scholarly journals Research Integrity in the Context of Responsible Research and Innovation (RRI) Framework

2019 ◽  
Vol 39 (2) ◽  
pp. 82-86
Author(s):  
Anup Kumar Das

In April 2017 the Research and Information System for Developing Countries (RIS), in collaboration with the Department of Science and Technology, Government of India, organized a national consultation on Responsible Research and Innovation (RRI). Five key issues aligning in the RRI framework were discussed in the meeting, which are namely public engagement, open access, gender equality, science education, and ethics. As pointed out by the expert panelists, the aspects of ethics in research and academia include the research integrity, minimization of research misconduct and plagiarism, besides a few others. Recently launched “RRI-Practice Report from National Case Study: India”, extensively analyzed the public policy instruments facilitating the governance of responsible research in India. The fundamental tenets of responsibility in research and innovation are to be based on the ideas of Access, Equity, and Inclusion (AEI), as identified by the said country case study. On the other hand, the idea of Scientific Social Responsibility (SSR) was advocated by the Prime Minister of India in lines with the Corporate Social Responsibility (CSR) during the 104th Indian Science Congress, 2017. RRI framework addresses many of the critical issues related to SSR. This paper explores the opportunities and challenges in the RRI Framework while ensuring the research integrity in India. This paper includes the highlights from the INSA Policy Statement on "Dissemination and Evaluation of Research Output in India" (2018), UGC (Promotion of Academic Integrity and Prevention of Plagiarism in Higher Educational Institutions) Regulations (2018), and RRI-Practice’s “Report from National Case Study: India” (2018).

2019 ◽  
Vol 2 (1) ◽  
pp. 65-76
Author(s):  
Anne M Dijkstra ◽  
Lin Yin

Ensuring that science meets the needs of society and does so responsibly is a key aim of current European policymaking. Under the label of ‘responsible research and innovation’, European Union projects, such as the NUCLEUS project, have been funded to both study and stimulate practices for the development of responsible science–society relationships. The NUCLEUS project aims to define a broader cultural, international and enriched perspective on what a responsible science–society relationship entails. In this paper, findings from a comparative case study in China are presented. Practices are analysed at the conceptual, governmental, institutional and individual levels. Our findings show that social responsibility is the key to the science–society relationship, and that science popularization is a means to enhance scientific literacy.


2021 ◽  
Vol 13 (12) ◽  
pp. 6879
Author(s):  
Hassan P. Ebrahimi ◽  
R. Sandra Schillo ◽  
Kelly Bronson

This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem. The study uses literature and news article analysis to map stakeholders in the Canadian digital agricultural sector as a test case for the model. The study proposes a systematic framework which categorises stakeholders into individuals, industrial and societal groups with both direct engagement and supportive roles in digital agriculture. These groups are then plotted against three levels of impact or power in the agri-food system: micro, meso and macro.


Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.


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