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Research transparency is a major aspect of scientific research. It covers a variety of scientific principles and practices: reproducibility, data and code sharing, citation standards or verifiability. The definitions and norms of research transparency significantly differ depending on the disciplines and fields of research.
Accountability in Research is devoted to the examination and critical analysis of practices and systems for promoting integrity in the conduct of research. It provides an interdisciplinary, international forum for the development of ethics, procedures, standards, policies, and concepts to encourage the ethical conduct of research and to enhance the validity of research results.
Accountability and transparency are of high relevance for non-governmental organisations (NGOs). In view of their responsibilities to stakeholders, including donors, sponsors, programme beneficiaries, staff, states and the public, they are considered to be of even greater importance to them than to commercial undertakings. [ 12 ]
Researcher accountability implies that researchers are cognizant of, and take some responsibility for, the potential impact of their ways of doing research – and of writing it up – on the social fields of which the research is part. Accountability is linked to considering carefully, and being open to challenge in relation to, one's choices ...
Scientific writing requires transparency in reporting research methods, data collection procedures, and analytical techniques to ensure the reproducibility and reliability of findings. Authors are responsible for accurately representing their data and disclosing any conflicts of interest or biases that may influence the interpretation of results.
A reconstruction of the skull purportedly belonging to the Piltdown Man, a long-lasting case of scientific misconduct. Scientific misconduct is the violation of the standard codes of scholarly conduct and ethical behavior in the publication of professional scientific research.
Accountability for reasonableness is an ethical framework that describes the conditions of a fair decision-making process. It focuses on how decisions should be made and why these decisions are ethical. It was developed by Norman Daniels and James Sabin and is often applied in health policy and bioethics. [1]
Analytic methods transparency (3) Research materials transparency (4) with all the relevant data, code and research materials stored on a "trusted repository" and all analysis being already reproduced independently prior to publication. [56] Design and analysis transparency (5) with dedicated standards for "review and publication". [56]