WELCOME TO THE WEBSITE OF THE ITC ETHICS COMMITTEE.
The Faculty Board of the Faculty ITC has established an Ethics Committee. Its task is to assure the quality of the ethical review process by establishing quality assurance procedures. In order to do so, it reviews research proposals in the domain of Geo-Information Science, according to and falling within the scope of the Research Ethics Policy of the University of Twente. This includes the self-assessment and provision of information to researchers regarding the review procedure.
EUSurvey, as an application developed by the Commission of the European Union, is committed to user privacy. The policy on the protection of natural persons with regard to the processing of personal data by the Community institutions is based on Regulation (EU) N° 2018/1725 of the European Parliament and of the Council of 23 October 2018 and on the free movement of such data.
Prof. Dr. Ir. A. Stein (chair)
Drs. M.T. Koelen (secretary)
Prof. Dr. P. Y. Georgiadou
Dr. Ir. R.A. de By
V. Kokorev (Ph.D. candidate)
Dr. M.H. Nagenborg (external member, BMS)
Mrs. T.K.A. Brefeld (administrative secretary)
The Committee members meet 4-5 times a year.
The Faculty Board has established an Ethics Committee. Its task is to assure the quality of the ethical review process by establishing quality assurance procedures. In order to do so, it employs the following activities:
a. It reviews research proposals in the domain of Geo-Information Science, according to and falling within the scope of the Research Ethics Policy of the University of Twente. This includes the self-assessment and provision of information to researchers regarding the review procedure.
b. It keeps records of the reviews and archives the reviews according to legal provisions and applicable policies of the University of Twente
c. It informs periodically the Faculty Board of the researcher, or in case of multiple researchers: the Faculty Board of the leading researcher, about the advice of the committee.
From: Faculty Regulations of Geo-Information Science and Earth Observation Article 10f
Geoethics consists of research and reflection on the values that underpin appropriate behavior and practice, wherever human activities interact with the geosphere. It addresses the ethical, social and cultural implications of Earth Sciences education, research and practice, providing a point of intersection for Geosciences, Sociology, Philosophy, and Economy. It further represents an opportunity for Geoscientists to become more conscious of their social role and responsibilities in conducting their activity. Finally, geoethics influence the awareness of society regarding problems related to geo-resources and to the earth's resources and environment.
UNIVERSITY OF TWENTE
- Research Ethics Policy University of Twente
Integrity policies at the University of Twente
- UT Scientific Integrity website
- University of Twente Scientific Integrity Complaints Procedure
OTHER CODES OF CONDUCT OF IMPORTANCE
The new version of the Netherlands Code of Conduct for Research Integrity was published in September 2018. The Royal Netherlands Academy of Arts and Sciences (KNAW), Netherlands Federation of University Medical Centres (NFU), Netherlands Organisation for Scientific Research (NWO), Associated Applied Research Institutes (TO2), Netherlands Association of Universities of Applied Sciences (VH), and the Association of Universities in the Netherlands (VSNU) worked together intensively to thoroughly amend and expand the Code of Conduct that has been in use since 2004. The Code of Conduct will enter into force on 1 October 2018. Committee chair Prof. Keimpe Algra says, “Research integrity is essential if research is to be conducted properly. This new Code of Conduct ensures that the Netherlands keeps up with international developments regarding research integrity. This new Code of Conduct describes clear standards that researchers in many research organizations can apply to their daily practices”.
Ethics guidelines for trustworthy AI
On 8 April 2019, the High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence. This followed the publication of the guidelines' first draft in December 2018 on which more than 500 comments were received through an open consultation.
