RESUMO
La acidosis metabólica se ha convertido en un problema muy serio, tanto en las áreas críticas, como de medicina interna y emergencias, sobre todo por la innumerable cantidad de patologías que la presentan; que ha encaminado a muchos profesionales a usar el bicarbonato de Na (NaHCO3-), que definitivamente tiene un efecto en el ascenso del pH y el HCO3-, asociado a un sosiego inverosímil del profesional médico y probablemente a un escaso beneficio por parte de los pacientes; este estudio trata de explicar en forma concisa a la etiología de la acidosis metabólica y la real indicación de esta droga, que hasta el momento podría tener más perjuicios que beneficios.
Metabolic acidosis has become a very serious problem, both in critical areas, such as internal medicine and emergencies, especially due to the innumerable number of pathologies that present it; which has led many professionals to use Na bicarbonate (NaHCO3-), which definitely has an effect on the rise in pH and HCO3-, associated with an unlikely calmness of the medical professional and probably with little benefit on the part of the patients. patients; This study tries to concisely explain the etiology of metabolic acidosis and the real indication of this drug, which up to now could have more harm than good.
RESUMO
Increasingly, research and management in natural resource science rely on very large datasets compiled from multiple sources. While it is generally good to have more data, utilizing large, complex datasets has introduced challenges in data sharing, especially for collaborating researchers in disparate locations ("distributed research teams"). We surveyed natural resource scientists about common data-sharing problems. The major issues identified by our survey respondents (n = 118) when providing data were lack of clarity in the data request (including format of data requested). When receiving data, survey respondents reported various insufficiencies in documentation describing the data (e.g., no data collection description/no protocol, data aggregated, or summarized without explanation). Since metadata, or "information about the data," is a central obstacle in efficient data handling, we suggest documenting metadata through data dictionaries, protocols, read-me files, explicit null value documentation, and process metadata as essential to any large-scale research program. We advocate for all researchers, but especially those involved in distributed teams to alleviate these problems with the use of several readily available communication strategies including the use of organizational charts to define roles, data flow diagrams to outline procedures and timelines, and data update cycles to guide data-handling expectations. In particular, we argue that distributed research teams magnify data-sharing challenges making data management training even more crucial for natural resource scientists. If natural resource scientists fail to overcome communication and metadata documentation issues, then negative data-sharing experiences will likely continue to undermine the success of many large-scale collaborative projects.