nottingham research data management repository

Nottingham Research Data Management Repository

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• Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-23

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Nottingham Research Repository: Recent submissions

Now showing items 1-20 of 1660

Self-assessment of cochlear health by new cochlear implant recipients: daily impedance, electrically-evoked compound action potential and electrocochleography measurements over the first three postoperative months 

Clinician-patient communication of medical imaging results: a scoping review , additional file 1 of genetic variation and demographic history of sudan desert sheep reveal two diversified lineages , supplemental material for the improvised language of solidarity linguistic practices in the participatory labour-organizing processes of multi-ethnic migrant workers , the anticancer and egfr-tk/cdk-9 dual inhibitory potentials of new synthetic pyranopyrazole and pyrazolone derivatives: x-ray crystallography, in vitro, and in silico mechanistic investigations , changepoint detection in heteroscedastic random coefficient autoregressive models , investigation into the impact of egg white addition on the structural properties and flavour profile of gluten-free sourdough bread , data for encapsulation of copper phenanthroline within horse spleen apoferritin: characterisation, cytotoxic activity and ability to retain temozolomide , raw data for "magnetic structure and properties of the honeycomb antiferromagnet [na(oh2)3]mn(ncs)3" , raw data for controlling noncollinear ferromagnetism in van der waals metal–organic magnets , proximal. amino acid and fatty acid content from neltuma pods from mexico, kenya and tanzania – field season june-november 2019 , united kingdom qr value per 4* output or impact case study returned to ref in the 2023-2024 financial year , queer temporal by solomiya moroz , identification of a discrete population of cd8+ effector memory cells linked to immune checkpoint inhibitor-induced liver injury , investigation of recyclable palladium catalysts in c(sp3)–h acetoxylation and their application in a one-pot redox-relay heck/reductive amination sequence , boostcpm trial: image analysis and statistical analysis plan , returns & simulacra by solomiya moroz , spinning q-ball superradiance in 3+1d , predictors of relapsing mogad: a scoping review , drought and heatwave stress on the african eggplant , arkivum files.

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Software can be shared openly in two main ways

Either it can be shared as a snapshot of the project at a point in time, or it can be shared while development is ongoing.

Depositing a snapshot

This is particularly useful if you are publishing a paper based on your software or which uses a certain version of your software. By depositing the data in a static repository this version of the software can be kept for the use of other researchers and persistently linked to with a DOI. You may particularly want to do this if it is likely that the software will be considerably developed in the future.

Options for snapshot software deposits:

UoN Data repository

Depositing data with ongoing development

There are also options that allow you to share data which encourages ongoing development and collaboration. These are not designed to be static versions of your software and often encourage suggestions and development ideas from others in your communities.

Options for software deposits: GitHub

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Research Data Catalogue

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The University of Nottingham Catalogue of External Research Data The contents of this collection detail a set of metadata only records to present a catalogue of research data resources that, while the files themselves are not held in this repository, are still available elsewhere, even if access may not be fully public. The links referenced in these records point to data held under a variety of individual licences and may have variable accessibility. This may range from fully public, to being only accessible by those with access to the individual facility, or may be stored privately. The collection only contains records of data held at defined locations (e.g. fig share or the UK National Crystallography Service ), as opposed to data that may be held on personal or group storage by a researcher and made available on request For queries regarding this collection, or in relation to research data publishing at the University of Nottingham in general, please contact [email protected]

Recent Submissions

Additional file 1 of genetic variation and demographic history of sudan desert sheep reveal two diversified lineages , supplemental material for the improvised language of solidarity linguistic practices in the participatory labour-organizing processes of multi-ethnic migrant workers , the anticancer and egfr-tk/cdk-9 dual inhibitory potentials of new synthetic pyranopyrazole and pyrazolone derivatives: x-ray crystallography, in vitro, and in silico mechanistic investigations , changepoint detection in heteroscedastic random coefficient autoregressive models , design of an aircraft generator with radial force control , additional file 9 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 1 of a systematic review and meta-analysis of suicidality in autistic and possibly autistic people without co-occurring intellectual disability , canis lupus familiaris breed:beagle dog raw sequence reads , additional file 6 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 8 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 2 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 3 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 4 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 5 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 7 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 10 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 1 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 4 of under- and post-graduate training to manage the acutely unwell patient: a scoping review , additional file 11 of modulation of long noncoding rna (lncrna) and messenger rna (mrna) expression in the liver of beagle dogs by toxocara canis infection , additional file 2 of under- and post-graduate training to manage the acutely unwell patient: a scoping review , arkivum files.

