User Manual of Automatic Data Curation Tool(ADCT): A bulk data curator software in Library and Information Science
A. Banerjee, B. Sutradhar

TL;DR
This paper introduces ADCT, an automated data curation tool designed for digital libraries, which transforms raw data into standardized metadata to enhance document storage and retrieval.
Contribution
The paper presents a novel bulk data curation software that automates metadata generation and supports digital library services, improving efficiency and standardization.
Findings
ADCT handles large datasets efficiently.
It standardizes metadata for diverse document types.
Automation complements traditional library expertise.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsResearch Data Management Practices
Methodstravel james · Lib