According to the Guidelines, trustworthy AI should be:
(1) lawful - respecting all applicable laws and regulations
(2) ethical - respecting ethical principles and values
(3) robust - both from a technical perspective while taking into account its social environment
The European Code of Conduct for Research Integrity; revised edition 2017 The European Code of Conduct for Research Integrity serves the European research community as a framework for self-regulation across all scientific and scholarly disciplines and for all research settings. The 2017 revised edition of the Code addresses emerging challenges emanating from technological developments, open science, citizen science and social media, among other areas. The European Commission recognises the Code as the reference document for research integrity for all EU-funded research projects and as a model for organisations and researchers across Europe. The Code was published originally in English on 24 March 2017 and was translated to all official EU languages by the European Commission’s Translational Services and with the support of ALLEA Member Academies.
Ethics Reviewers Researchers Like You; Ethics Features in H2020 Ethics Reviewers Researchers Like You. Presentation by Robert Gianni
The San Code of Research Ethics. South African San Institute 2017
SATORI aims to develop a common European framework for ethical assessment of research and innovation http://satoriproject.eu
The International Association for Promoting Geoethics (IAPG) promotes geoethics through the international collaboration with Associations and Institutions. IAPG is a multidisciplinary, scientific platform for widening the discussion and creating awareness about problems of Ethics applied to the Geosciences.
GDPR (General Data Protection Regulation) effective from 25 May 2018
The general data protection regulation (GDPR) awareness coalition is a not-for-profit, fixed-term initiative run by volunteer ambassadors, designed to assist in raising awareness of the data privacy obligations for companies resulting from current legislation as well as the more onerous obligations which will result from the implementation of the GDPR on 25th May 2018. The GDPR requires you as a researcher to provide clarity and transparency to data subjects about how you handle their personal data. It demands that certain safeguards and security measures be put in place to protect the privacy of data subjects.
Official Law text:
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) Full text
EU surveytool: https://ec.europa.eu/eusurvey/ "EUSurvey, as an application developed by the Commission of the European Union, is committed to user privacy. The policy on the protection of natural persons with regard to the processing of personal data by the Community institutions is based on Regulation (EU) N° 2018/1725 of the European Parliament and of the Council of 23 October 2018 and on the free movement of such data."
Can we use YouTube service aid in the transcription of voice records? Is this GDPR compliant? Yes, this is possible in case you have a UT Google account; you cannot use this service with your own (private) Google account.
When you work with an external party (processor) that helps you processing research data, you may need a processor agreement in case the research data is identifiable to individual persons (also the case if data is coded/pseudonymized). Please contact Marga Koelen or Simon Engelberts to discuss this.
PERSONAL DATA (THANKS TO UNIVERSITY OF UTRECHT)
To show that you’ve considered the potential risks of working with personal data it is important to write down the security measures you will adopt to safeguard the privacy of your data subjects. Be sure to assign responsibilities (record who is authorized to do what) to adhere to the GDPR principle of accountability.
What is personal data:
If you collect research data that can identify a person, then this is classified as personal data. Personal data can include a variety of information, such as name, address, phone number, occupation and IP address.
Sensitive personal data:
Certain personal data is considered particularly sensitive and thus requires more protection. This is because divulging such information may place these individuals in vulnerable or disadvantageous situations. Examples of sensitive personal data include BSN (‘burger service nummer’), criminal history and illegal acts.
Special categories of personal data:
There are special categories of personal data that need extra security. Examples are data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, or trade union membership, genetic data, biometric data for the purpose of uniquely identifying a natural person, data concerning health or data concerning a natural person’s sex life or sexual orientation.
Processing of this special personal data shall be prohibited, except for specific purposes and under certain circumstances. Research is one of the possible exceptions that allows processing of special personal data. Please look at the section further below called “Assessing the risks” for more information on working with special categories of personal data.
Identification Direct or Indirect:
An identifiable natural person is someone who can be identified, either directly or indirectly, by reference to an identifier such as a name, an identification number, location data, an online identifier, an occupation or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.
