scientists, and grass roots efforts will be key to culture shift” (Robert Semple’s presentation). On a larger scale, Aki MacFarlene aptly stated that a supportive research ecosystem is needed to support open research; for example, where institutions as well as funders recognise and reward open practices.
Insights from the Cambridge Data Champion programme
The Data Champions at the University of Cambridge are an example of a community and a source of support for others in the research ecosystem. Promoting good RDM and the FAIR principles are two fundamental goals that Data Champions commit to when they join the programme. For some, endorsing open research practices is a fortuitous by-product of being part of the programme, yet for others, this is a key motivation for joining.
This word cloud depicts the reasons why the Cambridge Data Champions applied to become a Data Champion (the larger the text size, the more common the response). It is based on data from 105 applicants responding to the following: “What is your main motivation for becoming a Data Champion?”
Now that the Data Champion programme has been running for three years, what challenges does it face, and might disclosing these here – alongside ongoing efforts to solve them – help others to establish and maintain similar initiatives elsewhere?
Four main challenges are outlined that the programme either has or continues to experience. These are discussed in increasing scale of difficulty to overcome.
Support
Retention
Disciplinary coverage
Measuring effectiveness
(See also a recent article about the Data Champion programme by James Savage and Lauren Cadwallader.)
What challenges does the Cambridge Data Champion programme face and how may these be overcome? (image: CC0)
Support
At a basic level, an initiative like the Data Champion programme needs both financial and institutional support. The Data Champions commit their time on a voluntary basis, yet the management of the programme, its regular events and occasional ad hoc projects all require funds. Currently, the programme is secure, but we continue to seek funding opportunities to support a community that is both expanding and deserving of reward (e.g. small grants awarded to Data Champions to support their ‘championing’ activities). Institutional support is already in place and hopefully this will continue to consolidate and grow now that the University has publicly committed to supporting open research.
Retention
Not all Data Champions who join will remain Data Champions. In fact, there is a growing community of alumni Data Champions. There are currently 41 alumni Data Champions. From the feedback provided by just over half of these, 68% left the programme because they left the University of Cambridge (as expected given that the majority of Data Champions are either post-docs or PhD students), and 32% left because of a lack of time to commit to the role. Of course, there might be other reasons that we are not aware of, and we cannot speculate here in the absence of data. Feedback from Data Champions is actively sought and is an essential part of sustaining and developing this type of community.
We are exploring various methods to enhance retention. To combat the pressures of individuals’ workloads, we are being transparent about the time that certain activities will involve – a task or process may be less overwhelming when a time estimate is provided (cf ‘this survey should take approximately ten minutes to complete’). We also initiated peer-mentoring amongst Data Champions this year, in part to encourage a stronger community. We are attempting to enhance networking within the community in other ways, during group discussion sessions in the bimonthly forums, and via a virtual space where Data Champions can view each other’s data-related specialisms – with mutual support and collaboration as intended by-products. These are just a few examples, and given that Data Champions are volunteers, retention is one of several aspects of the programme that requires frequent assessment.
Disciplinary coverage
Cambridge has six Schools – Arts and Humanities, Humanities and Social Sciences, Biological Sciences, Physical Sciences, Clinical Medicine, and Technology – with faculties, departments, centres, units, institutes nested within these. The ideal situation would be for each research community (e.g. a department) to be supported by at least one Data Champion. Currently this is not the case, and the distribution of Data Champions across the different disciplinary areas is patchy. Biological Sciences is relatively well-represented by Data Champions (there are 22 Data Champions to represent around 1742 researchers in the School, i.e. 1.3%) (see bar chart below). There is a clear bias towards STEM (science, technology, engineering and maths) disciplines, yet representation in the social sciences is fair. At the more extreme end is an absence of Data Champions in the Arts and Humanities. We are looking to resolve this via a more targeted approach, guided in part by insights gained into researcher needs via the OSC’s training programme for arts, humanities and social sciences researchers.
The bars depict the number of Data Champions within each School. Percentage values give the number of Data Champions as a proportion of the total number of researchers within each School. For example, within the School of Clinical Medicine, the ratio of Data Champions to researchers is around 1:100 (researchers include contract and established researchers, and PhD students).
Measuring effectiveness
Determining how well the Data Champion programme is working is a sizeable challenge, as discussed previously. In those research communities represented by Data Champions, do we see improvements in data management, do we see a greater awareness of the FAIR principles, is there a change in research culture toward open research? These aspects are extremely difficult to measure and to assign to cause and effect, with multiple confounding factors to consider. We are working on how best to do this without overloading Data Champions and researchers with too many administrative tasks (e.g. surveys, questionnaires, etc.). Yet, the crux is for there to exist good communication and exchange of information between us (as a unit that is centrally managing the Data Champion programme) and the Data Champions, and between the Data Champions and the researchers who they are reaching out to and working with. We need to be the recipients of this information so that we can characterise the programme’s effectiveness and make improvements. As a start, the bimonthly Data Champion forums are used as an ideal venue to exchange and sound out ideas about best approaches, so that decisions on how to measure the programme’s impact lie also with the Data Champions.
A fifth challenge – recognition and reward
At the ‘FAIR Science’ event, two speakers (Naomi Penfold and Robert Semple) made a plea for those researchers who practise open science to be recognised for this – a change in reward culture is required. In a presentation centred on the misuse of metrics, Will Cawthorn referred to poor mental health in researchers as a result of the pressures of intrinsic but flawed methods of assessment. Understandably, DORA was mentioned multiple times at ‘FAIR Science’, and hopefully, with multiple universities including the University of Cambridge and University of Edinburgh as recent signatories of DORA, this marks the first steps toward a healthier and fairer researcher ecosystem. This may seem rather tangential to the Data Champions, but it is not: 66% of Data Champions, current and alumni, are or have been researchers (e.g. PhDs, post-docs, PIs). Despite the pressures of ‘publish or perish’, they have given precious time voluntarily to be a Data Champion and require recognition for this.