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Archiving a website

April 22, 2022

In this guide, we show you how to download and package a website for archiving. If you have produced a website for your research project, you may wish to archive it (or be obliged by your funder to do so). Here, we show you how to do two things: (a) convert a website to a …

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Automated anonymisation of texts and transcripts

November 22, 2021

In this blog, we discuss an automated process for anonymising interview transcripts, patient notes, or other free-text data containing personal information.  Colleagues wishing to share participant notes or interview transcripts, for example as publication appendices or in a research data repository, will likely need to anonymise the data. Anonymisation also comes with a number of …

Conducting research interviews securely online

February 25, 2021

Interviewing online has several advantages. These include the ability to conduct interviews from anywhere, easily link to automated transcription, and take advantage of document sharing. In this blog, we offer guidance for ensuring compliance with ethical and research-data-management obligations when interviewing online. Microsoft Teams – simple and secure Staff and students at the University have …

Response to the Government’s National Data Strategy consultation

December 16, 2020

The UK Government recently invited contributions to its National Data Strategy consultation. Respondents were asked to address nineteen questions about the value of data to the UK economy and society, free access to data, data standards, security protocols, the sharing of data with international partners, and more. As the Government states on its website: The …

Features of the Research Data Repository

June 15, 2020

This blog explores some of the features and benefits of the University’s Research Data Repository. The Research Data Repository is a platform for storing and promoting your data. It allows you to make your raw data and other outputs accessible to others and guarantees their secure storage over the long term. *** In a series …

Digital Data in Cancer Research

September 25, 2019

Effective collaboration and data management using OneNote Associate Professor Alan McIntyre (School of Medicine) leads a research group that studies the effects of hypoxia (low levels of oxygen) in the context of molecular and cell biology, with a focus on cancerous tumours. The research generates large amounts of raw and processed data in multiple formats. …

Our approach to delivering Research Data Management services

January 22, 2018

As part of a broader Digital Research Environment Strategy which the University’s Information Services are delivering – a strategy described in our envisioning video – we have started working on creating new Research Data Management (RDM) services. There are multiple reasons for us to commission new RDM capabilities: First, it’s part of the normal life cycle …

FAIR in Practice?

November 10, 2017

When we talk about research data management, we often talk about researchers depositing their own data and having to identify and re-use data produced by others. However, the process of identifying suitable data and making use of other people’s data is often challenging and sometimes impossible. In a world where the volume of data is …

An Introduction to the General Data Protection Regulation for Research

October 6, 2017

The Digital Research Team are supporting the university’s preparations for the impending introduction of the General Data Protection Regulation. In this blog post, we introduce a summary of the main principles of the regulation, touch on some of the considerations for research and outline the ways in which the university is making preparations. 1. What …

Data management planning for a signature research centre

June 1, 2017

Scientific equipment can now regularly produce what we might perceive enormous volumes of data. Gene sequencers or imaging system that can produce 200 gigabytes in a day are already in common use at the University of Nottingham, and equipment already exists which can produce 100 terabytes in a day. Data volumes are always likely to …

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About this blog.

This is a blog to share inspirational examples and informative approaches to the use of digital services and technologies in our research community. It is curated by the Digital Research Specialist Team. Please contact your Faculty Digital Research Specialist if you would like to author a post.

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Recent Posts

• Accelerating the University’s research ambitions with a more powerful HPC service
• Text Translation using Azure Cognitive Services Translator
• Using Julia on the HPC
• Introducing Trusted Research Environments
• HoloLens 2 and research

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Nottingham Research Data Management Repository

Repository information, organisation, open access policies, record information.

• Supporting Researchers

Research data management

What is research data management?

