SlideShare a Scribd company logo
1 of 9
RESEARCH ETHICS AND LEGAL ISSUES
              Professor Charles Oppenheim – 25 October 2011


WHAT ARE ETHICS?
   Moral principles that govern a person’s behaviour or the conducting of
     an activity
   The “activity” to be focussed on is undertaking a research project
   This handout focuses on some ethical and legal issues associated with
     LIS research
   Much may seem like a teaching a grandmother how to suck eggs; but I’m
     surprised by the number of student projects/articles I’ve been asked to
     referee that break some of the guidelines


ISSUES TO CONSIDER
   Confidentiality
   Questionnaires and interviews
   Plagiarism and other forms of cheating
   Getting published
   Data Protection
   FoI
   Of course, there are lots of other legal and ethical issues that might
     arise…….
CONFIDENTIALITY/ANONYMITY
   Remind participants that their answers will be kept confidential and will
     not be attributed to any individual or organisation (except in those cases
     where they explicitly agree to be named)
   Confidentiality doesn’t just apply to individuals but also to organisations
   Unless an organisation has agreed to be named, you should respect its
     confidentiality – and don’t make it easy for the reader to identify it (e.g.,
     “a well known high street retailer whose trade mark is St. Michael”)
   You may have to sign a confidentiality or a non-disclosure agreement
     (NDA).
   Incidentally, it is courteous to send a copy of the final research report to
     anyone who participated and who has expressed an interest in it


QUESTIONNAIRES AND INTERVIEWS
   Best not to send out a questionnaire or conduct an interview without
     checking contents/interview schedule with someone else first!
   Pilot studies are strongly recommended
   Need to think carefully, and understand, about the pros and cons of
     various sampling techniques and analysing the results to draw
     conclusions


IT’S IMPORTANT!
   Muck it up, and you’ve wasted your and other people’s time; badly
     designed questions, an arrogant style or poor grammar/spelling will
     annoy people and may well lead to a low response rate
   Make sure any covering note is polite and appropriate
QUESTIONNAIRES & INTERVIEWS
   Stress to participants they can withdraw or refuse to answer specific
     questions at any time.
   If you want to tape record, ask for permission first.
   Don’t DEMAND that they see you or that they reply to your
     questionnaire.
   In my view – not shared by everyone – it is not appropriate to give them
     a deadline to reply by
   Need to think carefully before sending out reminders


ASSESSING KNOWLEDGE
   Testing people (“what is the lifetime of copyright for an unpublished
     manuscript?”) can insult them
   Asking people to rate their knowledge (“very knowledgeable,
     knowledgeable, know a little, I know nothing”) might tempt them to lie.
   Overall, difficult to get a totally reliable way of assessing knowledge
   Nonetheless, the questionnaire issued by DREaM tries to do that in
     assessing your knowledge of research techniques!


APPOINTMENTS
   Set clear time and date, and venue
   Never be late or fail to keep appointment without warning them
   Switch off your mobile when you enter the organisation’s premises
   Dress code is normally formal
   Any discourtesy reflects badly on you, and on your employer
VULNERABLE GROUPS
   Your work might involve vulnerable individuals, or school children.
   CRB checks likely if you deal with school kids, or if the research takes
     place in a school, whether or not children are being studied. This can
     delay start of research, so time elapsed needs to be factored in.
   Special care is needed when dealing with vulnerable people, including
     elderly, ill, criminals, drug users, etc.


PLAGIARISM
   Deliberate or accidental presentation of another’s words/images/ideas
     as one’s own
   Implication of an intent (perhaps subconscious) to deceive
   It might involve infringement of copyright and of Moral Rights
   Moral Rights include the Paternity Right (the right to be identified as the
     author of a piece)
   Infringement of copyright occurs if you copy a substantial part of
     someone else’s copyright work without permission
   Infringement of copyright, or of Moral Rights can lead to you being sued
     for damages
   So you can get sued for copying the text and sued separately for failing to
     provide the original author’s name


HOW TO AVOID PLAGIARISM
   Use quotation marks when quoting directly, together with an
     appropriate reference
 Paraphrase the text you are using without quotation marks, but still cite
     the reference


OTHER TYPES OF CHEATING
   Fabricating results
   Adjusting results to suit your pre-set opinion on how the results should
     pan out, e.g., ignoring or amending results that don’t fit in
   A “comprehensive” literature review that ignores contrary evidence


