Tag Archives: research data management

Are academic librarians getting the training they need?

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As part of Open Access Week 2016, the Office of Scholarly Communication is publishing a series of blog posts on open access and open research. In this post Claire Sewell looks at the training of library staff in areas relating to scholarly communication.

The problem

Few people would deny that the world of the academic library is changing. Users are becoming more and more sophisticated in their information gathering techniques and the role of the academic librarian needs to adapt accordingly or risk being left behind. Librarians are changing from the traditional gatekeeper role to one which helps their research community to disseminate the outputs of their work.

This shift offers academic library staff new opportunities to move into research support roles. An increasing number of libraries are establishing scholarly communication departments and advertising for associated roles such as Repository Managers and Data Specialists.  It’s also becoming common to see more traditional academic library roles advertised asking for at least a working knowledge of areas such as Open Access and Research Data Management.

This is an issue that we have been considering in the Office of Scholarly Communication for a while. My role as Research Skills Coordinator involves up-skilling Cambridge library staff in these areas so I’m more aware than most that it is a full time job. But what happens to those who don’t have this type of opportunity through their work? How do they find out about these areas which will be so relevant to their future careers?

For many new professionals studying is their main chance to get a solid grounding in the information world but with the profession undergoing such rapid change is the education received via these degrees suitable for working in 21st century academic libraries? This is a question that has been raised many times in the profession in recent years so it’s time to dig a bit deeper.

Hypothesis

Our hypothesis is simple: there is a systematic lack of education on scholarly communication issues available to those entering the library profession. This is creating a time bomb skills gap in the academic library profession and unless action is taken we may well end up with a workforce not suited to work in the 21st century research library.

In order to test this hypothesis we have designed a survey aimed at those currently working in scholarly communication and associated areas. We hope that asking questions about the educational background of these workers we can work to determine the suitability of the library and information science qualification for these types of role into the future and how problems might be best addressed.

After a process of testing and reworking, our survey was launched to the scholarly communication community on October 11th 2016. In less than 24 hours there were over 300 responses, clearly indicating that the subject had touched a nerve for people working in the sector. (And thank you to those who have taken the time to respond).

Preliminary findings

We were pleased to see that even without prompting from the survey, respondents were picking up on many of the issues we wanted to address. For example, the original focus of the survey was the library and information science qualification and its impact on those working in scholarly communication.

When we piloted the survey with members of our own team we realised how diverse their backgrounds were and so widened the survey to target those who didn’t hold an LIS qualification but worked in this area. This has already given us valuable information about the impact that different educational backgrounds have on scholarly communication departments and has gained positive feedback from survey respondents.

Many of the respondents talk of developing the skills they use daily ‘on the job’. Whilst library and information professionals are heavily involved in lifelong learning and it’s natural for skills to develop as new areas emerge, the formal education new professionals receive also needs to keep pace. If even recent graduates have to develop the majority of skills needed for these roles whilst they work this paints a worrying picture of the education they are undertaking.

The survey responses have also raised the issue of which skills employers are really looking for in library course graduates and how these are provided. Respondents highlighted a range of skills that they needed in their roles – far more than were included in the original survey questions. This opens up discussions about the vastly differing nature of jobs within scholarly communication and how best to develop the skill set needed.

A final issue highlighted in the responses received so far is that a significant number of people working in scholarly communication roles come from outside the library sector. Of course this has benefits as they bring with them very valuable skills but importing knowledge in this way may also be contributing to a widening skills gap for information professionals that needs to be addressed.

Next steps

The first task at the end of the collection period (you have until 5pm BST Monday 31 October) will be to analyse the results and share them with the wider scholarly communication community. There are plans for a blog post, journal article and conference presentations. We will also be sharing the anonymised data via the Cambridge repository.

Following that our next steps depend largely on the responses we receive from the survey. We have begun the process of reaching out to other groups who may be interested in similar issues around professional education to see if we can work together to address some of the problems. None of this will happen overnight but we hope that by taking these initial steps we can work to create academic libraries geared towards serving the researchers of the 21st century.

