Importance Of Spatial Metadata

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Abstract: Spatial information is useful in making decisions at local, regional and global levels. As a result, the Spatial data users are dramatically increasing. Spatial metadata gives description of content, quality, type, creation and distribution about a dataset. Spatial data can be managed in multi-dimensional view to present information at different levels so that the results can be visualised in the form of maps, tables and charts etc. Spatial data is widely received from different sources and metadata is used to provide information about spatial dataset. This paper defines Spatial metadata, importance of Spatial data, Spatial Metadata Life Cycle. Keywords: Spatial data , Spatial Metadata, Spatial Metadata Life Cycle. Metadata: The…show more content…
Metadata is the key to ensuring that digital resources will survive and continue to be accessible into the future. Similarly, the metadata concept has been defined by the geospatial community. It can be classified into two different forms. The first, and oldest, form of metadata occurs within Geographic Information System (GIS), Computer Aided Design (CAD) packages and databases where it is an underlying set of rules which tells a software program how to handle data. The second form of metadata is a recent development. Metadata have become products in their own right, especially in the spatial data management field, where they are used to describe the characteristics of datasets. This form of metadata is a summary document providing content, quality, type, creation, and spatial information about a dataset. The spatial metadata term is based on the definition of the second form of metadata. This kind of metadata describes different aspects of any spatial data, including…show more content…
Metadata are set of data that gives information about other data. It is related to objects that have an explicit an effective, efficient and continual approach for managing the metadata of vastly growing spatial data is essential to facilitate sharing, discovery, and access of data. However, the current spatial metadata management approaches deal with different issues and challenges[3]. Metadata is commonly collected and created in a separate process from the spatial data lifecycle, which requires the metadata author or responsible party to put extra effort into gathering necessary data for metadata creation. Also, dataset creation and editing are detached from metadata creation and editing procedures, necessitating diligent updating practices involving at a minimum, two separate applications. Metadata and related spatial data are often stored and maintained separately using a detached data model. This issue results in avoiding the automatic and simultaneous metadata updating when a dataset is modified. In addition, the end users are disconnected from the metadata creation and improvement process. The current spatial data catalogues require more interaction with the end users, and in particular, to improve the content of the ‘keyword’ metadata

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