Resources managers and policymakers need to be able to rely on trustworthy data [that is of known and documented quality] to make effective and sound management decisions. But more often than not, water data tends to be stored across a variety of web portals, in varying formats, of unknown quality, and with inconsistent meta data standards.  Quality assurance (QA) of data is necessary to establish a high level of confidence in decision making. These processes extend beyond laboratory data to also include sensor and field data. The focus of this presentation will be a high-level overview of quality assurance, its involvement in every step of the data life cycle (planning, collection, analysis, data management, publishing, and continuous improvement), challenges in effective resource management due to poorly managed data, and the role of quality assurance in finding solutions for these challenges.

Quality data matters: Challenges in effective resource management and solutions through quality assurance

2019 Fall National Meeting

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