Keep in mind that even if the information contained within your dataset is not sufficient to identify an individual, this does not necessarily entail that your dataset has been anonymised. If information from other external datasets/registries can be used in conjunction with your own dataset to identify an individual then your dataset it still considered to hold personal data and as such is not fully anonymised. This makes full anonymisation difficult to achieve.
Anonymisation, pseudonimisation and minimisation
Identifiable personal data is data that without a disproportional large effort leads to the identity of a person. The best way to protect your participant's privacy may be to not collect certain identifiable information at all. The second best way to protect data subjects is to apply one or more of the GDPR privacy principles:
Take note that a person's identity cannot only be disclosed by direct identifiers (name, address, telephone number) but also by indirect identifiers (age, place of birth, occupation, family composition, salary) that, linked with other information, can lead to a person's identification. Anonymisation, to the point that the person is no longer identifiable, is one way to avoid having to take strict security measures when sharing your data. In fact fully anonymised data is no longer considered personal data.
Pseudonymization is achieved by replacing the unique identifier of a person with a pseudonym. This measure can provide the means to still be able to link records between sets with information from the same person while protecting their privacy at the same time.
Separate identifiable information from other information
Storing identifiable information apart from other information and storing these and their key separate is another possible security measure you can take.
Personal data that is not necessary to process will not be collected. Personal data that is not processed therefore cannot compromise the privacy of the data subject.
Limit the number of copies of the personal data. The less personal data you store, the less personal data is to be protected and secured.
If it is not feasible to de-identify the data, encrypting data is also a way to prevent personal data to be disclosed
INFORMED CONSENT FORM
Informed consent grants a legal basis for personal data processing and is therefore necessary to collect, share, preserve and use a participant’s personal data.
Every participant should be unambiguously informed of what kind of data will be collected, who the controller of their data is and how their data will be used. Consent must be freely given and all personal data processing should be carried out as stated in the informed consent form. Furthermore, the GDPR requires participants to be made aware of their rights to withdraw consent and this process should be as easy as giving consent.
Synopsis of Netherlands Code of Conduct for Research Integrity
The Association of Universities in the Netherlands (VSNU) recently published its Netherlands Code of Conduct for Research Integrity
In the below summary, we quote from that report’s Preamble and its chapter on Principles. We also provide a small clarification for junior researchers.
“In the words of the European Code of Conduct for Research Integrity (revised version, 2017), (ALLEA, 2017) research is ‘the quest for knowledge obtained through systematic study and thinking, observation and experimentation’. Although disciplines may differ in approach and method, they share a motivation to increase and to spread our understanding of ourselves and the world in which we live. In our modern knowledge society, scientific and scholarly research has thereby acquired an indispensable role. In providing knowledge and understanding of all aspects of reality, science and scholarship also provide the building blocks for political decision-making and the stimulus for societal development and economic growth. Increasingly, the sciences and the humanities are subject to more, and better articulated, demands on the part of politics and society.
If scientific and scholarly research is to perform this role properly, research integrity is essential. This holds true for all disciplines.
Research in the sciences and the humanities derives its status from the fact that it is a process governed by standards. That normativity is partly methodological and partly ethical in nature, and can be expressed in terms of a number of guiding principles: honesty, scrupulousness, transparency, independence and responsibility. Researchers who are not guided by these principles risk harming both the quality and the trustworthiness of research. This can take the form of direct damage, for example to the environment or to patients, and can undermine public trust in scientific and scholarly research as well as mutual trust between individual researchers. It is therefore vital that the principles of research integrity and the ensuing guidelines for good research practices be defined with the greatest possible clarity and be acknowledged and applied as widely as possible.
Honesty means, among other things, reporting the research process accurately, taking alternative opinions and counterarguments seriously, being open about margins of uncertainty, refraining from making unfounded claims, refraining from fabricating or falsifying data or sources and refraining from presenting results more favourably or unfavourably than they actually are.
