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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.
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]
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 ]
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.
In 1998 Andrew Wakefield published a fraudulent research paper in The Lancet claiming links between the MMR vaccine, autism, and inflammatory bowel disease. In 2010, he was found guilty of dishonesty in his research and banned from medicine by the UK General Medical Council following an investigation by Brian Deer of the London Sunday Times. [74]
It also gave details on efforts to reduce judicial corruption as well as recommendations for judiciary participants to avoid and eradicate corruption in their own country. The 2007 report stressed the need for judicial systems to remain “clean” and maintain integrity, accountability and transparency.
Algorithmic accountability refers to the allocation of responsibility for the consequences of real-world actions influenced by algorithms used in decision-making processes. [ 1 ] Ideally, algorithms should be designed to eliminate bias from their decision-making outcomes.
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