Selecting subject specific records from the Bielefeld Academic Search Engine (Part 1)

labs@ub.uni-frankfurt.de (UBLabs) — Fri, 10 Jun 2022 00:00:00 +0100

Introduction

Since 2004, the Bielefeld Academic Search Engine (BASE) offers an aggregated metadata search over scientific publications. By indexing well over 300 million records (60% of which are open access¹) from almost 10,000 international repositories, it provides researchers with an invaluable access to publications. In addition to offering a VuFind based discovery system, the aggregated data is also available via both a live search API and an OAI-PMH interface to enable re-use by 3rd party services.² As a general search engine for scientific documents, the indexed publications are not restricted to any academic discipline or field of research. And while BASE retains available subject terms and – to some extent – even tries to automatically assign Dewey Decimal Classification to a subset, it’s not always straight forward to find resources that pertain to a specific field. That’s where 3rd party services can come into play and try to cater to the needs of specific areas of research. To provide such a service, however, a method of selecting a subject specific subset is required.³

BASE on UBLabs

Selecting subject specific records from the Bielefeld Academic Search Engine (Part 1)

Introduction