  In library and information science, document storage and user-specific
document retrieval are the main aspects of digital library services. To
preserve the cultural heritage, documents, and literature, we need a common
platform where all types of documents are available in a specific format. Our
proposed software tool, ADCT can handle a bulk amount of data and transforms
different types of raw data into specified metadata information. It generalizes
multiple forms of curation logic applied to the source data. As state of the
art, many research activities is done in various university to manage their
research data in digital library services. The author provides descriptive
statistics of library and information service (LIS) activities for information
storage and retrieval. The paper shows research on methodology, information
gathering, and scientific communication done on library data as an activity of
the LIS community. The analysis of LIS data and the change of interest in
information storage and retrieval from classification and indexing to retrieval
are much important. For Building these types of digitized educational services,
automatic data curation is an important stepping stone. The paper shows that
automation can complement expertise and knowledge. The author builds an
automated data transformation and curation tool that assists users in the
analysis of metadata information and effort towards conforming to generic
standards using a catalog when a librarian wants to see the adjacent related
metadata for an archival collection of congressional correspondence.