There are many different facets to Research Data Management (RDM). It involves the effective planning, collection, organisation, storage, preservation and, where possible, the sharing of data both during and beyond the lifespan of a research project.

Funder policies

The Research Council Common Principles on Data Policy states that research data should be “made openly available with as few restrictions as possible in a timely and responsible manner.” The data policies of each individual research council are broadly aligned with these common principles and should be interpreted within the framework offered by the RCUK, now UKRI, in their Guidance on best practice in the management of research data . Typically, the policies outline the funder’s expectations with regards: data management planning; data sharing and access; time limits for deposit and retention; how funding can be used to offset RDM costs and compliance monitoring.

For concise summaries of the policies and links to detailed policy documentation of the major funders in the UK and EU, please visit the DCC website . The SHERPA / JULIET database also provides current and comprehensive information about the data archiving and data sharing requirements of all research funders.

Data management planning

Successful RDM is a process that starts at the initial research planning stage with the formulation of a data management plan (DMP). This document describes how you will handle the data generated in the course of your research project and what will happen to it afterwards. Most major funding bodies require the submission of a DMP as part of the grant application: this is mandatory for six out of the seven research councils, although the other, EPSRC, expects a DMP to be in place for all projects awarded funding.

The content of your DMP will vary depending on your research context and the information required by funders. Your DMP is not a static document and should be reviewed and updated throughout the research project. Therefore, when writing, then implementing, a DMP you should:

• Pay close attention to the data policies of relevant funders and/ or publishers, as well as the NTU RDM Policy and the DCC guidance for best RDM practice .
• Use the web based tool DMP Online to help you write your DMP. This offers templates for specific funders, step-by step guidance, as well as options to share and review your plan.
• Refer to the Checklist for Data Management Plan produced by the DCC. This offers a comprehensive overview of the different elements of RDM that you should consider and plan for.

Contact the Library Research Team for further advice on compliance with university, funder and journal data policies, and the development of your DMP.

Creating and organising research data

Legal and ethical guidelines.

NTU works continuously to embed research integrity within its institutional research culture. It is essential that you maintain the standards for research data set out in our Code of Practice for Research .

Personal, sensitive or confidential data warrant additional safeguards. Any research involving human participants requires the correct handling of all associated data in line with NTU’s Research Ethics Policy and procedures, as well as any ethical guidelines issued by funders. In addition, the General Data Protection Regulations (GDPR), that comes into effect 25 May 2018, govern the processing of personal data and the circumstances under which that data can be shared. The ICO offers exhaustive and up to date guidance on GDPR.

The UK Data Service provides clear strategies for the gathering and processing of research data, including:

• Gaining informed consent
• Anonymising data
• Restricting access to data .

Adopting these will help you to maintain the integrity of your data, within the legal and ethical frameworks, without precluding opportunities for data sharing.

Active research data storage

You need to identify the most appropriate and robust storage solutions for your research data during your project. Use NTU Research Data Storage: a guide to help inform your decisions about the storage that is most suitable for the type of data your research is generating. You should back up your data on at least two forms of storage. You may also find the MANTRA Data Storage and Security Tutorial a useful tool.

NTU OneDrive is available for data storage during the active phase of your research. This offers:

• 5TB of data storage
• Access to your data anytime, anywhere using multiple devices
• Automatic file syncing across all of your devices
• Sharing and collaborative functionality, so you can share files and set permissions for multiple people to edit documents
• GDPR compliant data privacy and security measures
• Version history and file recovery up to 90 days, so you can restore previous versions of documents or retrieve deleted files

However, this cloud-based service is not appropriate if your research involves sensitive or confidential data. In this instance, you should apply for access to NTU network data storage. You may also require alternative data storage arrangements if:

• You are involved in a collaborative research project
• The amount of data generated is expected to exceed 5TB.

When your research meets one, or more, of these criteria, please complete the Active Research Data Storage Request Form and email it to the  [email protected]

Organising and securing your data

You can take several practical steps to not only mitigate the risks of data loss and corruption, but also maximise research efficiency. You should implement:

• Agreed file structures
• Consistent file naming conventions
• Version control
• Data encryption for sensitive or confidential data.

