Tag Archives: open data

DwD2018 – Videos now on Media Hopper

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Dealing with Data 2018 was once again a great success in November last year with over 100 university staff and Post-Graduate students joining us to hear presentations on topics as diverse as sharing data in clinical trials and embedding sound files in linguistics research papers.

As promised the videos of each presentation have now been made publicly available on Media Hopper (https://media.ed.ac.uk/channel/Dealing%2BWith%2BData%2BConference/82256222), while the PDFs can be found on https://www.era.lib.ed.ac.uk/handle/1842/25859. You can also read Martin Donnelly’s reflections on the day https://libraryblogs.is.ed.ac.uk/2018/11/28/dealing-with-data-2018-summary-reflections/.

We hope that these will prove both useful and interesting to all of our colleagues who were unable to attend.

We look forward to seeing you at Dealing with Data 2019.

Dealing With Data 2018: Summary reflections

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The annual Dealing With Data conference has become a staple of the University’s data-interest calendar. In this post, Martin Donnelly of the Research Data Service gives his reflections on this year’s event, which was held in the Playfair Library last week.

One of the main goals of open data and Open Science is that of reproducibility, and our excellent keynote speaker, Dr Emily Sena, highlighted the problem of translating research findings into real-world clinical interventions which can be relied upon to actually help humans. Other challenges were echoed by other participants over the course of the day, including the relative scarcity of negative results being reported. This is an effect of policy, and of well-established and probably outdated reward/recognition structures. Emily also gave us a useful slide on obstacles, which I will certainly want to revisit: examples cited included a lack of rigour in grant awards, and a lack of incentives for doing anything different to the status quo. Indeed Emily described some of what she called the “perverse incentives” associated with scholarship, such as publication, funding and promotion, which can draw researchers’ attention away from the quality of their work and its benefits to society.

However, Emily reminded us that the power to effect change does not just lie in the hands of the funders, governments, and at the highest levels. The journal of which she is Editor-in-Chief (BMJ Open Science) has a policy commitment to publish sound science regardless of positive or negative results, and we all have a part to play in seeking to counter this bias.

Photo-collage of several speakers at the event

A collage of the event speakers, courtesy Robin Rice (CC-BY)

In terms of other challenges, Catriona Keerie talked about the problem of transferring/processing inconsistent file formats between heath boards, causing me to wonder if it was a question of open vs closed formats, and how could such a situation might have been averted, e.g. via planning, training (and awareness raising, as Roxanne Guildford noted), adherence to the 5-star Open Data scheme (where the third star is awarded for using open formats), or something else? Emily earlier noted a confusion about which tools are useful – and this is a role for those of us who provide tools, and for people like myself and my colleague Digital Research Services Lead Facilitator Lisa Otty who seek to match researchers with the best tools for their needs. Catriona also reminded us that data workflow and governance were iterative processes: we should always be fine-tuning these, and responding to new and changing needs.

Another theme of the first morning session was the question of achieving balances and trade-offs in protecting data and keeping it useful. And a question from the floor noted the importance of recording and justifying how these balance decisions are made etc. David Perry and Chris Tuck both highlighted the need to strike a balance, for example, between usability/convenience and data security. Chris spoke about dual testing of data: is it anonymous? / is it useful? In many cases, ideally it will be both, but being both may not always be possible.

This theme of data privacy balanced against openness was taken up in Simon Chapple’s presentation on the Internet of Things. I particularly liked the section on office temperature profiles, which was very relevant to those of us who spend a lot of time in Argyle House where – as in the Playfair Library – ambient conditions can leave something to be desired. I think Simon’s slides used the phrase “Unusual extremes of temperatures in micro-locations.” Many of us know from bitter experience what he meant!

There is of course a spectrum of openness, just as there are grades of abstraction from the thing we are observing or measuring and the data that represents it. Bert Remijsen’s demonstration showed that access to sound recordings, which compared with transcription and phonetic renderings are much closer to the data source (what Kant would call the thing-in-itself (das Ding an sich) as opposed to the phenomenon, the thing as it appears to an observer) is hugely beneficial to linguistic scholarship. Reducing such layers of separation or removal is both a subsidiary benefit of, and a rationale for, openness.

