Posts By / dbailyes

Producing FAIR research data – Reusable

Findable Accessible Interoperable Reusable

FAIR guiding principles for data resources (SanguaPundir 2016) CC-BY-SA

FAIR aims to improve the value and impact of research data by ensuring it is Findable, Accessible, Interoperable and Re-useable. All data produced by researchers at BU should be FAIR, and many journals and funders have made it a condition for successful submission or grant applications. Over a series of posts I will look at each one and explain what this means for the data you produce. Click here if you want to read the previous posts on FindabilityAccessibility and Interoperability. 

Reusable

Imagine you have found a promising dataset to use in a study. It is freely available to download, and it is in an open format you can use. However, your heart sinks when the spreadsheet opens only to discover that it makes no sense! The column headings are in code, and the figures in the table are meaningless…  

Most data are only reusable if they come with appropriate labels or documentation. Most repositories require a READ ME file to be deposited along with the data. The question you should ask is:  

If I were to access this dataset as someone with no prior association with the project, what information would I need to make sense of the data and to use it in my own study with confidence”?   

The answer to this question will vary from project to project. Examples include: 

  • Descriptions of the column headings found in spreadsheets. 
  • The coding schema used to analyse interview transcripts. 
  • Descriptions of how data was collected (if more detail is needed for someone to replicate a study). 
  • Details of any changes made to the data. 
  • An annotated bibliography listing and describing any code/algorithms (particularly helpful if a lot of separate files containing code/algorithms were deposited). 

In addition to this sort of contextual information, an appropriate license should be applied to your data when it is deposited. The license will make clear under what conditions the data can be re-used. Creative Commons licenses are the most common. The CC-BY license, for example, will allow re-use for any reason provided the data creator is acknowledged (cited).    

 

For more information visit the Library’s Research Data Management guide or email bordar@bournemouth.ac.uk. 

 

Dan Bailyes 

Faculty Librarian (FMC) and LLS lead for Research Data Management (RDM) 

 

References

SanguaPundir.,  2016. FAIR guiding principles for data resources [image]. Wikimedia Commons. Available from: https://commons.wikimedia.org/wiki/File:FAIR_data_principles.jpg [Accessed 08 July 2021].

Producing FAIR research data – Interoperable

Findable Accessible Interoperable Reusable

FAIR guiding principles for data resources (SanguaPundir 2016) CC-BY-SA

FAIR aims to improve the value and impact of research data by ensuring it is Findable, Accessible, Interoperable and Re-useable. All data produced by researchers at BU should be FAIR, and many journals and funders have made it a condition for successful submission or grant applications. Over a series of posts I will look at each one and explain what this means for the data you produce. Click here if you want to read the previous posts on Findability and Accessibility. 

Interoperable 

Researchers may well be able to find your data without restrictions (Findable, Accessible), but they may not be able to use your data if it is not available in a useable format. Imagine if valuable data was only available on a floppy disk… Not much use to most of us! 

Data can be opened-up to more people if we make them available in open, interoperable formats. The UK Data Service has a list of recommended formats. Spreadsheets, for example, should be saved as .csv files. This is an open format, so users do not necessarily need a paid for solution like Microsoft Excel to open it.  

 

For more information visit the Library’s Research Data Management guide or email bordar@bournemouth.ac.uk. 

 

Dan Bailyes 

Faculty Librarian (FMC) and LLS lead for Research Data Management (RDM) 

 

References

SanguaPundir.,  2016. FAIR guiding principles for data resources [image]. Wikimedia Commons. Available from: https://commons.wikimedia.org/wiki/File:FAIR_data_principles.jpg [Accessed 08 July 2021].

Producing FAIR research data – Accessible

Findable Accessible Interoperable Reusable

FAIR guiding principles for data resources (SanguaPundir 2016) CC-BY-SA

FAIR aims to improve the value and impact of research data by ensuring it is Findable, Accessible,Interoperable and Re-useableMany journals and funders have made it a condition for successful submission or grant applications. Over a series of posts I will look at each one and explain what this means for the data you produce. Click here if you want to read the previous poson Findability. 

