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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.
Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method .
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems. [1] Sponsored by the Association for Computing Machinery , this conference focuses on issues such as algorithmic transparency , fairness in machine learning , bias ...
Scientific data science is the use of data science to analyse research papers. It encompasses both qualitative and quantitative methods. Research in scientific data science includes fraud detection [20] and citation network analysis. [21]
Scholarly research in any academic discipline may also be labeled as (partly) transparent (or open research) if some or all relevant aspects of the research are open in the sense of open source, [20] open access and open data, [21] thereby facilitating social recognition and accountability of the scholars who did the research and replication by ...
Empirical studies of data practices in research have "highlighted the need for organizations to offer more formal training and assistance in data management to scientists" [132] In a 2017-2018 international survey of 1372 scientist, most requests for help and formalization were associated with data management plan: "creating data management ...
A statistical survey or a sample survey is an investigation about the characteristics of a phenomenon by means of collecting data from a sample of the population and estimating their characteristics through the systematic use of statistical methodology. The main advantages are the direct control over data collection and the possibility to ask ...