One thing that the survey has done already is raise a lot of interesting questions which could form the basis of further research. It shows that there is scope to keep exploring this topic and help to make sure that library and information science graduates are well equipped to work in the 21st century academic library.

Published 27 October 2016
Written by Claire Sewell
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Walking the talk- reflections on working ‘openly’

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As part of Open Access Week 2016, the Office of Scholarly Communication is publishing a series of blog posts on open access and open research. In this post Dr Lauren Cadwallader discusses her experience of researching openly.

Earlier this year I was awarded the first Altmetric.com Annual Research grant to carry out a proof-of-concept study looking at using altmetrics as a way of identifying journal articles that eventually get included into a policy document. As part of the grant condition I am required to share this work openly. “No problem!” I thought, “My job is all about being open. I know exactly what to do.”

However, it’s been several years since I last carried out an academic research project and my previous work was carried out with no idea of the concept of open research (although I’m now sharing lots of it here!). Throughout my project I kept a diary documenting my reflections on being open (and researching in general) – mainly the mistakes I made along the way and the lessons I learnt. This blog summarises those lessons.

To begin at the beginning

I carried out a PhD at Cambridge not really aware of scholarly best practice. The Office of Scholarly Communication didn’t exist. There wasn’t anyone to tell me that I should share my data. My funder didn’t have any open research related policies. So I didn’t share because I didn’t know I could, or should, or why I would want to.

I recently attended The Data Dialogue conference and was inspired to hear many of the talks about open data but also realised that although I know some of the pitfalls researchers fall into I don’t quite feel equipped to carry out a project and have perfectly open and transparent methods and data at the end. Of course, if I’d been smart enough to attend an RDM workshop before starting my project I wouldn’t feel like this!

My PhD supervisor and the fieldwork I carried out had instilled in me some practices that are useful to carrying out open research:.

Lesson #1. Never touch your raw data files

This is something I learnt from my PhD and found easy to apply here. Altmetric.com sent me the data I requested for my project and I immediately saved it as the raw file and saved another version as my working file. That made it easy when I came to share my files in the repository as I could include the raw and edited data. Big tick for being open.

Getting dirty with the data

Lesson #2. Record everything you do

Another thing I was told to do during my PhD lab work was to record everything you do. And that is all well and good in the lab or the field but what about when you are playing with your data? I found I started cleaning up the spreadsheet Altmetric.com sent and I went from having 36 columns to just 12 but I hadn’t documented my reasons for excluding large swathes of data. So I took a step back and filled out my project notebook explaining my rationale. Documenting every decision at the time felt a little bit like overkill but if I need to articulate my decisions for excluding data from my analysis in the future (e.g. during peer review) then it would be helpful to know what I based my reasoning on.

Lesson #3. Date things. Actually, date everything

I’d been typing up my notes about why some data is excluded and others not so it informs my final data selection and I’d noticed that I’d been making decisions and notes as I go along but not recording when. If I’m trying to unpick my logic at a later date it is helpful if I know when I made a decision. Which decision came first? Did I have all my ‘bright ideas’ on the same day and now the reason they don’t look so bright is was because I was sleep deprived (or hungover in the case of my student days) and not thinking straight. Recording dates is actually another trick I learnt as a student – data errors can be picked up as lab or fieldwork errors if you can work back and see what you did when – but have forgotten to apply thus far. In fact, it was only at this point that I began dating my diary entries…

Lesson #4. A tidy desk(top) is a tidy mind

Screen Shot 2016-10-24 at 13.21.11I was working on this project just one day a week over the summer so every week I was having to refresh my mind as to where I stopped the week before and what my plans were that week. I was, of course, now making copious notes about my plans and dating decisions so this was relatively easy. However, upon returning from a week’s holiday, I opened my data files folder and was greeted by 10 different spreadsheets and a few other files. It took me a few moments to work out which files I needed to work on, which made me realise I needed to do some housekeeping.

