Many researchers want to carry out analysis and extraction of information from large sets of data, such as journal articles and other scholarly content. Methods such as screen-scraping are error-prone, place too much strain on content sites and may be unrepeatable or break if site layouts change.
Crossref’s Similarity Check service is used by our members to detect text overlap with previously published work that may indicate plagiarism of scholarly or professional works.
It’s me! Back in January I wrote, The one constant in Crossref’s 20 years has been change. This continues to be true, and the latest change is that I’m happy to say that I will be staying on as Executive Director of Crossref.
Please help us welcome new faces at Crossref!
2020 hasn’t been quite what any of us had imagined. The pandemic has meant big adjustments in terms of working; challenges for parents balancing childcare and professional lives; anxieties and tensions we never had before;
English version –– Información en español –– Version Française The Crossref Nominating Committee is inviting expressions of interest to join the Board of Directors of Crossref for the term starting in 2021. The committee will gather responses from those interested and create the slate of candidates that our membership will vote on in an election in September. Expressions of interest will be due Friday, June 19, 2020.
After 20 years in operation, and as our system matures from experimental to foundational infrastructure, it’s time to review our documentation. Having a solid core of education materials about the why and the how of Crossref is essential in making participation possible, easy, and equitable.
To help better support the discovery, sale and analysis of books, Jennifer Kemp from Crossref and Mike Taylor from Digital Science, present seven reasons why publishers should collect chapter-level metadata.
Hello, I’m Paul Davis and I’ve been part of the Crossref support team since May 2017. In that time I’ve become more adept as a DOI detective, helping our members work out whodunnit when it comes to submission errors.
TL;DR Many organisations are doing what they can to aid in the response to the COVID-19 pandemic. Crossref members can make it easier for researchers to identify, locate, and access content for text mining.
This blog is long overdue. My apologies for the delay.