Accessible 

Research data should be “as open as possible, as closed as necessary” (Horizon 2020). It should be available freely for others to use and restricted only so far as to meet legal and ethical requirements. A few things should be considered at the planning stage to ensure that your data cannot only be found, but can also be accessed: 

Some repositories allow access to data to be restricted. For example, if it is not possible to anonymise sensitive data. This needs to be stated clearly in your Data Management Plan (DMP) as funders/journals will usually need to review this.   

 

For more information visit the Library’s Research Data Management guide or email bordar@bournemouth.ac.uk. 

 

Dan Bailyes 

Faculty Librarian (FMC) and LLS lead for Research Data Management (RDM) 

 

References

SanguaPundir.,  2016. FAIR guiding principles for data resources [image]. Wikimedia Commons. Available from: https://commons.wikimedia.org/wiki/File:FAIR_data_principles.jpg [Accessed 08 July 2021].

Producing FAIR research data – Findable

Findable Accessible Interoperable Reusable

FAIR guiding principles for data resources (SanguaPundir 2016) CC-BY-SA

FAIR aims to improve the value and impact of research data by ensuring it is Findable, Accessible, Interoperable and Re-useable. All data produced by researchers at BU should be FAIR, and many journals and funders have made it a condition for successful submission or grant applications. Over a series of posts I will look at each one and explain what this means for the data you produce.

Findable

Data can only be used to validate findings or to make new discoveries if it can be found in the first place. How do you ensure your data is visible?

  1. At the conclusion of your research project, deposit your data in a suitable repository. Preferably this would be in a disciplinary repository recognised by your research community. Some funders and publishers will specify which repository they want. You need to be aware that some repositories charge for their services, so you need to take this into account in the planning stages if bidding for funding. The Registry of Research Data Repositories (re3data) is a good place to look.
  2. BU’s own data repository (BORDaR) is an option if no suitable alternative is available. There is no charge, and a Digital Object Identifier (DOI) will be generated which you can pass on to publishers to link any outputs to the original data. Even if data is deposited in an external repository, a record is created in BORDaR to link to it. This will make your data visible to anyone browsing/searching for data created by BU researchers. You will need to email bordar@bournemouth.ac.uk so we can create the record.
  3. Data in a repository is still effectively hidden if it is not provided with descriptive information (metadata) that can be picked up by search engines or people browsing. For example, consider:
  • Giving your dataset and file names descriptive titles. A title like ‘project data’ is not going to be terribly useful to anyone browsing a list of results.
  • Use controlled vocabularies, where available, to assign keywords to your data.
  • Provide an abstract that explains clearly what the data is and how it was used in your context.

If you were looking for datasets to support a future research project, what sort of information would you need to see to make the task as easy as possible?

For more information visit the Library’s Research Data Management guide or email bordar@bournemouth.ac.uk.

Dan Bailyes

Faculty Librarian (FMC) and LLS lead for Research Data Management (RDM)

 

References

SanguaPundir.,  2016. FAIR guiding principles for data resources [image]. Wikimedia Commons. Available from: https://commons.wikimedia.org/wiki/File:FAIR_data_principles.jpg [Accessed 08 July 2021].

Research data: new dataset available in BORDaR

Dr Liam Wignall (Senior Lecturer in Psychology) recently deposited data collected to research the sexual behaviours, desires and wellbeing of UK young adults during social lockdown due to COVID-19. The anonymised results of the survey, collected between the 14th and 18th May 2020 of 565 young adults, is available via BU’s research data repository, BORDaR.

 

We asked Dr Wignall to share a bit about what this study was about, what he sees as the benefits of making the data open access, and for any advice that can be passed on to help others manage their data effectively for deposit in BORDaR.

 

Q – Can you tell us a bit more about your research?

A – This research provided insight into the impact of social lockdown on different aspects of peoples’ sex lives, such as changes in sexual behaviours and levels of sexual desire, changes in solo-sexual practices, and how technology was used in relation to sex. The research also explored the impact of social lockdown on general health and wellbeing.

 

Q – What do you see as the benefits of making the research data available?

