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Self-monitoring experiments are becoming increasingly common as it is the case in other complex environments their interpretation and reproducibility relies heavily in the amount of associated meta-data available. In this work we propose a standardised reporting guideline to annotate these experiments and facilitate their interpretation. The existence of such reporting guideline may lead the development of future standards that would facilitate platform interoperability, data sharing and the improvement in the interpretation of such experiments as well as their reproducibility.
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