High North RD updated

High North RD is now updated with a huge increase in number of indexed records. Number of records now counts more than 540 000, of which 124 000 are research data records. Check it out!

Updated version

New and updated version of High North Research Documents published today. The service now includes close to 200 000 documents.

A new feature is the list of content providers. You are now able to see which content providers are contributing, and you may refine your search by the content provider facet.

The border for High North?

 

Please give us feedback on where we should draw the borderline for High North Research Documents.

We need to draw a geographic borderline, to define what is meant by the High North. Documents related to areas, and topics of relevance to areas north of the line, are included in the database. We are currently using a slightly modified borderline definition from The Arctic Monitoring and Assessment Programme (AMAP) – one of five Working Groups of the Arctic Council. However, we have received feedback from Canada advising us to draw our borderline farther south. And we may need to adjust the line for other regions as well.

The High North border

We therefore invite you to have a closer look at the map with the current High North borderline (click on the map to get a large image), and give us feedback including arguments for adjustments you want us to implement.

The extraction process

High North Research Documents extracts all relevant documents through a simple but intelligent text mining algorithm. The extraction process is mostly done automatically, but does also involve a manual control.

Our last update resulted in 151 085 automatically extracted records and 5158 we will have to manually control for high North relevance. This work is now in progress and the accepted records will be included in our September update. A preliminary result shows an acceptance rate of 33 %.

Welcome to our blog

This will be our news channel for High North Research Documents. Here we will share with you system updates and information about loading of new data, our plans for new and improved functions and our efforts to further improve our extracting algorithm so that it better identifies relevant documents