GETTING PUBLISHED
   Give credit where credit is due by means of co-authorship and/or
     acknowledgements at end; don’t ignore anyone who gave material
     assistance
   If co-authoring, let the co-authors see the draft article/report so they can
     comment on it
   Respond promptly and courteously to referees’ comments – even if you
     think they are rubbish. Be prepared to stand up for your corner if you
     don’t agree with what a referee says.
   Moral Rights – a person has the right to object if their name doesn’t
     appear on something they helped write, and to object if something is
     written in their name which they did NOT write; they can also object to
     derogatory treatment of something they wrote


DATA PROTECTION
   No legal right as such to privacy, though Human Rights Act is nowadays a
     powerful weapon – see, e.g., phone hacking cases; in general, though,
people CAN take CCTV pictures of you, photograph you on the beach,
     etc., without having to ask your permission
   Data protection potentially comes into play once they start “processing”,
     e.g., storing, publishing, disseminating, amending, the material relating
     to an individual in any way


DATA PROTECTION ACT 1998
   The Act ensures that people who handle personal information do so in a
     professional and appropriate manner, and that they keep individuals
     informed on what they are doing
   Based on the eight Data Protection Principles, which everyone handling
     personal data must abide by


DATA PROTECTION PRINCIPLES
   First – inform each individual that you are collecting information about
     the person, unless this involves “disproportionate effort”; in typical
     research projects, this exemption is unlikely to apply, so in general,
     inform people that you are collecting data about them for your research
   There is an issue with unobtrusive observational studies. People’s
     behaviour will be more natural and honest if they don’t know they are
     being observed or recorded. You need to balance that against the
     requirement that individuals should be informed data is being collected
     about them. Best way round is to make all unobtrusive data collection
     anonymous. Data Protection Act does not apply if no-one can be
     identified.
 Second – you must identify the purposes for which you are collecting the
   data and let the individuals know this
 Third - data collected must be relevant, not excessive or too little
   information.
 Fourth – data must be accurate and where necessary kept up to date
 Fifth – hold the data only for as long as it is needed; thus, unless an
   article is planned based on your work, either destroy the personal data
   at the end of your research or put anonymised raw data into a data
   repository, and/or as an appendix to any report/publication.
 Sixth - must respect individuals’ rights to inspect data collected about
   them and/or to object to what is being held about them
 Seventh – adequate technical and organisational measures must be in
   place to ensure data is not disclosed to unauthorised people, cannot be
   hacked into, and is not amended, destroyed or copied by third parties;
   need a judgement on the risks involved and sensitivity of the
   information; thus, for example, surveys of library usage by drug abusers
   require more control than general surveys of opinions
 Eighth – data must not be transferred outside the EEA if the country it is
   transferred to has inadequate data protection laws – this includes the
   USA. So do not share data about individuals with overseas colleagues
   unless you are sure they will protect it properly and/or are subject to
   sufficiently strong Data Protection laws in their own country.
 If you fail to abide by any of these, you are breaking the law! Penalties
   vary from civil offences (sued for damage) to criminal (fines and/or
   prison
DATA
   Covers computerised, manual data, CCTV footage, tape recordings…..
   But must be personal, i.e., is about an identified or identifiable living
       individual
   Anonymised data is NOT covered by the Act; data about organisations is
       also NOT covered (unless organisation is a one man band)
   Individual can be anywhere in the world; as long as data controller is
       based in UK, DPA applies


SENSITIVE PERSONAL DATA
   Racial or ethnic origin; political opinions; religious or similar beliefs; trade
       union membership; physical or mental health; sex life; commission or
       alleged commission of criminal offences and related proceedings
   Can only be processed if deliberately put into public domain by the
       individual, or if you have got explicit written consent to process it
   You should not handle such personal data under any other circumstances
   Could apply, e.g., when looking at provision of LIS services to trade union
       members, for ethnic minority groups, or for those in prisons or patients
       in hospitals


FREEDOM OF INFORMATION
   Applies only to public sector organisations, such as Universities
   Public has a right to demand to see copies of documents held by that
       pubic authority
 Rather limited exemptions
   Most research data will be subject to FoI unless it is commercial in
     confidence (criteria are quite strict for that) or contain personal data


