ACN - 101321555 Australasian Human Research Ethics Consultancy Services Pty Ltd (AHRECS)

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Australasian Human Research Ethics Consultancy Services Pty Ltd (AHRECS)

Commentary: a broader perspective on the RePAIR consensus guidelines (Responsibilities of Publishers, Agencies, Institutions, and Researchers in protecting the integrity of the research record) (Papers: Zoë H. Hammatt | December 2018)0

Posted by Admin in on April 14, 2019
 

The topic of responsibilities of publishers, agencies, institutions, and researchers in protecting the integrity of the research record is relevant for each of these stakeholders in the research enterprise. The RePAIR Consensus Guidelines reflect conversations on this important topic among diverse stakeholders rather than a single constituency. As such, they provide a starting point for additional discussion around improving communication among those handling retractions.

To advance the field beyond the Singapore and Montreal Statements and other referenced guidelines such as those produced by the Committee on Publication Ethics (COPE), the RePAIR Guidelines could serve as a springboard for articulating points of tension and offering solutions.

If these guidelines seek to offer specific recommendations on procedural aspects of interaction between stakeholders, however, extension beyond existing procedural guidelines (e.g., COPE and CLUE, referenced in the article) would be necessary. Such extension would require thorough literature review and additional consultation to ensure feasibility and a clear focus.

Hammatt, ZH (2018) Commentary: a broader perspective on the RePAIR consensus guidelines (Responsibilities of Publishers, Agencies, Institutions, and Researchers in protecting the integrity of the research record). Research Integrity and Peer Review. 20183:14 https://doi.org/10.1186/s41073-018-0056-0

Publisher (Open Access): https://researchintegrityjournal.biomedcentral.com/articles/10.1186/s41073-018-0055-1

RePAIR consensus guidelines: Responsibilities of Publishers, Agencies, Institutions, and Researchers in protecting the integrity of the research record (Papers: Collaborative Working Group from the conference “Keeping the Pool Clean… | December 2018)0

Posted by Admin in on April 14, 2019
 

Abstract
The progression of research and scholarly inquiry does not occur in isolation and is wholly dependent on accurate reporting of methods and results, and successful replication of prior work. Without mechanisms to correct the literature, much time and money is wasted on research based on a crumbling foundation. These guidelines serve to outline the respective responsibilities of researchers, institutions, agencies, and publishers or editors in maintaining the integrity of the research record. Delineating these complementary roles and proposing solutions for common barriers provide a foundation for best practices.

Keywords
Research integrity, Retractions, Researchers, Publishers, Editors, Agencies, Institutions, Research misconduct, International, Communication

Research Integrity and Peer Review – RePAIR consensus guidelines: Responsibilities of Publishers, Agencies, Institutions, and Researchers in protecting the integrity of the research record. Research Integrity and Peer Review 2018, 3:15
https://doi.org/10.1186/s41073-018-0055-1
Publisher (Open Access): https://researchintegrityjournal.biomedcentral.com/articles/10.1186/s41073-018-0055-1

Corruption risks involving publicly funded research (CCC | December 2017)0

Posted by Admin in on April 13, 2019
 

 PREVENTION IN FOCUS

What you should know

  • The Queensland public sector conducts research in diverse sectors including medical and health sciences, agriculture, engineering and the biological sciences. In 2014-15, Australian governments spent more than $3,000 million on research and development.
  • Queensland has set the precedent for researchers to be prosecuted and convicted of fraud and attempted fraud in relation to fabrication of research results and fraudulent grant applications.
  • Units of public administrations (UPAs) and those who manage and supervise research within them have a responsibility to ensure not only the intellectual integrity of the work being undertaken within their agency, but also the financial and administrative probity related to its conduct and delivery

Access a complete copy of this guidance  document (PDF)

The Ethics of Learning Analytics in Australian Higher Education. A Discussion Paper (The University of Melbourne | March 2019)0

Posted by Admin in on April 11, 2019
 

Overview

This project brought together learning analytics experts from across Australia to explore key ethical issues relating to the development and use of learning analytics in higher education. The result of these discussions was a discussion paper that provides an outline of seven ethical principles as well as practical considerations associated with the use of learning analytics.

Objective

The ever-increasing availability of data about student activities in educational environments presents many opportunities for the improvement of learning and teaching through the use of learning analytics. In applying analytics, there is an obligation that educators and institutions ensure that data and analysis techniques are used appropriately. The range of ethical considerations that educational institutions must face is complex, and many institutions are still formulating their approach to ensuring ethical practice in this field.

The objective of this project was to draw together contemporary research and current practice in the area of ethics and learning analytics, and use this to produce a discussion paper that provides guidance to a range of higher education stakeholders including students, educators, researchers, and senior leaders.

Corrin, L., Kennedy, G., French, S., Buckingham Shum S., Kitto, K., Pardo, A., West, D., Mirriahi, N., & Colvin, C. (2019). The Ethics of Learning Analytics in Australian Higher Education. A Discussion Paper. https://melbourne-cshe.unimelb.edu.au/research/research-projects/edutech/the-ethical-use-of-learning-analytics

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