Research Data Management (RDM): research ethics

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Research Data

Management (RDM): research ethics

Research Ethics into the Digital Age, University of

Sheffield.

11 April 2014

Laurian Williamson, Research Data Management Coordinator,

University of Sheffield

Contents

• Research Data Management

• Research funders’ and institutional ‘data expectations’

• Anonymisation and informed consent

• Data Management Plans (DMPs)

• A checklist

• Questions and discussion

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What is research data?

Definition depends on your subject discipline

Research data refers to any type of data created, collected, or generated in a digital or non-digital form that is analysed to produce original research results.

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What is research data management?

Research data lifecycle

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Why manage research data?

• The data deluge –growth in volume of digital research data outputs (often created by publicly funded research)

• RDM expectations from research funders, publishers, and institutions

• Research data is increasingly viewed as a valuable research output

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Why is managing research data important?

• Major drivers

• Research funder expectations, publishers, legislative frameworks, researchers as creators & users of data

• Good data management is good for research

• More efficient research process, avoids data loss, discoverability and increased reuse, preservation

• Good data management is good for UK HEIs

• Develop robust research infrastructure

• Research data is a valuable research output

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Freedom of Information Act (FoIA)

• Freedom of information refers to a body of legislation that establishes the right of the public, or individual members of the public, to be given access to information from public bodies

• Although exemptions for research data exist, these may be subject to a ‘public interest test’ upon appeal

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Research data and FoI requests

There have been high profile cases involving research data from UK

Universities

Tobacco firm demands university's research on children and smoking

"Stirling University fighting attempt by Philip Morris to gain access to research under freedom of information laws." September 2011. From: The Guardian

University told to hand over tree ring data

"Queen's University in Belfast has been told by the Information Commissioner to hand over 40 years of research data on tree rings, used for climate research." April 2010. From: BBC News

University scientists in climategate row hid data

"The university embroiled in the 'climategate' scandal refused to make its scientific data available to the public in breach of freedom of information laws, it has emerged." January 2010.

From: The Telegraph

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Managing your data…

• Ensures the integrity of research and aids replication

• Ensures research data are accurate, complete, authentic and reliable

• Increases research efficiency

• Saves time, effort and resources in the long term

• Enhances data security and minimises the risk of data loss

• Prevents duplication of effort by enabling others to use your data

• Meet funders’ grant requirements

• Meet expectations of TUoS RDM Policy

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Research data formats

Text ‐ Flat text files, Word, Portable Document Format (PDF), Rich

Text Format (RTF), Extensible Markup Language (XML).

Numerical ‐ SPSS, Stata, Excel.

Multimedia - jpeg, tiff, dicom, mpeg, quicktime.

Models - 3D, statistical.

Software - Java, C.

Discipline specific - Flexible Image Transport System (FITS) in astronomy, Crystallographic Information File (CIF) in chemistry,

Instrument specific - Olympus Confocal Microscope Data Format, Carl

Zeiss Digital Microscopic Image Format (ZVI)

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Research data types

• Documents (text, MS Word), spreadsheets

• Lab books, field notes, diaries

• Questionnaires, transcripts, codebooks

• Audiotapes, videotapes, photographs, images

• Slides, artefacts, specimens, samples

• Collection of digital objects acquired & generated during the research process

• Database contents (video, audio, text, images)

• Models, algorithms, scripts

• Contents of an application (input, output, logfiles for analysis software, schemas)

• Methodologies, workflows

• SOPs, protocols

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Research Funders’ and their expectations

Research Funder expectations

• Timely release of data (‘exclusive use’ outlined in policies)

• Data to be discoverable, accessible, and where feasible, to be shared openly

• Long-term preservation of data (10yrs+)

• Data management plans (helps with research planning & navigating ethics and governance requirements)

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RCUK Open Access Policy http://www.rcuk.ac.uk/documents/documents/RCUKOpenAccessPolicy.pdf

From 01 st April 2013:

“All papers must include details of the funding that supported the research and, if applicable, a statement on how the underlying research materials –such as data, samples or models –can be accessed .”

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HORIZON 2020

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• Open Access to

Research Data

• Data Management

Plan a requirement

• What data will your project generate?

• How will it be exploited?

• Accessibility and verification

• Reuse

• Curation

• Long-term

Funders’ RDM expectations

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TUoS RDM Policy

• Approved by Senate in

July 2012

• Embedded within Good

R&I Practices (GRIP)

Policy http://www.shef.ac.uk/pol opoly_fs/1.356709!/file/G

RIPPolicySenateapprove d.pdf

Key expectation:

“In the case of R&I activities involving human participants research data may need to be anonymised before release, in order to protect the identity of human participants.”