What it boils down to is the old storytelling adage: “Don’t tell, show.” And as Ros Attenborough pointed out, openness in science isn’t new – it’s just a new term, and a formalisation of something intrinsic to Science: transparency, reproducibility, and scepticism. By providing access to our workings and the evidence behind publications, and by joining these things up – as Ewan McAndrew described, linked data is key (this the fifth star in the aforementioned 5-star Open Data scheme.) Open Science, and all its various constituent parts, support this goal, which is after all one of the goals of research and of scholarship. The presentations showed that openness is good for Science; our shared challenge now is to make it good for scientists and other kinds of researchers. Because, as Peter Bankhead says, Open Source can be transformative – Open Data and Open Science can be transformative. I fear that we don’t emphasise these opportunities enough, and we should seek to provide compelling evidence for them via real-world examples. Opportunities like the annual Dealing With Data event make a very welcome contribution in this regard.

PDFs of the presentations are now available in the Edinburgh Research Archive (ERA). Videos from the day are published on MediaHopper.

Other resources

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Martin Donnelly
Research Data Support Manager
Library and University Collections
University of Edinburgh

open.ed report

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Lorna M. Campbell, a Digital Education Manager with EDINA and the University of Edinburgh, writes about the ideas shared and discussed at the open.ed event this week.

 

Earlier this week I was invited by Ewan Klein and Melissa Highton to speak at Open.Ed, an event focused on Open Knowledge at the University of Edinburgh.  A storify of the event is available here: Open.Ed – Open Knowledge at the University of Edinburgh.

“Open Knowledge encompasses a range of concepts and activities, including open educational resources, open science, open access, open data, open design, open governance and open development.”

 – Ewan Klein

Ewan set the benchmark for the day by reminding us that open data is only open by virtue of having an open licence such as CC0, CC BY, CC SA. CC Non Commercial should not be regarded as an open licence as it restricts use.  Melissa expanded on this theme, suggesting that there must be an element of rigour around definitions of openness and the use of open licences. There is a reputational risk to the institution if we’re vague about copyright and not clear about what we mean by open. Melissa also reminded us not to forget open education in discussions about open knowledge, open data and open access. Edinburgh has a long tradition of openness, as evidenced by the Edinburgh Settlement, but we need a strong institutional vision for OER, backed up by developments such as the Scottish Open Education Declaration.

open_ed_melissa

I followed Melissa, providing a very brief introduction to Open Scotland and the Scottish Open Education Declaration, before changing tack to talk about open access to cultural heritage data and its value to open education. This isn’t a topic I usually talk about, but with a background in archaeology and an active interest in digital humanities and historical research, it’s an area that’s very close to my heart. As a short case study I used the example of Edinburgh University’s excavations at Loch na Berie broch on the Isle of Lewis, which I worked on in the late 1980s. Although the site has been extensively published, it’s not immediately obvious how to access the excavation archive. I’m sure it’s preserved somewhere, possibly within the university, perhaps at RCAHMS, or maybe at the National Museum of Scotland. Where ever it is, it’s not openly available, which is a shame, because if I was teaching a course on the North Atlantic Iron Age there is some data form the excavation that I might want to share with students. This is no reflection on the directors of the fieldwork project, it’s just one small example of how greater access to cultural heritage data would benefit open education. I also flagged up a rather frightening blog post, Dennis the Paywall Menace Stalks the Archives,  by Andrew Prescott which highlights the dangers of what can happen if we do not openly licence archival and cultural heritage data – it becomes locked behind commercial paywalls. However there are some excellent examples of open practice in the cultural heritage sector, such as the National Portrait Gallery’s clearly licensed digital collections and the work of the British Library Labs. However openness comes at a cost and we need to make greater efforts to explore new business and funding models to ensure that our digital cultural heritage is openly available to us all.

Ally Crockford, Wikimedian in Residence at the National Library of Scotland, spoke about the hugely successful Women, Science and Scottish History editathon recently held at the university. However she noted that as members of the university we are in a privileged position in that enables us to use non-open resources (books, journal articles, databases, artefacts) to create open knowledge. Furthermore, with Wikpedia’s push to cite published references, there is a danger of replicating existing knowledge hierarchies. Ally reminded us that as part of the educated elite, we have a responsibility to open our mindsets to all modes of knowledge creation. Publishing in Wikipedia also provides an opportunity to reimagine feedback in teaching and learning. Feedback should be an open participatory process, and what better way for students to learn this than from editing Wikipedia.

