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Australasian Human Research Ethics Consultancy Services Pty Ltd (AHRECS)

Social Media Research & Ethics0

Posted by Admin in on July 4, 2017

Segment 1: An Introduction to Social Media and Research Ethics


The current influx of social media data presents a valuable opportunity for researchers to access large data sets of rich, naturally occurring data. While researchers have begun taking advantage of this opportunity, questions have arisen around the ethics of how that data should be used. Dr. Leanne Townsend explains these questions and presents a framework for solutions, including case studies to practice application.

Townsend, L. (Academic). (2017). Social media research & ethics [Streaming video]. Retrieved from SAGE Research Methods 04/07/2o17.

The video should advance automatically through the segments of this very practical and useful talk Just in case we have included below direct links to each segment and a consolidated transcript as a PDF

Watch the other segments
Segment 2: Why do researchers need ethical guidance when using social media data?
Segment 3: What are the key areas of concern within social media research?
Segment 4: A Framework For Ethical Research With Social Media Data
Segment 5 – Case studies
Segment 6 – Conclusion

PDF transcript of talk

A Proposal for Considering Research Integrity from the Perspective of Behavioral Economics (Papers: Melissa S. Anderson and Jamal A. Adam | 2014)0

Posted by Admin in on June 25, 2017

Over the past 30 years, cases of scientific misconduct have tended to follow what is by now a familiar pattern: misconduct is intentionally committed, the clandestine misdeeds are revealed, institutions and funders react, investigations ensue, punishments are imposed, and the long process of correcting the research record continues on. Major cases of misconduct usually prompt institutions to review and tighten their research oversight and policies and to improve their approaches to instruction in the responsible conduct of research. When a case becomes a matter of national embarrassment, these reactions can be systemically widespread. There is, of course, variation in this general pattern, particularly in the extent of successful correction of the scientific record (16).

The trajectory of action associated with a misconduct case thus typically begins with an individual, but ownership of the problem rises through the academic research hierarchy to the officials of research institutions, funding agencies and regulatory bodies, among others. The consequences then come back down the hierarchy, often with implications that extend to several academic or administrative departments or even to entire institutions. In the U.S., three primary systemic responses to misconduct have emerged in recent decades: the development and elaboration of policies, regulations, codes of conduct and so on; instruction in the responsible conduct of research; and oversight and other mechanisms for ensuring compliance.

These approaches, though obviously valuable, are designed for general impact across disciplines and research settings. What is needed are strategies to protect research integrity in the specific contexts where the work of research is performed. This shift involves more careful consideration of the following four points…

Anderson, M. S., & Adam, J. A. (2014). A Proposal for Considering Research Integrity from the Perspective of Behavioral Economics. Journal of Microbiology & Biology Education15(2), 173–176.
Publisher (Open Access0:

Integrating the Management of Personal Data Protection and Open Science with Research Ethics (Papers: David Lewis, et al | 2017)0

Posted by Admin in on June 22, 2017


This paper examines the impact of the EU General Data Protection Regulation, in the context of the requirement from many research funders to provide open access research data, on current practices in Language Technology Research. We analyse the challenges that arise and the opportunities to address many of them through the use of existing open data practices for sharing language research data. We discuss the impact of this also on current practice in academic and industrial research ethics.

Fatema, K., Lewis, D., & Moorkens, J. (2017). Integrating the Management of Personal Data Protection and Open Science with Research Ethics. Ethics in Natural Language Processing. A Workshop at EACL 2017 4.April.2017 Valencia, Spain​​​

Research Ethics and New Forms of Data for Social and Economic Research0

Posted by Admin in on June 4, 2017

OECD Report reflects on the ethical issues associated with the research use of big data. The massive amounts of data now available coupled with the processing power of even modest consumer electronics allow for triangulation about individuals that calls for new approaches to the ethics of research. While countries with existing research ethics frameworks are well placed to meet this challenge, other countries face a significant challenge. Australia? Watch this space.

This report sets out some basic rules that underpin an ethical approach to research using new forms of data for social and economic research. These rules and the interpretation that we place upon them give rise to a set of recommendations designed to provide a framework for the ethical governance of research using such data. There are assumptions and limitations underpinning these recommendations – they are not cost-free and will be easier to apply in countries with established research ethics procedures, particularly where research organisations and data owners have access to ethical review bodies. The sharing of expertise on, and knowledge about, research ethics between countries is critical to the creation of a common and cost-efficient ethical environment for social scientific research.

OECD (2016), “Research Ethics and New Forms of Data for Social and Economic Research”, OECD Science, Technology and Industry Policy Papers, No. 34, OECD Publishing, Paris.