Analysis of information sources in references of the Wikipedia article "元数据" in Chinese language version.
2016年接著開展第4步驟的數據建設工作，透過為海報數碼檔案建立元数据 (Metadata) 及檢索點
Preservation events record activities that affect the long term preservation of digital objects.
Structural metadata are metadata that act as identifiers and descriptors of the data. Context: Structural metadata are needed to identify, use and process data matrixes and data cubes, e.g. names of columns or dimensions of statistical cubes. Structural metadata must be associated with the statistical data, otherwise it becomes impossible to identify, retrieve and navigate the data……Reference metadata describe the contents and the quality of the statistical data. Context: Preferably, reference metadata should include all of the following: a) conceptual metadata describing the concepts used and their practical application, allowing users to understand what the statistics are measuring and, thus, their fitness for use; b) methodological metadata describing methods used for the generation of the data (e.g. sampling, collection methods, editing processes); c) quality metadata describing the different quality dimensions of the resulting statistics (e.g. timeliness, accuracy).
Preservation events record activities that affect the long term preservation of digital objects.
Structural metadata are metadata that act as identifiers and descriptors of the data. Context: Structural metadata are needed to identify, use and process data matrixes and data cubes, e.g. names of columns or dimensions of statistical cubes. Structural metadata must be associated with the statistical data, otherwise it becomes impossible to identify, retrieve and navigate the data……Reference metadata describe the contents and the quality of the statistical data. Context: Preferably, reference metadata should include all of the following: a) conceptual metadata describing the concepts used and their practical application, allowing users to understand what the statistics are measuring and, thus, their fitness for use; b) methodological metadata describing methods used for the generation of the data (e.g. sampling, collection methods, editing processes); c) quality metadata describing the different quality dimensions of the resulting statistics (e.g. timeliness, accuracy).
