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High-quality data are critical to the entire scientific enterprise, yet the complexity and effort involved in data curation are vastly under-appreciated. This is especially true for large observational, clinical studies because of the amount of multimodal data that is captured and the opportunity for addressing numerous research questions through analysis, either alone or in combination with other data sets. However, a lack of details concerning data curation methods can result in unresolved questions about the robustness of the data, its utility for addressing specific research questions or hypotheses and how to interpret the results. We aimed to develop a framework for the design, documentation and reporting of data curation methods in order to advance the scientific rigour, reproducibility and analysis of the data.
Forty-six experts participated in a modified Delphi process to reach consensus on indicators of data curation that could be used in the design and reporting of studies.
We identified 46 indicators that are applicable to the design, training/testing, run time and post-collection phases of studies.
The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large observational studies. They were developed around the needs of neuroscience projects, but we believe they are relevant and generalisable, in whole or in part, to other fields of health research, and also to smaller observational studies and preclinical research. The DAQCORD Guidelines provide a framework for achieving high-quality data; a cornerstone of health research.
Temperature control is clinically important. Peri-operative hypothermia, in particular, carries a significant morbidity and surgical patients are at particular risk from operative heat loss combined with impaired heat conservation caused by anaesthesia. Furthermore, effective re-warming of patients that have been allowed to become cold can be very difficult. Careful pre-operative and intra-operative management can avoid this if the mechanisms of heat loss and redistribution within the body are appreciated.
Measuring heat and temperature
Heat is a form of energy. It arises from the random jostling motion of the particles that make up the matter from which everything is made. The amount of thermal movement is measured by the concept of temperature; objects with little thermal energy having a low temperature. The Celsius/centigrade scale is commonly used in clinical practice and is defined in terms of the freezing (0oC) and boiling (100oC) points of water at standard atmospheric pressure. The SI unit of temperature, however, is the kelvin where 0 K is defined as the temperature at which thermal disorder ceases (absolute zero). A change in temperature of 1oC and 1 K are defined to be the same magnitude so that absolute zero turns out to be equal to -273.15oC.
The risk of morbidity/mortality exists with any surgical/ anaesthetic procedure, but the risk to the central nervous system may be compounded in a patient undergoing a major neurosurgical procedure. The purpose of the pre-operative assessment includes the identification of modifiable risk factors, optimization of the patient's condition, explanation of the risks and formulating the best possible anaesthetic plan for the patient. The general physical examination should focus on the patient's level of consciousness, degree of neurological impairment, mental status, nutrition and vital parameters for baseline. Focused neurological assessment and careful documentation allow the establishment of baseline status and facilitate anaesthetic planning, as well as anticipation of potential perioperative complications. The risk of perioperative respiratory complications is increased in the presence of pre-existing obstructive or restrictive pulmonary disease. Patients at risk of aspiration include those with full stomachs, delayed gastric emptying, bowel obstruction, and gastro-oesophageal reflux.