A – Making the data available for others to explore and use could potentially lead to interesting associations being found that the research team were not explicitly looking for. We also believe it’s important to allow other researchers to check the claims we have made in our publications. Finally, if similar studies are conducted in other countries, having the data openly available allows for potential collaborations.

 

Q – Any advice you would give to anyone about managing their data effectively for successful deposit?  

A – Try to keep organised from the beginning, thinking about how best to make the data/questions clearly understandable by others not involved in the project. Use accurate labels for columns in SPSS/Excel and keep track of any acronyms used. Also get in touch with the BORDaR team if you have any questions – they were extremely helpful.

 

What support is available for researchers? 

 

The library offers guidance and support for data management from bid preparation (Data Management Plans) to deposit in BORDaR, BU’s research data repository. Visit our research data management guide or email us at bordar@bournemouth.ac.uk.  

 

Dan Bailyes 

Faculty Librarian (FMC) and LLS lead for Research Data Management (RDM)

Publisher research data requirements

Many journals either encourage or require that the data supporting published outputs be deposited in an open research data repository. If you’re looking at options for publishing your research, here are a few things to consider.

Why should I make my data open access?

Open data aims to increase trust in scholarly works by improving transparency and enabling research findings to be tested and reproduced. It can also lead to new research because the data can be used to inform new studies and prevent wasted effort by reducing duplication. Finally, research data is citable, so you can receive credit for the work put into creating it.

How do I find out what the publisher requires?

You will need to read the author information pages for your chosen journal. Springer Nature, Taylor & Francis and Wiley have examples of the different data requirements covered by their journals. These range from encouraging data deposits to mandating them as a condition of manuscript submission.

Where should I deposit my data?

You should check to see whether your chosen journal (or funder) specifies a particular repository. Most recommend disciplinary repositories recognised by those academic communities, and where these aren’t available, a generalist repository. You can search for repositories by discipline using the Registry of Research Data Repositories (re3data). Some repositories charge for data submission, so you’ll need to take this into account if applying for funding.

Can I deposit data in BU’s data repository, BORDaR?

Yes! There isn’t a charge, but you do need to check what the journal requirements are first. Even when data is published in an external repository, it’s required that a record is created in BORDaR linking to the data. That way your data will be visible to anyone browsing the repository. If you’ve had data published in an external repository, please let the library team know via the email below.

Where do I go for help and advice?

Visit the Library’s Research Data Management guide or email bordar@bournemouth.ac.uk.

 

Dan Bailyes

Faculty Librarian (FMC) and LLS lead for Research Data Management (RDM)

Research data: new dataset available

Prof. Mike Silk recently published his research data on ReShare, the UK Data Service’s research data repository, for his ESRC funded project Sex work in the context of sports mega events: Examining the impacts of Rio 2016. 

Many funders and journals require the data supporting research publications to be deposited for long-term preservation because of its value to future research. Here’s what Prof. Silk had to say:  

What’s most exciting/important about your research?  

Probably centring marginalisation / inequality and ensuring visibility / voice for those who are often excluded and/or peripheral to the juggernaut of mega-events (involving as it does securitisation, sterilisation of communities, event-led urban renewal that is often a guise for further marginalisation).  

What do you see as being the benefits of making your data available? 

The data being available means their voices live on past the event itself. Given this particular dataset is the first of its kind, having this data available will hopefully be a useful comparator for those addressing such issues at future events (e.g., Tokyo 2020 / Paris 2024). 

Any advice you would give to anyone about managing their data effectively for successful deposit? 

Most important thing for me was ensuring familiarity with the UK Data Service’s ‘Plan to Share’resource … essential to writing the bid and thereby study design. It meant data could be collected in a particular format that made it easy to deposit, as opposed to having to re-work the data at the conclusion of the project (once funding has run out!) to make it ‘shareable’! Going through this resource in advance of bid submission invariably strengthens the quality of the actual bid.  

The dataset is available on request via this link: 

https://doi.org/10.5255/UKDA-SN-853702 

What support is available for researchers? 

The library offers guidance and support for data management from bid preparation (Data Management Plans) to deposit in BORDaR, BU’s research data repository. Visit our research data management guide or email us at bordar@bournemouth.ac.uk.