An issue with which every scholarly publisher is familiar is that of uniquely identifying an entity (be that an organisation, an individual or a piece of content) which may be referred to in different ways […]
Last October, we reviewed the status of the Research Organization Registry (ROR) project to create unique IDs for research organizations worldwide. A year on, ROR is making good progress – the current version of the registry […]
One of the key benefits of DataSalon’s new PaperStack service is that the raw data pulled from manuscript submission systems is automatically enhanced with trusted industry resources, placing it in a wider context in order […]
A new player in the world of organisational IDs came into being in January this year: the Research Organization Registry, or ROR. ROR is a project to create unique IDs for research organisations worldwide. It’s […]
A full understanding of your data assets is important both in underpinning day-to-day operations and in developing business strategy. This applies not only when you’re using external IT systems but also in your internal work […]
Earlier this month we were excited to announce the launch of our brand new Publisher Dashboard service, designed specifically for scholarly publishers to give sales, marketing and editorial teams instant and actionable insight to help […]
If you aren’t already aware of OrgRef, it’s an open dataset providing structured information about academic and research organizations worldwide. The team here at DataSalon built and launched it back in September 2014 as a […]
At the start of the New Year it’s always good to reflect on some of the successes, changes and developments of the previous year. At DataSalon, 2017 was a ‘busy one’ and we were pleased […]
Over the last 10 years, we’ve been working with scholarly publishers to help them clean, link and de-dupe their institutional customers to create unique records from the many different ways customers are recorded in their […]
When you hear the phrase ‘data quality’, you may immediately think of fixing errors, and obviously that’s a fundamental part of improving the quality of your data. But there’s much more to a comprehensive data […]
