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Animal Study Registry
Animal Study Registry is an online registry for the preregistration of research studies involving animals. Animal Study Registry was launched in January 2019 and can be used by scientists worldwide. History The reproducibility of animal test results in biomedical research has been questioned repeatedly in the past. Discussions about this replication crisis have already reached the public. In clinical research, the call for transparency led to the introduction of clinical trial registries that disclose the experimental design of clinical trials before the study is conducted. In order to increase the transparency and the quality in the field of preclinical and basic research, the establishment of so-called centralized animal study registries was suggested. The German Federal Institute for Risk Assessment (BfR), as a scientifically independent research institution, has decided to provide an international freely accessible platform for the pre-registration of studies involving anima ...
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Preregistration (science)
Preregistration is the practice of registering the hypotheses, methods, and/or analyses of a scientific study before it is conducted. This can include analyzing primary data or secondary data. Clinical trial registration is similar, although it may not require the registration of a study's analysis protocol. Finally, registered reports include the peer review and in principle acceptance of a study protocol prior to data collection. Preregistration assists in the identification and/or reduction of a variety of potentially problematic research practices, including p-hacking, publication bias, data dredging, inappropriate forms of post hoc analysis, and (relatedly) HARKing. It has recently gained prominence in the open science community as a potential solution to some of the issues that are thought to underlie the replication crisis. However, critics have argued that it may not be necessary when other open science practices are implemented such as Registered Reports. Types Standa ...
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Replication Crisis
The replication crisis (also called the replicability crisis and the reproducibility crisis) is an ongoing methodological crisis in which the results of many scientific studies are difficult or impossible to reproduce. Because the reproducibility of empirical results is an essential part of the scientific method, such failures undermine the credibility of theories building on them and potentially call into question substantial parts of scientific knowledge. The replication crisis is frequently discussed in relation to psychology and medicine, where considerable efforts have been undertaken to reinvestigate classic results, to determine both their reliability and, if found unreliable, the reasons for the failure. Data strongly indicate that other natural, and social sciences are affected as well. The phrase ''replication crisis'' was coined in the early 2010s as part of a growing awareness of the problem. Considerations of causes and remedies have given rise to a new scientifi ...
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Clinical Trial Registries
Preregistration is the practice of registering the hypotheses, methods, and/or analyses of a scientific study before it is conducted. This can include analyzing primary data or secondary data. Clinical trial registration is similar, although it may not require the registration of a study's analysis protocol. Finally, registered reports include the peer review and in principle acceptance of a study protocol prior to data collection. Preregistration assists in the identification and/or reduction of a variety of potentially problematic research practices, including p-hacking, publication bias, data dredging, inappropriate forms of post hoc analysis, and (relatedly) HARKing. It has recently gained prominence in the open science community as a potential solution to some of the issues that are thought to underlie the replication crisis. However, critics have argued that it may not be necessary when other open science practices are implemented such as Registered Reports. Types Standa ...
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Federal Institute For Risk Assessment
The German Federal Institute for Risk Assessment (German: ''Bundesinstitut für Risikobewertung''), abbreviated BfR, is a body under public law of the German federal government with full legal capacity. The institute comes under the portfolio of the Federal Ministry of Food and Agriculture (German: ''Bundesministeriums für Ernährung und Landwirtschaft'', BMEL) and has the task of providing scientific advice to the federal government on issues relating to food safety, product safety, chemical safety, contaminants in the food chain, animal protection and consumer health protection. Further technical supervision is performed by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (chemicals safety, environmental contamination in feed and food) and the Federal Ministry of Transport (transport of hazardous goods, International Convention on Ballast Water Management, Central Command for Maritime Emergencies). Areas of responsibility The B ...
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Publication Bias
In published academic research, publication bias occurs when the outcome of an experiment or research study biases the decision to publish or otherwise distribute it. Publishing only results that show a significant finding disturbs the balance of findings in favor of positive results. The study of publication bias is an important topic in metascience. Despite similar quality of execution and design, papers with statistically significant results are three times more likely to be published than those with null results. This unduly motivates researchers to manipulate their practices to ensure statistically significant results, such as by data dredging. Many factors contribute to publication bias. For instance, once a scientific finding is well established, it may become newsworthy to publish reliable papers that fail to reject the null hypothesis. Most commonly, investigators simply decline to submit results, leading to non-response bias. Investigators may also assume they ma ...
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Data Dredging
Data dredging (also known as data snooping or ''p''-hacking) is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives. This is done by performing many statistical tests on the data and only reporting those that come back with significant results. The process of data dredging involves testing multiple hypotheses using a single data set by exhaustively searching—perhaps for combinations of variables that might show a correlation, and perhaps for groups of cases or observations that show differences in their mean or in their breakdown by some other variable. Conventional tests of statistical significance are based on the probability that a particular result would arise if chance alone were at work, and necessarily accept some risk of mistaken conclusions of a certain type (mistaken rejections of the null hypothesis). This level of risk is called the ''s ...
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