This raises a fifth challenge faced by the programme – how best to reward Data Champions for their contributions? Effectively addressing this may also help, via incentivisation, toward meeting three of the four challenges above – retention, coverage and measurement. While there is no official reward structure in place (see Higman et al. 2017), the benefits of being part of the programme are emphasised (networking opportunities, skills development, online presence as an expert, etc.), and we write to Heads of Departments so that Data Champions are recognised officially for their contributions. Is this enough? Perhaps not. We will address this issue via discussions at the September forum – how would those who are PhD students, post-docs, PIs, librarians, IT managers, data professionals (to name a few of the roles of Data Champions) like to be rewarded? In sharing these thoughts, we can then see what can be done.
Towards growing communities of volunteers
The Cambridge Data Champion programme is one among several UK- and Europe-wide initiatives that seek to promote good RDM and, more generally, Open Science. Their emergence speaks to a wider community interest and engagement in identifying solutions to some of the key issues haunting today’s academic culture (Madsen 2019). While the foundations of a network of Edinburgh Open Research Champions are still being laid, TU Delft in the Netherlands has already got their Data Champion programme up and running with inspiration from Cambridge. Independently, several Universities in the UK have also established their own Open Research groups, many of which are joined together through the recently established UK Reproducibility Network (UKRN) and the associated UK Network of Open Research Working Groups (UK-ORWG). Such integration fosters network crosstalk and is a step in the right direction, giving volunteers a stronger sense of ‘belonging’ while also actively working towards their formal recognition. Network crosstalk allows for beneficial resource sharing through centralised platforms such as the Open Science Framework or through direct knowledge exchange among neighbouring institutions. Following ‘FAIR Science’ in Edinburgh, for example, a meeting to discuss its outcome(s) involved members from Glasgow University’s Library Services (Valerie McCutcheon, Research Information Manager) and the UKRN’s local lead at Aberdeen University (Dr Jessica Butler, Research Fellow, Institute of Applied Health Science). Thus, similar to plans in Aberdeen, the ‘FAIR Science’ organisers are currently working with Edinburgh University’s Research Data Support team to adapt an Open Science survey developed and used at Cardiff University to guide the development of a specific Open Science strategy. This reflects the critical requirements for such strategies to be successful – active peer-to-peer engagement and community involvement to ensure that any initiatives match the needs of those who ought to benefit from them.
The long-term success of Open Science strategies – and any associated networks – will also hinge upon incorporation of formal recognition, as alluded to in the context of the Cambridge Data Champion programme. The importance of formal recognition of Open Science volunteers is also exemplified in SPARC Europe’s recent initiative – Europe’s Open Data Champions – which aims to showcase Open Data leaders who help ‘to change the hearts and minds of their peers towards more Openness’.
For formal recognition to gain traction, it will be critical to work towards recruitment of several prominent senior academics on board the Open Science wagon. By virtue of their academic status, such individuals will be able to put Open Science credentials high on the agenda of funding and academic institutions. Indeed, the establishment of the UKRN can be ascribed to a handful of senior researchers who have been able to secure financial support for this initiative, in addition to inspiring and nucleating local engagement across several UK universities. The ‘FAIR Science’ experience in Edinburgh supports this view. While difficult to prove, its impact would likely have been minimal without the involvement of prominent senior academics, including Professor Robert Semple (Dean of Postgraduate Research), Professor Malcolm Macleod (UKRN steering group member) and Professor Andrew Millar (Chief Scientific Advisor on Environment, Natural Resources and Agriculture, for Scottish Government). Thus, in addition to targeted and continuous communication by the ‘FAIR Science’ organisers before and after the event, ongoing efforts to establish a network of Edinburgh Open Research Champions has been dependent on these senior academics and their ability to mobilise essential forces throughout the University of Edinburgh.
Amongst several other factors, community engagement is central to making improvements toward reproducibility, Open Science and Open Research in general. There are multiple stakeholders involved with their own responsibilities, and senior academics are a notable part of this. Image source: Robert Semple’s presentation at #FAIRscienceEdi, ‘The “Reproducibility Crisis”: lessons learnt on the job’.
Top-down or bottom-up?
Establishing and maintaining a champions initiative need not be conceived of as succeeding via either a top-down or bottom-up approach. Instead, a combination of the best of both of these approaches is optimal, as hopefully comes across here. The emphasis on such initiatives being community driven is essential, yet structure is also required so as to ensure their maintenance and longevity. Hierarchies have little place in such communities – there are enough of these already in the ‘researcher ecosystem’ – and the beauty of such initiatives is that they bring together people from various contexts (e.g. in terms of role, discipline, institution). In this sense, the Cambridge Data Champions community is especially robust because of its diversity, being comprised of individuals who derive from highly varied roles and disciplinary backgrounds. Every champion brings their own individual strengths; collectively, this is a powerful resource in terms of knowledge and skills. Through acting on these strengths and acknowledging their responsibilities (e.g. to influence, teach, engage others), and by being part of a community like those described here, champions have the opportunity to make perhaps a wider contribution to research than ever anticipated, and certainly one that enhances its overall integrity.
References
Higman, R., Teperek, M. & Kingsley, D. (2017). Creating a community of Data Champions. International Journal of Digital Curation 12 (2): 96–106. DOI: https://doi.org/10.2218/ijdc.v12i2.562
Savage, J. & Cadwallader, L. (2019). Establishing, Developing, and Sustaining a Community of Data Champions. Data Science Journal 18 (23): 1–8. DOI: https://doi.org/10.5334/dsj-2019-023