Robin Rice, of EDINA & Data Library, asked the question what does Open Access and Open Data sharing look like? Open Access publications are increasingly becoming the norm, but we’re not quite there yet with open data. It’s not clear if researchers will be cited if they make their data openly available and career rewards are uncertain. However there are huge benefits to opening access to data and citizen science initiatives; public engagement, crowd funding, data gathering and cleaning, and informed citizenry. In addition, social media can play an important role in working openly and transparently.

Robin Rice

James Bednar, talking about computational neuroscience and the problem of reproducibility, picked up this theme, adding that accountability is a big attraction of open data sharing. James recommended using iPython Notebook   for recording and sharing data and computational results and helping to make them reproducible. This promoted Anne-Marie Scott to comment on twitter:

@ammienoot: "Imagine students creating iPython notebooks... and then sharing them as OER #openEd"

“Imagine students creating iPython notebooks… and then sharing them as OER #openEd”

Very cool indeed.

James Stewart spoke about the benefits of crowdsourcing and citizen science.   Despite the buzz words, this is not a new idea, there’s a long tradition of citizens engaging in science. Darwin regularly received reports and data from amateur scientists. Maintaining transparency and openness is currently a big problem for science, but openness and citizen science can help to build trust and quality. James also cited Open Street Map as a good example of building community around crowdsourcing data and citizen science. Crowdsourcing initiatives create a deep sense of community – it’s not just about the science, it’s also about engagement.

open._ed_james

After coffee (accompanied by Tunnocks caramel wafers – I approve!) We had a series of presentations on the student experience and students engagement with open knowledge.

Paul Johnson and Greg Tyler, from the Web, Graphics and Interaction section of IS,  spoke about the necessity of being more open and transparent with institutional data and the importance of providing more open data to encourage students to innovate. Hayden Bell highlighted the importance of having institutional open data directories and urged us to spend less time gathering data and more making something useful from it. Students are the source of authentic experience about being a student – we should use this! Student data hacks are great, but they often have to spend longer getting and parsing the data than doing interesting stuff with it. Steph Hay also spoke about the potential of opening up student data. VLEs inform the student experience; how can we open up this data and engage with students using their own data? Anonymised data from Learn was provided at Smart Data Hack 2015 but students chose not to use it, though it is not clear why.  Finally, Hans Christian Gregersen brought the day to a close with a presentation of Book.ed, one of the winning entries of the Smart Data Hack. Book.ed is an app that uses open data to allow students to book rooms and facilities around the university.

What really struck me about Open.Ed was the breadth of vision and the wide range of open knowledge initiatives scattered across the university.  The value of events like this is that they help to share this vision with fellow colleagues as that’s when the cross fertilisation of ideas really starts to take place.

This report first appeared on Lorna M. Campbell’s blog, Open World:  lornamcampbell.wordpress.com/2015/03/11/open-ed

P.S. another interesting talk came from Bert Remijsen, who spoke of the benefits he has found from publishing his linguistics research data using DataShare, particularly the ability to enable others to hear recordings of the sounds, words and songs described in his research papers, spoken and sung by the native speakers of Shilluk, with whom he works during his field research in South Sudan.

Leading a Digital Curation ‘Lifestyle’: First day reflections on IDCC15

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[First published on the DCC Blog, republished here with permission.]

Okay that title is a joke, but an apt one to name a brief reflection of this year’s International Digital Curation Conference in London this week, with the theme of looking ten years back and ten years forward since the UK Digital Curation Centre was founded.

The joke references an alleged written or spoken mistake someone made in referring to the Digital Curation lifecycle model, gleefully repeated on the conference tweetstream (#idcc15). The model itself, as with all great reference works, both builds on prior work and was a product of its time – helping to add to the DCC’s authority within and beyond the UK where people were casting about for common language and understanding in this new terrain of digital preservation, data curation, and – a perplexing combination of terms which perhaps still hasn’t quite taken off, ‘digital curation’ (at least not to the same extent as ‘research data management’). I still have my mouse-mat of the model and live with regrets it was never made into a frisbee.