ICO’S ADVICE ON FoI AND RESEARCH DATA
   The public interest test – The guidance highlights the importance of the
     public interest test and factors in favour of disclosure that should be
     considered by higher education institutions.
   Commercial information - Many universities and research institutes work
     in partnership with third parties and will hold commercially sensitive
     information. The guidance makes clear that disclosures under FOI should
     not undermine their ability to do this. If there is a genuine need to
     protect information from disclosure, an FoI request can be refused.
   Free and frank discussion – The guidance acknowledges the importance
     of academics and researchers being able to exchange views internally
     and to formulate and debate opinions relating to research away from
     external scrutiny. Protection for this type of information is provided by
     section 36 of the Act (prejudice to the conduct of public affairs).
   Vexatious requests - While most requesters use the legislation
     responsibly, there is occasionally some misuse of the rights provided by
     the law - or circumstances where requests become overly burdensome;
     disrupt a public authority’s ability to perform their core functions, or
     appear to be part of an intention to disrupt or attack the public
     authority’s performance. The guidance highlights the provisions under
     FoI that give exceptions to the duty to answer such requests.

More Related Content

Similar to DREaM Event 2: Charles Oppenheim (Handout)

Research methodology ethical issues in research an assignment
Research methodology  ethical issues in research   an assignmentResearch methodology  ethical issues in research   an assignment
Research methodology ethical issues in research an assignmentMaiJoy
 
ETHICS-IN-QUALITATIVE-RESEARCH.pptx
ETHICS-IN-QUALITATIVE-RESEARCH.pptxETHICS-IN-QUALITATIVE-RESEARCH.pptx
ETHICS-IN-QUALITATIVE-RESEARCH.pptxAllan Bautista
 
Confidentiality
ConfidentialityConfidentiality
Confidentialityblutoothe
 
ETHICS OF DATA MANAGEMENT.pptx
ETHICS OF DATA MANAGEMENT.pptxETHICS OF DATA MANAGEMENT.pptx
ETHICS OF DATA MANAGEMENT.pptxSwetaShivdasani1
 
06 Network Study Design: Ethical Considerations and Safeguards (2016)
06 Network Study Design: Ethical Considerations and Safeguards (2016)06 Network Study Design: Ethical Considerations and Safeguards (2016)
06 Network Study Design: Ethical Considerations and Safeguards (2016)Duke Network Analysis Center
 
06 Network Study Design: Ethical Considerations and Safeguards
06 Network Study Design: Ethical Considerations and Safeguards06 Network Study Design: Ethical Considerations and Safeguards
06 Network Study Design: Ethical Considerations and Safeguardsdnac
 
Research ethics and problems encountred by reseachers
Research ethics and problems encountred by reseachers Research ethics and problems encountred by reseachers
Research ethics and problems encountred by reseachers ErTARUNKASHNI
 
IFY_SSc_Lecture4_Ethics.pptx
IFY_SSc_Lecture4_Ethics.pptxIFY_SSc_Lecture4_Ethics.pptx
IFY_SSc_Lecture4_Ethics.pptxEyalClyne
 
Research Ethics and Academic Honesty
Research Ethics and Academic HonestyResearch Ethics and Academic Honesty
Research Ethics and Academic HonestyDr Trivedi
 
confidentiality in the workplace
confidentiality in the workplaceconfidentiality in the workplace
confidentiality in the workplaceNova Zamora
 
Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)
Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)
Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)ARDC
 
Media ethics, issues and controversies
Media ethics, issues and controversiesMedia ethics, issues and controversies
Media ethics, issues and controversiesawainaarbee
 
RESEARCH REPORT 2018.pptx
RESEARCH REPORT 2018.pptxRESEARCH REPORT 2018.pptx
RESEARCH REPORT 2018.pptxJessicaAngeleo3
 
Ethical issues in research
Ethical issues in researchEthical issues in research
Ethical issues in researchLaiba Yaseen
 
STUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docx
STUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docxSTUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docx
STUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docxlillie234567
 

Similar to DREaM Event 2: Charles Oppenheim (Handout) (20)

Research methodology ethical issues in research an assignment
Research methodology  ethical issues in research   an assignmentResearch methodology  ethical issues in research   an assignment
Research methodology ethical issues in research an assignment
 
