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Metadata Standards for In situ Observational datasets Girl Paganism, Misha Krassovski, Luca Cinquain, SIG Christensen Renata Christensen, McCoy, Tom Baden, Raymond McCord and Galen y Shipman GOES,
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Start by gathering all the relevant information related to the data you are working with. This includes data sources, data collection methods, and any important details about the data itself.
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Begin documenting the data provenance by recording the source or origin of the data. This can be the organization, agency, or individual who collected or provided the data.
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Next, note down the specific procedures or methods used to collect the data. This may involve describing the techniques, instruments, or tools utilized during the data collection process.
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It is important to mention any intermediate steps or transformations that occurred to the data. For instance, if the raw data was pre-processed, aggregated, or cleaned, make sure to document these steps in chronological order.
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Include any quality control measures that were applied to ensure the accuracy and reliability of the data. This could involve checking for errors, verifying data integrity, or conducting statistical analyses.
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Outline any assumptions, limitations, or uncertainties associated with the data. It's crucial to be transparent about any potential biases, missing data, or assumptions made during the collection or processing stages.
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Finally, document the metadata of the data, which refers to the additional information about the data itself. This may include details about the file format, data structure, variables, units of measurement, and any additional information that can aid the understanding and interpretation of the data.
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Data provenance is a record that describes the origin and history of a dataset, tracking its ownership, modifications, and custodianship within the National Oceanic and Atmospheric Administration (NOAA). It provides transparency, traceability, and accountability for NOAA data.
All agencies, programs, or individuals within NOAA who create, collect, process, or manage datasets are required to file data provenance.
Data provenance forms can be filled out electronically through NOAA's designated data provenance filing system. The system guides users through the required information, including dataset details, relevant metadata, custodian information, and modification history.
The purpose of data provenance in NOAA is to ensure the integrity, reliability, and trustworthiness of the agency's datasets. It allows users to understand the history and context of the data, which is crucial for scientific research, decision-making processes, and data quality assessment.
Data provenance in NOAA requires reporting of essential information such as dataset identifiers, acquisition methods, data sources, processing steps, modifications, custodian details, and any associated metadata or documentation.
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