Aside from making life easier now, it will make the final write up and sharing easier if I can find things and find the correct version. So I went from messy computer to tidy computer and could get back to concentrating on my analysis rather than worrying if I was looking at the right spreadsheet.

 

Lesson #5. Version control

One morning I had been working on my data adding in information from other sources and everything was going swimmingly when I realised that I hadn’t included all of my columns in my filters and now my data was all messed up. To avoid weeping in my office I went for a cup of tea and a biscuit.

Upon returning to my desk I crossed my fingers and managed to recover an earlier version of my spreadsheet using a handy tip I’d found online. Phew! I then repeated my morning’s work. Sigh. But at least my data was once again correct. Instead of relying on handy tips discovered by frantic Googling, just use version control. Archive your files periodically and start working on a new version. Tea and biscuits cannot solve everything.

Getting it into the Open

After a couple more weeks of problem free analysis it was time to present my work as a poster at the 3:AM Altmetrics conference. I’ve made posters before so that was easy. It then dawned on me at about 3pm the day I needed to finish the poster that perhaps I should share a link to my data. Cue a brief episode of swearing before realising I sit 15ft away from our Research Data Advisor and she would help me out! After filling out the data upload form for our institutional repository to get a placeholder record and therefore DOI for my data, I set to work making my spreadsheet presentable.

Lesson #6. Making your data presentable can be hard work if you are not prepared

I only have a small data set but it took me a lot longer than I thought it would to make it sharable. Part of me was tempted just to share the very basic data I was using (the raw file from Altmetric.com plus some extra information I had added) but that is not being open to reproducibility. People need to be able to see my workings so I persevered.

I’d labelled the individual sheets and the columns within those sheets in a way that was intelligible to me but not necessarily to other people so they all needed renaming. Then I had to tidy up all the little notes I’d made in cells and put those into a Read Me file to explain some things. And then I had to actually write the Read Me file and work out the best format for it (a neutral text file or pdf is best).

I thought I was finished but as our Research Data Advisor pointed out, my spreadsheets were returning a lot of errors because of the formula I was using (it was taking issue with me asking it to divide something by 0) and that I should share one file that included the formulae and one with just the numbers.

If I’d had time, I would have gone for a cup of tea and a biscuit to avoid weeping in the office but I didn’t have time for tea or weeping. Actually producing a spreadsheet without formulae turned out to be simple once I’d Googled how to do it and then my data files were complete. All I then needed to do was send them to the Data team and upload a pdf of my poster to the repository. Job done! Time to head to the airport for the conference!

Lesson #7. Making your work open is very satisfying.

Just over three weeks have passed since the conference and I’m amazed that already my poster has been viewed on the repository 84 times and my data has been viewed 153 times! Wowzers! That truly is very satisfying and makes me feel that all the effort and emergency cups of tea were worth it. As this was a proof-of-concept study I would be very happy for someone to use my work, although I am planning to keep working on it. Seeing the usage stats of my work and knowing that I have made it open to the best of my ability is really encouraging for the future of this type of research. And of course, when I write these results up with publication in mind it will be as an open access publication.

But first, it’s time for a nice relaxed cup of tea.

Published 25 October 2016
Written by Dr Lauren Cadwallader
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Making the connection: research data network workshop

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During International Data Week 2016, the Office of Scholarly Communication is celebrating with a series of blog posts about data. The first post was a summary of an event we held in July. This post looks at the challenges associated with financially supporting RDM training.

corpus-main-hallFollowing the success of hosting the Data Dialogue: Barriers to Sharing event  in July we were delighted to welcome the Research Data Management (RDM) community to Cambridge for the second Jisc research data network workshop. The event was held in Corpus Christi College with meals held in the historical dining room. (Image: Corpus Christi )

RDM services in the UK are maturing and efforts are increasingly focused on connecting disparate systems, standardising practices and making platforms more usable for researchers. This is also reflected in the recent Concordat on Research Data which links the existing statements from funders and government, providing a more unified message for researchers.