Additionally, your data should be accompanied by documentation that details things such as the filing and naming protocols you have employed. This is particularly important if you are working as part of a collaborative research project. It will also help other researchers understand your data more fully if you plan to make data available for future reuse. For further advice about these techniques go to the ‘Format your data’ and ‘Document your data’ sections of the UK Data Service website.

Can, and should, you share your data?

You should archive your data in an appropriate repository so that data that underpin your outputs are assigned a persistent identifier and preserved for at least ten years.  You have a range of options for archiving and sharing; you do not simply have to decide to make your data open, or to keep it closed. Ultimately, your funder’s position on data sharing will influence your decision about where and how to share your finalised data. However, planning carefully for data sharing from the very outset, will give you flexibility in controlling access to the data and its future reuse, whilst remaining compliant with funder policies. Your options include any, or a combination of:

• Imposing an embargo period, if, for example, you need to continue to exploit your data for either publication or commercial purposes
• Giving different levels of access to different parts of your data: some data could be restricted, whilst other data could be shared with others
• Creating different versions of your dataset. Therefore, even if your research involves sensitive information, you could share anonymised data and keep any data with personal identifiers private
• Limit the sharing of your data to certain users, for instance bona fide researchers
• Make signing a data use agreement that dictates how the data can be used a condition of data sharing
• Applying a licence that specifies how the data can be used. See, ‘How to License Research Data’ by the DCC

Data access statements

As a minimum, you should include a data access statement in your publication that explains how, and under what circumstances, if any, the underlying data can be accessed. If the data is closed, you will need to offer a reason why and note if, and when, any embargoes will be lifted. Additionally, a record describing your data (a metadata record) must exist in NTU’s IRep.

Contact [email protected] to talk through the options for archiving, registering, sharing and licensing your data in more detail.

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Research Repository

All Output Person Project

Research data management as a “wicked problem”

Awre, chris; baxter, jim; clifford, brian; colclough, janette; cox, andrew; dods, nick; drummond, paul; fox, yvonne; gill, martin; gregory, kerry; gurney, anita; harland, juliet; khokhar, masud; lowe, dawn; o beirne, ronan; proudfoot, rachel; schwamm, hardy; smith, andrew; verbaan, eddy; waller, liz; williamson, laurian; wolf, martin; zawadzki, matthew.

Brian Clifford

Janette Colclough

Paul Drummond

Martin Gill

Kerry Gregory

Anita Gurney

Juliet Harland

Masud Khokhar

Ronan O Beirne

Rachel Proudfoot

Hardy Schwamm

Andrew Smith

Eddy Verbaan

Laurian Williamson

Martin Wolf

Matthew Zawadzki

Purpose – The purpose of this paper is to explore the usefulness of the concept to thinking about Research Data Management (RDM). The concept of “wicked problems” seeks to differentiate very complex, intractable challenges from tamer issues where approaches to problem solving are well-understood. Design/methodology/approach – The paper is based on and co-authored by a collaboration of practitioners from libraries, information technology and research administration, with facilitators from the Sheffield Information School. Participants worked together in two-day-long workshops to understand the wicked problem concept and advice on leadership in wicked problem contexts. Findings – Participants concurred that RDM had many features of a wicked problem and most of Grint’s advice on leadership for wicked problems also resonated. Some elements of the issue were simple; participants were optimistic about improving the situation over time. Participants were resistant to the more negative or fatalistic connotations of the phrase “wicked problem”. Viewing RDM as a wicked problem is an interesting way of looking at it as a challenge for support professionals. Practical implications – The notion of a wicked problem is a generative concept that can be usefully added to professional vocabulary. Originality/value – The paper captures an in-depth response from practitioners to the notion of wicked problems as a lens for examining RDM.

Awre, C., Baxter, J., Clifford, B., Colclough, J., Cox, A., Dods, N., …Zawadzki, M. (2015). Research data management as a “wicked problem”. Library Review, 64(4/5), https://doi.org/10.1108/LR-04-2015-0043

wicked problems paper revised for LR.pdf (463 Kb) PDF

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