Difference between revisions of "EQIPD principles"
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| + | The aim of EQIPD is for the quality system to be perceived as lean, flexible, fit-for-purpose, and user-friendly. To describe these high level terms in more details, 5 principles were phrased to present descriptive statements to describe "what the system is about". | ||
| − | + | The following 5 principles summarize the essence of the EQIPD quality system. | |
| − | + | They are not meant to replace the [[Core Requirements]]. Core requirements are operational implementations of these key principles. | |
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|EQIPD identifies overlapping requirements from different stakeholders towards the use and reporting of randomization. | |EQIPD identifies overlapping requirements from different stakeholders towards the use and reporting of randomization. | ||
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| − | |Focus on goal | + | |Focus on goal |
| − | |Focus on the outcome ( | + | |Focus on the outcome ([[Performance Standards]]), not on the path, timelines or the tools to get there. |
|EQIPD highlights the importance of “randomness” (lack of pattern or predictability) in the correctly developed randomization sequence but leaves it up to the user to select a specific method or tool. | |EQIPD highlights the importance of “randomness” (lack of pattern or predictability) in the correctly developed randomization sequence but leaves it up to the user to select a specific method or tool. | ||
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Latest revision as of 09:14, 16 March 2021
Objective
The aim of EQIPD is for the quality system to be perceived as lean, flexible, fit-for-purpose, and user-friendly. To describe these high level terms in more details, 5 principles were phrased to present descriptive statements to describe "what the system is about".
The following 5 principles summarize the essence of the EQIPD quality system. They are not meant to replace the Core Requirements. Core requirements are operational implementations of these key principles.
Key principles
| Principle | Explanation | Example | |
| Engage with autonomy | Decisions about specific needs and solutions are made by researchers, and not by EQIPD. EQIPD has formulated core requirements for the QS implementation and, as a partner in this process, EQIPD asks critical questions and provides recommendations that are voluntary to follow and are provided only to help the researchers throughout the implementation and use. | EQIPD recommends applying randomization to all studies but it is up to the researcher to decide whether randomization is applying to a particular study or a particular study design | |
| Grow through reflection [1] | What it means to have the right quality level in place is suggested by your environment (collaborators, funders, institution, etc.). EQIPD does not “invent” needs or requirements of your funders or your collaborators. As a partner in this process, EQIPD QS only allows you to see these requirements better and suggests ways of implementing them. | EQIPD identifies overlapping requirements from different stakeholders towards the use and reporting of randomization. | |
| Focus on goal | Focus on the outcome (Performance Standards), not on the path, timelines or the tools to get there. | EQIPD highlights the importance of “randomness” (lack of pattern or predictability) in the correctly developed randomization sequence but leaves it up to the user to select a specific method or tool. | |
| Be transparent | Key research processes must be transparent. This principle applies specifically to retention and accessibility of information related to key decisions related to study design, conduct or analysis (e.g., decisions to include or exclude certain data points in the analysis). | If you decide not to apply randomization, the decision must be stated and must be justified, recorded and reported. | |
| Leave a trace | Key research processes must be traceable. Complementary to the principle above, this principle refers to retention and accessibility of all information that is necessary for a complete reconstruction of a key research process (e.g., Raw data related to reported data are findable, and reported data are reconstructable from raw data). | If you do apply randomization, the way you apply randomization must be traceable and reported | - |