Scrupulousness means, among other things, using methods that are scientific or scholarly and exercising the best possible care in designing, undertaking, reporting and disseminating research
Transparency means, among other things, ensuring that it is clear to others what data the research was based on, how the data were obtained, what and how results were achieved and what role was played by external stakeholders. If parts of the research or data are not to be made public, the researcher must provide a good account of why this is not possible. It must be evident, at least to peers, how the research was conducted and what the various phases of the research process were. At the very least, this means that the line of reasoning must be clear and that the steps in the research process must be verifiable.
Independence means, among other things, not allowing the choice of method, the assessment of data, the weight attributed to alternative statements or the assessment of others’ research or research proposals to be guided by non-scientific or non-scholarly considerations (e.g., those of a commercial or political nature). In this sense, independence also includes impartiality. Independence is required at all times in the design, conduct and reporting of research, although not necessarily in the choice of research topic and research question.
Responsibility means, among other things, acknowledging the fact that a researcher does not operate in isolation and hence taking into consideration – within reasonable limits – the legitimate interests of human and animal test subjects, as well as those of commissioning parties, funding bodies and the environment. Responsibility also means conducting research that is scientifically and/or societally relevant. “ (VSNU, 2018)
Above information applies to every researcher; also MSc students who could be considered as junior researchers and they might need a bit more clarification on the above conduct.
Clarification for junior researchers
For many students, the MSc thesis work is the first project in which they conduct research independently. The project proposal often shapes around a working hypothesis that the student will aim to test, and then accept or refute. Typically, the hypothesis has intuitive merit and one may expect it to be accepted, perhaps under conditions. Intuition, however, is not infallible, and thus refutation of the hypothesis should never be ruled out. It helps to try find evidence against the hypothesis. The thesis hypothesis is sometimes interpreted by junior researchers as a research contract condition to deliver on, and then a refuted hypothesis may look like a failed research project. But this is a misconception.
A good MSc research project turns things inside out, aims to find every possible argument, and will look at all evidence in favour and against. An Msc thesis presents such evidence in a balanced way and describes and discusses the methods that produced the evidence. In ITC context, this, amongst others, means that one describes the data selection process transparently: which data was selected (and why), and which data was not selected (and why not). The same holds for the choice of methods, and the student needs to provide convincing arguments that there is no bias in these choices.
Non-scientific and non-scholarly considerations may be in play in applied research projects, which often address problems that exist in real life. There is additional risk for these when the student collaborates with third parties such as companies or (non-)governmental organizations, which may have the aim to have science support their views. The responsibility for the student then is to remain impartial, and develop factual arguments and results that are scientifically robust.
For more information see the following webpages:
ALLEA. (2017). The European Code of Conduct for Research Integrity. Revised edition. 1–20. https://doi.org/10.1037/e648332011-002
VSNU. (2018). Netherlands Code of Conduct for Research Integrity. Retrieved from https://doi.org/10.17026/dans-2cj-nvwu
1 “AN INTRODUCTION INTO INTELLECTUAL PROPERTY (IP) ISSUES IN PUBLIC PRIVATE PARTNERSHIPS”
Date: June 12th 2019
dr. ir. Peter van Dongen and dr.ir. Roy Kolkman
2 "INTELLECTUAL PROPERTY WORKSHOP FOR RESEARCHERS – PRACTICAL INFORMATION ON THE VALORISATION OF RESEARCH"
Date: 16th October
1. Differences between discoveries and inventions?
2. How to identify partners using patent databases?
3. Use of open source IP databases and assignment
ENTREPRENEURIAL RESEARCHER : WORKSHOP
Nowadays, the world is asking for an Entrepreneurial Researcher, a sort of researcher 2.0: a researcher who is able to translate research into business opportunities and is able to communicate with industry: This requires the researcher to acquire entrepreneurial skills. This course aims to teach University of Twente’s doctoral candidates how to transform the outputs of their research into business opportunities.