The practical work of connecting the different systems involved in RDM is being led by the Jisc Research Data Shared Services project which aims to share the cost of developing services across the UK Higher Education sector. As one of the pilot institutions we were keen to see what progress has been made and find out how the first test systems will work. On a personal note it was great to see that the pilot will attempt to address much of the functionality researchers request but that we are currently unable to fully provide, including detailed reporting on research data, links between the repository and other systems, and a more dynamic data display.

Context for these attempts to link, standardise and improve RDM systems was provided in the excellent keynote by Dr Danny Kingsley, head of the Office of Scholarly Communication at Cambridge, reminding us about the broader need to overhaul the reward systems in scholarly communications. Danny drew on the Open Research blogposts published over the summer to highlight some of the key problems in scholarly communications: hyperauthorship, peer review, flawed reward systems, and, most relevantly for data, replication and retraction. Sharing data will alleviate some of these issues but, as Danny pointed out, this will frequently not be possible unless data has been appropriately managed across the research lifecycle. So whilst trying to standardise metadata profiles may seem irrelevant to many researchers it is all part of this wider movement to reform scholarly communication.

Making metadata work

Metadata models will underpin any attempts to connect repositories, preservation systems, Current Research Information Systems (CRIS), and any other systems dealing with research data. Metadata presents a major challenge both in terms of capturing the wide variety of disciplinary models and needs, and in persuading researchers to provide enough metadata to make preservation possible without putting them off sharing their research data. Dom Fripp and Nicky Ferguson are working on developing a core metadata profile for the UK Research Data Discovery Service. They spoke about their work on developing a community-driven metadata standard to address these problems. For those interested (and Git-Hub literate) the project is available here.

They are drawing on national and international standards, such as the Portland Common Data Model, trying to build on existing work to create a standard which will work for the Shared Services model. The proposed standard will have gold, silver and bronze levels of metadata and will attempt to reward researchers for providing more metadata. This is particularly important as the evidence from Dom and Nicky’s discussion with researchers is that many researchers want others to provide lots of metadata but are reluctant to do the same themselves.

We have had some success with researchers filling in voluntary metadata fields for our repository, Apollo, but this seems to depend to a large extent on how aware researchers are of the role of metadata, something which chimes with Dom and Nicky’s findings. Those creating metadata are often unaware of the implications of how they fill in fields, so creating consistency across teams, let alone disciplines and institutions can be a struggle. Any Cambridge researchers who wish to contribute to this metadata standard can sign up to a workshop with Jisc in Cambridge on 3rd October.

Planning for the long-term

A shared metadata standard will assist with connecting systems and reducing researchers’ workload but if replicability, a key problem in scholarly communications, is going to be possible digital preservation of research data needs to be addressed. Jenny Mitcham from the University of York presented the work she has been undertaking alongside colleagues from the University of Hull on using Archivematica for preserving research data and linking it to pre-existing systems (more information can be found on their blog.)

Jenny highlighted the difficulties they encountered getting timely engagement from both internal stakeholders and external contractors, as well as linking multiple systems with different data models, again underlining the need for high quality and interoperable metadata. Despite these difficulties they have made progress on linking these systems and in the process have been able to look into the wide variety of file formats currently in use at York. This has lead to conversations with the National Archive about improving the coverage of research file formats in PRONOM (a registry of file formats for preservation purposes), work which will be extremely useful for the Shared Services pilot.

In many ways the project at York and Hull felt like a precursor to the Shared Services pilot; highlighting both the potential problems in working with a wide range of stakeholders and systems, as well as the massive benefits possible from pooling our collective knowledge and resources to tackle the technical challenges which remain in RDM.

Published 14 September 2016
Written by Rosie Higman
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