ETHICS-IN-QUALITATIVE-RESEARCH.pptx
ETHICS-IN-QUALITATIVE-RESEARCH.pptxETHICS-IN-QUALITATIVE-RESEARCH.pptx
ETHICS-IN-QUALITATIVE-RESEARCH.pptx
 
Confidentiality
ConfidentialityConfidentiality
Confidentiality
 
ETHICS OF DATA MANAGEMENT.pptx
ETHICS OF DATA MANAGEMENT.pptxETHICS OF DATA MANAGEMENT.pptx
ETHICS OF DATA MANAGEMENT.pptx
 
06 Network Study Design: Ethical Considerations and Safeguards (2016)
06 Network Study Design: Ethical Considerations and Safeguards (2016)06 Network Study Design: Ethical Considerations and Safeguards (2016)
06 Network Study Design: Ethical Considerations and Safeguards (2016)
 
06 Network Study Design: Ethical Considerations and Safeguards
06 Network Study Design: Ethical Considerations and Safeguards06 Network Study Design: Ethical Considerations and Safeguards
06 Network Study Design: Ethical Considerations and Safeguards
 
Research ethics and problems encountred by reseachers
Research ethics and problems encountred by reseachers Research ethics and problems encountred by reseachers
Research ethics and problems encountred by reseachers
 
JALWIN_ENDCHAPTER.pdf
JALWIN_ENDCHAPTER.pdfJALWIN_ENDCHAPTER.pdf
JALWIN_ENDCHAPTER.pdf
 
Unit 14 lo2
Unit 14 lo2Unit 14 lo2
Unit 14 lo2
 
IFY_SSc_Lecture4_Ethics.pptx
IFY_SSc_Lecture4_Ethics.pptxIFY_SSc_Lecture4_Ethics.pptx
IFY_SSc_Lecture4_Ethics.pptx
 
Research Ethics and Academic Honesty
Research Ethics and Academic HonestyResearch Ethics and Academic Honesty
Research Ethics and Academic Honesty
 
confidentiality in the workplace
confidentiality in the workplaceconfidentiality in the workplace
confidentiality in the workplace
 
Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)
Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)
Questions asked during 23 May webinar (Ethics, Legal issues and data sharing)
 
Media ethics, issues and controversies
Media ethics, issues and controversiesMedia ethics, issues and controversies
Media ethics, issues and controversies
 
ethic in research.pptx
ethic in research.pptxethic in research.pptx
ethic in research.pptx
 
RESEARCH REPORT 2018.pptx
RESEARCH REPORT 2018.pptxRESEARCH REPORT 2018.pptx
RESEARCH REPORT 2018.pptx
 
4514611.ppt
4514611.ppt4514611.ppt
4514611.ppt
 
Ethical issues in research
Ethical issues in researchEthical issues in research
Ethical issues in research
 
STUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docx
STUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docxSTUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docx
STUDENT REPLIESSTUDENT REPLY #1 Danielle BerlusThe evolution.docx
 
Research Ethics.pptx
Research Ethics.pptxResearch Ethics.pptx
Research Ethics.pptx
 

More from Library and Information Science Research Coalition

More from Library and Information Science Research Coalition (20)

Research into practice: library and information research resources briefing
Research into practice: library and information research resources briefingResearch into practice: library and information research resources briefing
Research into practice: library and information research resources briefing
 
Research into practice: The present situation
Research into practice:The present situationResearch into practice:The present situation
Research into practice: The present situation
 
DREaM 5: Library and information science practitioner researcher excellence a...
DREaM 5: Library and information science practitioner researcher excellence a...DREaM 5: Library and information science practitioner researcher excellence a...
DREaM 5: Library and information science practitioner researcher excellence a...
 
DREaM 5: DREaM past, present and future
DREaM 5: DREaM past, present and futureDREaM 5: DREaM past, present and future
DREaM 5: DREaM past, present and future
 
DREaM 5: Building evidence of the value and impact of library information ser...
DREaM 5: Building evidence of the value and impact of library information ser...DREaM 5: Building evidence of the value and impact of library information ser...
DREaM 5: Building evidence of the value and impact of library information ser...
 