Digital Curation Lifecycle

The Digital Curation Lifecycle Model, Sarah Higgins & DCC, 2008

They say about Woodstock that ‘if you remember it you weren’t really there’, so I don’t feel too bad that it took Tony Hey’s coherent opening plenary talk to remind me of where we started way back in 2004 when a small band under the directorship of Peter Burnhill (services) and Peter Buneman (research) set up the DCC with generous funding from Jisc and EPSRC. Former director Chris Rusbridge likes to talk about ‘standing on the shoulders of giants’ when describing long-term preservation, and Tony reminded us of the important, immediate predecessors of the UK e-Science Programme and the ground-breaking government investment in the Australian National Data Service (ANDS) that was already changing a lot of people’s lifestyles, behaviours and outlooks.

Traditionally the conference has a unique format that focuses on invited panels and talks on the first day, with peer-reviewed research and practice papers on the second, interspersed with demos and posters of cutting edge projects, followed by workshops in the same week. So whilst I always welcome the erudite words of the first day’s contributors, at times there can be a sense of, ‘Wait – haven’t things moved on from there already?’ So it was with the protracted focus on academic libraries and the rallying cries of the need for them to rise to the ‘new’ challenges during the first panel session chaired by Edinburgh’s Geoffrey Boulton, focused ostensibly on international comparisons. Librarians – making up only part of the diverse audience – were asking each other during the break and on twitter, isn’t that exactly what they have been doing in recent years, since for example, the NSF requirements in the States and the RCUK and especially EPSRC rules in the UK, for data management planning and data sharing? Certainly the education and skills of data curators as taught in iSchools (formerly Library Schools) has been a mainstay of IDCC topics in recent years, this one being no exception.

But has anything really changed significantly, either in libraries or more importantly across academia since digital curation entered the namespace a decade ago? This was the focus of a panel led by the proudly impatient Carly Strasser, who has no time for ‘slow’ culture change, and provocatively assumes ‘we’ must be doing something wrong. She may be right, but the panel was divided. Tim DiLauro observed that some disciplines are going fast and some are going slow – depending on whether technology is helping them get the business of research done. And even within disciplines there are vast differences –-perhaps proving the adage that ‘the future is here, it’s just not distributed yet’.

panel session

Carly Strasser’s Panel Session, IDCC15

Geoffrey Bilder spoke of tipping points by looking at how recently DOIs (Digital Object Identifiers, used in journal publishing) meant nothing to researchers and how they have since caught on like wildfire. He also pointed blame at the funding system which focuses on short-term projects and forces researchers to disguise their research bids as infrastructure bids – something they rightly don’t care that much about in itself. My own view is that we’re lacking a killer app, probably because it’s not easy to make sustainable and robust digital curation activity affordable and time-rewarding, never mind profitable. (Tim almost said this with his comparison of smartphone adoption). Only time will tell if one of the conference sponsors proves me wrong with its preservation product for institutions, Rosetta.

It took long-time friend of the DCC Clifford Lynch to remind us in the closing summary (day 1) of exactly where it was we wanted to get to, a world of useful, accessible and reproducible research that is efficiently solving humanity’s problems (not his words). Echoing Carly’s question, he admitted bafflement that big changes in scholarly communication always seem to be another five years away, deducing that perhaps the changes won’t be coming from the publishers after all. As ever, he shone a light on sticking points, such as the orthogonal push for human subject data protection, calling for ‘nuanced conversations at scale’ to resolve issues of data availability and access to such datasets.

Perhaps the UK and Scotland in particular are ahead in driving such conversations forward; researchers at the University of Edinburgh co-authored a report two years ago for the government on “Public Acceptability of Data Sharing Between the Public, Private and Third Sectors for Research Purposes,” as a pre-cursor to innovations in providing researchers with secure access to individual National Health Service records linked to other forms of administrative data when informed consent is not possible to achieve.

Given the weight of this societal and moral barrier to data sharing, and the spread of topics over the last 10 years of conferences, I quite agree with Laurence Horton, one of the panelists, who said that the DCC should give a particular focus to the Social Sciences at next year’s conference.

Robin Rice
Data Librarian (and former Project Coordinator, DCC)
University of Edinburgh