3 SPACE FOR ETHICS
Any scientist sooner or later finds her-/himself in a situation that presents an ethical dilemma. A choice may need to be made on the basis of moral values, and no outcome may be obviously preferable above the other(s). How does the scientist address this, what constitutes proper professional conduct, and which ethical code should we follow? In this lecture and workshop, we aim to discuss these matters specifically in the context of geo-information science.
Much of the research effort undertaken at ITC takes place in a context of the UN’s Sustainable Development Goals. We work with, for and around the most vulnerable people, animals, and ecosystems, and our work aims to have an impact. Accidents may happen, and research effort that has been carelessly thought up and executed may have serious consequences. We have responsibilities.
For instance, studies of endangered species such as some parrot species may lead to the publication of locations of sighting or even nesting, to the publication of sound recordings or to disclosure of trapping techniques. While “methods used” need to be published, details in such may equip poachers with powerful operational mechanisms to trap birds illegally.
In the lecture and workshop, professor Philip Brey, professor of philosophy of technology at the Department of Philosophy, University of Twente, will first give a lecture that will help us get a grip on these dilemmas, help us to think them through, and dissect them systematically. We will next split up into groups and work on one of a few prepared, concrete dilemma cases. The workshop wraps up with a presentation from some of the groups on their findings.
Privacy by desing; Open courseware
At Karlstad University, we have developed advanced level academic courses addressing critical aspects of the EU General Data Protection Regulation (GDPR). The courses are open for public access, to address the general interest, aid businesses competence development and their implementation of the regulation.
What universities can learn from one of science’s biggest frauds
Detailed analysis of misconduct investigations into huge research fraud suggests institutional probes aren’t rigorous enough.
San people of Africa draft code of ethics for researchers . By Linda Nordling Mar. 17, 2017 , 3:30 PM . Researchers have eagerly studied Africa’s San people, some of whom are shown here foraging in a grassland. Now, the San have drawn up a code of ethics to govern scientists’ interactions with them. https://www.sciencemag.org/news/2017/03/san-people-africa-draft-code-ethics-researchers
An interesting article on open data sharing: Open data sharing and the Global South - Who benefits?
Whitepaper: Practical challenges for researchers in data sharing / by David Stuart Grace etc. In one of the largest surveys of researchers about research data (with over 7,700 respondents), Springer Nature finds widespread data sharing associated with published works and a desire from researchers that their data are discoverable. This whitepaper examines the results of this survey and discusses the challenges that researchers face in sharing their data. The whitepaper looks at data sharing attitudes globally, as well as in relation to region, subject and seniority. Full article
Evaluation of Research Careers fully acknowledging open science practices; reards, incentives and/or recognition for researchers racticing Open Science. Open Science represents an approach to research that is collaborative, transparent and accessible5. There are a wide range of activities that come under the umbrella of Open Science that include open access publishing, open data, open peer review and open research. It also includes citizen science, or more broadly, stakeholder engagement, where non specialists engage directly in research. Open Science goes hand in hand with research integrity and requires legal and ethical awareness on the part of researchers. A driver for Open Science is improving the transparency and validity of research as well as in regards to public ownership of science, particularly that which is publicly funded. Researchers across Europe already practise Open Science to some extent through, for example, open access to their publications. Some already provide open data, engage in open peer review, and stakeholder engagement or citizen science. Researchers advance in their career through assessment and this is the key factor to ensure that Open Science becomes mainstream. The exclusive use of bibliometric parameters as proxies for excellence in assessment by most funding agencies and universities/research organisations does not facilitate Open Science. Researchers’ engagement in Open Science will increase through encouragement and incentives from employers and funders through assessment. Full report
All the research conducted at the ITC or by ITC Staffshould be approved by the Ethics Committee. Please contact Marga Koelen, Secretary ITC Ethics Comittee, Room 1-156 or e-mail to: email@example.com
All questions related to ethical aspects of research or the scope of this committee can be addressed to: firstname.lastname@example.org