We have a DREaM: the Developing Research Excellence & Methods network
We have a DREaM: the Developing Research Excellence & Methods networkWe have a DREaM: the Developing Research Excellence & Methods network
We have a DREaM: the Developing Research Excellence & Methods network
 
Presentation on the RiLIES projects at QQML2012
Presentation on the RiLIES projects at QQML2012Presentation on the RiLIES projects at QQML2012
Presentation on the RiLIES projects at QQML2012
 
Kevin Swingler: Introduction to Data Mining
Kevin Swingler: Introduction to Data MiningKevin Swingler: Introduction to Data Mining
Kevin Swingler: Introduction to Data Mining
 
Dr Phil Turner: Techniques from Psychology
Dr Phil Turner: Techniques from PsychologyDr Phil Turner: Techniques from Psychology
Dr Phil Turner: Techniques from Psychology
 
Dr Harry Woodroof: Introduction to Horizon Scanning
Dr Harry Woodroof: Introduction to Horizon ScanningDr Harry Woodroof: Introduction to Horizon Scanning
Dr Harry Woodroof: Introduction to Horizon Scanning
 
Welcome to DREaM3
Welcome to DREaM3Welcome to DREaM3
Welcome to DREaM3
 
Mike Thelwall: Introduction to Webometrics
Mike Thelwall: Introduction to WebometricsMike Thelwall: Introduction to Webometrics
Mike Thelwall: Introduction to Webometrics
 
Thomas Haigh: Techniques from History
Thomas Haigh: Techniques from HistoryThomas Haigh: Techniques from History
Thomas Haigh: Techniques from History
 
Strengthening the links between research and practice: the Research in Librar...
Strengthening the links between research and practice: the Research in Librar...Strengthening the links between research and practice: the Research in Librar...
Strengthening the links between research and practice: the Research in Librar...
 
LIS DREaM 2: Social Network Analysis Workshop Exercise Results
LIS DREaM 2: Social Network Analysis Workshop Exercise ResultsLIS DREaM 2: Social Network Analysis Workshop Exercise Results
LIS DREaM 2: Social Network Analysis Workshop Exercise Results
 
DREaM Event 2: Andy McKinlay
DREaM Event 2: Andy McKinlayDREaM Event 2: Andy McKinlay
DREaM Event 2: Andy McKinlay
 
DREaM Event 2: Louise Cooke
DREaM Event 2: Louise CookeDREaM Event 2: Louise Cooke
DREaM Event 2: Louise Cooke
 
I have a DREaM
I have a DREaMI have a DREaM
I have a DREaM
 
LIS DREaM 1: Breakout session 3
LIS DREaM 1: Breakout session 3LIS DREaM 1: Breakout session 3
LIS DREaM 1: Breakout session 3
 
LIS DREaM 1: One Minute Madness
LIS DREaM 1: One Minute MadnessLIS DREaM 1: One Minute Madness
LIS DREaM 1: One Minute Madness
 

Recently uploaded

ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxChelloAnnAsuncion2
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 

Recently uploaded (20)

ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 

DREaM Event 2: Charles Oppenheim (Handout)

