Remove Duplicates from Publishing and Book Catalog Data
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Publishers, distributors, libraries, and bookstores maintain title databases from multiple metadata sources: ONIX feeds, distributor catalogs, Library of Congress records, and manually entered backlist titles. The same book can appear under its hardcover ISBN, paperback ISBN, e-book ISBN, and audiobook ISBN as four separate records. Author names vary between 'J.K. Rowling', 'Rowling, J. K.', and 'Joanne Rowling' across systems. dataclean.to matches publishing records by title, author, ISBN family, and publisher to consolidate duplicate entries into clean, authoritative catalog records.
The Problem
Duplicate title records in publishing data create problems across the supply chain. A bookstore's website showing the same book four times under different format ISBNs confuses shoppers and fragments reviews. Publishers with duplicate backlist entries cannot accurately report how many unique titles they carry. Library catalogs with duplicates waste shelf space labels, inflate collection counts for grant reports, and confuse patrons whose search results show the same work multiple times. Distribution systems with redundant entries process unnecessary returns when a retailer thinks they ordered a different product. Rights management databases with duplicates risk licensing the same translation rights to two foreign publishers. International ISBN Agency standards
How to Fix It
1
Export title and author records
Pull catalog data from your publishing management system, ONIX feeds, or distributor databases into CSV format. Include title, subtitle, author name, ISBN-13, format (hardcover/paper/ebook), publisher, publication date, and page count.
2
Upload to dataclean.to
Upload the CSV. The tool compares titles, author names, and ISBN prefixes to identify books listed multiple times under different format editions, metadata sources, or naming conventions.
3
Review duplicate title clusters
Examine grouped entries. Common duplicates include the same book under hardcover and paperback ISBNs entered as separate works, titles listed under an author's pen name and legal name, and new editions entered alongside old editions.
4
Consolidate into canonical title records
Merge confirmed duplicates into single work-level records. List all format-specific ISBNs under one entry, standardize the author name, note all edition dates, and keep the most complete metadata including page count and subject classifications.
5
Export the clean catalog
Download the deduplicated data for import into your catalog system. Clean records show one entry per unique work with all format variants linked, enabling accurate title counts, consolidated reviews, and reliable rights tracking.
Frequently Asked Questions
How does the tool handle different editions of the same book?
Different editions (first edition, revised, anniversary) sharing the same title and author are flagged as related entries. You decide whether to merge them into one work record or keep them as distinct catalog items, depending on whether your system tracks editions separately.
Can it match books listed under an author's pen name and real name?
When author names differ but the title, publisher, and publication date match, the tool flags the entries as potential duplicates. This catches cases where the same book appears under 'Robert Galbraith' and 'J.K. Rowling' across different data sources.
What about co-authored books listed under different primary authors?
A book credited to 'Smith and Jones' in one record and 'Jones and Smith' in another is flagged based on title match and the overlapping author names, regardless of the authorship order.
Example: Input → Output
title
author
date
category
url
10 Tips for Better Data
Jane Smith
2026-03-01
Technology
https://example.com/tips
10 tips for better data
jane smith
March 1 2026
technology
https://example.com/tips
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.