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Research data may contain personal, confidential or sensitive data

Personal data

Personal data relate to an individual who can be identified from the data.

Confidential data

Confidential data are data given in confidence or data agreed to be kept confidential.

Sensitive personal data

Sensitive personal data are defined in the Data Protection Act 1998 as data on a person's race, ethnic origin, political opinion, religious or similar beliefs, trade union membership, physical or mental health or condition, sexual life, commission or alleged commission of an offence, proceedings for an offence

(alleged to have been) committed, disposal of such proceedings or the sentence of any court in such proceedings.

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Research data security

Keep research data safe from corruption & control access

Good research data security practice prevents :

• Accidental or malicious damage / modification to data

• Theft of valuable or irreplaceable data

• Breach of confidentiality agreements and privacy laws

• Release of data before it has been checked for accuracy and authenticity

TuoS guidance http://www.sheffield.ac.uk/library/rdm/storage

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Informed consent

• Ethical requirement

• Gaining consent – make provision for sharing data

• Take into account immediate and future uses of data

• Failure to address informed consent may restrict data sharing opportunities

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Research ethics and data sharing

Some key principles:

• A duty of confidentiality towards informants and participants

• A duty to protect participants from harm, by not disclosing sensitive information

• Allow participants to make their own decisions on how the information they provide can be used, shared and made public

(through informed consent )

• A duty to inform participants how information and data obtained will be used, processed, shared, disposed of , prior to obtaining consent

• A duty to wider society to make available resources produced by researchers with public funds (data sharing required by research funders)

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Privacy and research data

• Individuals are normally considered to have a ‘right to privacy’ - the state of being free from intrusion or disturbance in one's private life or affairs

• Research proposals need to indicate how data will be collected about human subjects. Ethical reviews will consider how intrusive this is for the subjects

• The right to privacy implies the need to obtain consent from research subjects

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Why anonymise data?

• Ethical reasons

• Protect people’s identity (sensitive and confidential)

• Disguise research location

• Legal reasons

• Do not disclose personal data (Data

Protection Act)

• Commercial reasons

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Remember to…

• Never disclose personal data (unless specific consent)

• Reasonable / appropriate level of anonymity

• Maintain maximum meaningful information

• Where possible replace rather than remove

• Re ‐ users of data have the same legal and ethical obligation to NOT disclose confidential information as primary users

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Tips from the UK Data Archive

• Always consider anonymisation of research data together with consent agreements and access restrictions

• Regulating / restricting user access may offer a better solution than anonymising

• Avoid collecting data that requires anonymisation

• Remove, mask, change identifiers

• Retain unedited versions of data for use within the research team and for preservation

• Plan at start of research activity – not the end

Freely available guidance and examples of anonymisation case studies available from: http://www.data-archive.ac.uk/createmanage/consent-ethics

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Data Management Plans

(DMPs)

What is a DMP?

• A short plan outlining:

• What data will be created

• How it will be ethically managed (stored, backed-up, accessed, encrypted)

• How the data will be shared and preserved

• DMPs are submitted as part of grant applications

TUoS RDM Policy requirement that all research proposals for funded research must include a

DMP

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DMPs

• Make informed decisions to anticipate & avoid problems

• Avoid duplication, data loss and security breaches

• Develop procedures early on for consistency

• Ensure data are accurate, complete, reliable and secure

• Fulfil the funding requirements & the research objective

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DCC Guidance and resources

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/data-management-plans http://www.dcc.ac.uk/res ources/datamanagement-plans

Checklist

 Have you consulted TUoS Research Ethics Policy ?

 Have you checked your funder’s policy on data sharing and deposit ?

 Have you obtained written consent for sharing and re-use from interviewees?

 Have you spoken to CiCS about security and controlling access to personal/and or confidential information?

 Have you stored information about the data’s sensitivity, participant consent or usage agreements alongside the material itself to avoid accidental misuse in future?

 Have you informed interviewees and participants how:

 Research material will be stored, preserved and used in the longterm?

 Confidentiality will be maintained (by anonymising data )?

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Thank you.

Questions and comments

l.williamson@sheffield.ac.uk

or rdm@sheffield.ac.uk

TUoS RDM website http://www.sheffield.ac.uk/library/rdm

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