  • 1. RESEARCH ETHICS AND LEGAL ISSUES Professor Charles Oppenheim – 25 October 2011 WHAT ARE ETHICS?  Moral principles that govern a person’s behaviour or the conducting of an activity  The “activity” to be focussed on is undertaking a research project  This handout focuses on some ethical and legal issues associated with LIS research  Much may seem like a teaching a grandmother how to suck eggs; but I’m surprised by the number of student projects/articles I’ve been asked to referee that break some of the guidelines ISSUES TO CONSIDER  Confidentiality  Questionnaires and interviews  Plagiarism and other forms of cheating  Getting published  Data Protection  FoI  Of course, there are lots of other legal and ethical issues that might arise…….
  • 2. CONFIDENTIALITY/ANONYMITY  Remind participants that their answers will be kept confidential and will not be attributed to any individual or organisation (except in those cases where they explicitly agree to be named)  Confidentiality doesn’t just apply to individuals but also to organisations  Unless an organisation has agreed to be named, you should respect its confidentiality – and don’t make it easy for the reader to identify it (e.g., “a well known high street retailer whose trade mark is St. Michael”)  You may have to sign a confidentiality or a non-disclosure agreement (NDA).  Incidentally, it is courteous to send a copy of the final research report to anyone who participated and who has expressed an interest in it QUESTIONNAIRES AND INTERVIEWS  Best not to send out a questionnaire or conduct an interview without checking contents/interview schedule with someone else first!  Pilot studies are strongly recommended  Need to think carefully, and understand, about the pros and cons of various sampling techniques and analysing the results to draw conclusions IT’S IMPORTANT!  Muck it up, and you’ve wasted your and other people’s time; badly designed questions, an arrogant style or poor grammar/spelling will annoy people and may well lead to a low response rate  Make sure any covering note is polite and appropriate
  • 3. QUESTIONNAIRES & INTERVIEWS  Stress to participants they can withdraw or refuse to answer specific questions at any time.  If you want to tape record, ask for permission first.  Don’t DEMAND that they see you or that they reply to your questionnaire.  In my view – not shared by everyone – it is not appropriate to give them a deadline to reply by  Need to think carefully before sending out reminders ASSESSING KNOWLEDGE  Testing people (“what is the lifetime of copyright for an unpublished manuscript?”) can insult them  Asking people to rate their knowledge (“very knowledgeable, knowledgeable, know a little, I know nothing”) might tempt them to lie.  Overall, difficult to get a totally reliable way of assessing knowledge  Nonetheless, the questionnaire issued by DREaM tries to do that in assessing your knowledge of research techniques! APPOINTMENTS  Set clear time and date, and venue  Never be late or fail to keep appointment without warning them  Switch off your mobile when you enter the organisation’s premises  Dress code is normally formal  Any discourtesy reflects badly on you, and on your employer
  • 4. VULNERABLE GROUPS  Your work might involve vulnerable individuals, or school children.  CRB checks likely if you deal with school kids, or if the research takes place in a school, whether or not children are being studied. This can delay start of research, so time elapsed needs to be factored in.  Special care is needed when dealing with vulnerable people, including elderly, ill, criminals, drug users, etc. PLAGIARISM  Deliberate or accidental presentation of another’s words/images/ideas as one’s own  Implication of an intent (perhaps subconscious) to deceive  It might involve infringement of copyright and of Moral Rights  Moral Rights include the Paternity Right (the right to be identified as the author of a piece)  Infringement of copyright occurs if you copy a substantial part of someone else’s copyright work without permission  Infringement of copyright, or of Moral Rights can lead to you being sued for damages  So you can get sued for copying the text and sued separately for failing to provide the original author’s name HOW TO AVOID PLAGIARISM  Use quotation marks when quoting directly, together with an appropriate reference
  • 5.  Paraphrase the text you are using without quotation marks, but still cite the reference OTHER TYPES OF CHEATING  Fabricating results  Adjusting results to suit your pre-set opinion on how the results should pan out, e.g., ignoring or amending results that don’t fit in  A “comprehensive” literature review that ignores contrary evidence GETTING PUBLISHED  Give credit where credit is due by means of co-authorship and/or acknowledgements at end; don’t ignore anyone who gave material assistance  If co-authoring, let the co-authors see the draft article/report so they can comment on it  Respond promptly and courteously to referees’ comments – even if you think they are rubbish. Be prepared to stand up for your corner if you don’t agree with what a referee says.  Moral Rights – a person has the right to object if their name doesn’t appear on something they helped write, and to object if something is written in their name which they did NOT write; they can also object to derogatory treatment of something they wrote DATA PROTECTION  No legal right as such to privacy, though Human Rights Act is nowadays a powerful weapon – see, e.g., phone hacking cases; in general, though,
  • 6. people CAN take CCTV pictures of you, photograph you on the beach, etc., without having to ask your permission  Data protection potentially comes into play once they start “processing”, e.g., storing, publishing, disseminating, amending, the material relating to an individual in any way DATA PROTECTION ACT 1998  The Act ensures that people who handle personal information do so in a professional and appropriate manner, and that they keep individuals informed on what they are doing  Based on the eight Data Protection Principles, which everyone handling personal data must abide by DATA PROTECTION PRINCIPLES  First – inform each individual that you are collecting information about the person, unless this involves “disproportionate effort”; in typical research projects, this exemption is unlikely to apply, so in general, inform people that you are collecting data about them for your research  There is an issue with unobtrusive observational studies. People’s behaviour will be more natural and honest if they don’t know they are being observed or recorded. You need to balance that against the requirement that individuals should be informed data is being collected about them. Best way round is to make all unobtrusive data collection anonymous. Data Protection Act does not apply if no-one can be identified.
  • 7.  Second – you must identify the purposes for which you are collecting the data and let the individuals know this  Third - data collected must be relevant, not excessive or too little information.  Fourth – data must be accurate and where necessary kept up to date  Fifth – hold the data only for as long as it is needed; thus, unless an article is planned based on your work, either destroy the personal data at the end of your research or put anonymised raw data into a data repository, and/or as an appendix to any report/publication.  Sixth - must respect individuals’ rights to inspect data collected about them and/or to object to what is being held about them  Seventh – adequate technical and organisational measures must be in place to ensure data is not disclosed to unauthorised people, cannot be hacked into, and is not amended, destroyed or copied by third parties; need a judgement on the risks involved and sensitivity of the information; thus, for example, surveys of library usage by drug abusers require more control than general surveys of opinions  Eighth – data must not be transferred outside the EEA if the country it is transferred to has inadequate data protection laws – this includes the USA. So do not share data about individuals with overseas colleagues unless you are sure they will protect it properly and/or are subject to sufficiently strong Data Protection laws in their own country.  If you fail to abide by any of these, you are breaking the law! Penalties vary from civil offences (sued for damage) to criminal (fines and/or prison
  • 8. DATA  Covers computerised, manual data, CCTV footage, tape recordings…..  But must be personal, i.e., is about an identified or identifiable living individual  Anonymised data is NOT covered by the Act; data about organisations is also NOT covered (unless organisation is a one man band)  Individual can be anywhere in the world; as long as data controller is based in UK, DPA applies SENSITIVE PERSONAL DATA  Racial or ethnic origin; political opinions; religious or similar beliefs; trade union membership; physical or mental health; sex life; commission or alleged commission of criminal offences and related proceedings  Can only be processed if deliberately put into public domain by the individual, or if you have got explicit written consent to process it  You should not handle such personal data under any other circumstances  Could apply, e.g., when looking at provision of LIS services to trade union members, for ethnic minority groups, or for those in prisons or patients in hospitals FREEDOM OF INFORMATION  Applies only to public sector organisations, such as Universities  Public has a right to demand to see copies of documents held by that pubic authority
  • 9.  Rather limited exemptions  Most research data will be subject to FoI unless it is commercial in confidence (criteria are quite strict for that) or contain personal data ICO’S ADVICE ON FoI AND RESEARCH DATA  The public interest test – The guidance highlights the importance of the public interest test and factors in favour of disclosure that should be considered by higher education institutions.  Commercial information - Many universities and research institutes work in partnership with third parties and will hold commercially sensitive information. The guidance makes clear that disclosures under FOI should not undermine their ability to do this. If there is a genuine need to protect information from disclosure, an FoI request can be refused.  Free and frank discussion – The guidance acknowledges the importance of academics and researchers being able to exchange views internally and to formulate and debate opinions relating to research away from external scrutiny. Protection for this type of information is provided by section 36 of the Act (prejudice to the conduct of public affairs).  Vexatious requests - While most requesters use the legislation responsibly, there is occasionally some misuse of the rights provided by the law - or circumstances where requests become overly burdensome; disrupt a public authority’s ability to perform their core functions, or appear to be part of an intention to disrupt or attack the public authority’s performance. The guidance highlights the provisions under FoI that give exceptions to the duty to answer such requests.
  • 10.  Proactive disclosure - One should willingly accept making research data available wherever possible  E-mails which contain personal data, e.g., remarks about data subjects or researchers, are subject to the DPA.  SEE http://www.ico.gov.uk/news/latest_news/2011/ico-issues-advice- on-the-disclosure-of-research-information-26092011.aspx IF YOU WANT TO KNOW MORE….  For research ethics, do a search on Amazon for the topic – hundreds of books available  For data protection, I recommend Peter Carey’s Data Protection: A Practical Guide to UK and EU Law (OUP), and Rosemary Jay’s Data Protection Law and Practice (Sweet & Maxwell) - both authoritative and (fairly) readable  For FoI, try Peter Carey and Marcus Turle’s Freedom of Information Handbook (The Law Society) Professor Charles Oppenheim c.oppenheim@btinternet.com DREaM Event 2, Edinburgh October 2011