In the Global Database, data is sourced from one global data provider: Elsevier.

We collect all publications with the country code Denmark dating from 2011 onwards

Data is imported around the 20th of each month. The subsequent steps involve processing, quality assurance and matching with the Local Data. New data is typically accessible in the Global Database at the start of every other month. Data from the global commercial data provider is imported using the following method:

Elsevier

• Monthly incremental XML data delivery of new and updated publication metadata from Scopus and SciVal. 
• Data are from the citation database Scopus, with additional information on affiliation from Elsevier’s internal affiliation database OrgDB, as well as topic and citation data from the analysis tool SciVal. 
• Biannual comprehensive database update from 2011 onwards to ensure that all metadata is updated.

The Global Database serves as an entry point for searching publications related to Denmark from 2011 onwards, based on metadata from Elsevier (Scopus). 

Publications – Global Data is the default search option and includes all available data from Elsevier.

Since Elsevier is the only global provider of data to the Global Database, it is no longer necessary to select between multiple sources. All filters and search results are based on Elsevier data.

From your search results in the Global Database you can download publication IDs from Elsevier (EID). These IDs can be used for further processing in the data provider’s databases or analytical tools.

To ensure accurate identification and matching of publications, a  sophisticated matching algorithm was originally developed to collate publication records from three global data providers. The algorithm is based on a series of fine-tuned rules that determine whether a publication is one and the same. These rules take into account various conditions, where especially metadata in the form of Persistent Identifiers (DOIs, PMIDs, ISSNs) play a pivotal role in this process.

Since there is now only one global data provider, this first step of the matching process is no longer relevant.

The second part of the matching process remains fully relevant. Publications from the Global Database are matched with their corresponding publication records in the Local Database, thereby establishing a link between the two databases. This information can be found on the individual publication record or via the filter ‘Matching Records in’. Read more about the matching algorithm in the technical documentation.

NORA-Enhancements is a general term for standardised names used across all databases of Research Portal Denmark. Standardisation is done to ensure consistent and structured data, which makes it both easier to search and forms the basis for groupings of particular analytical interest. Metadata elements collected from various data providers often contain multiple and different name variants describing the same value.

In the Global Database, the following metadata elements are standardised (mapped or grouped):

Danish affiliations and groupings

All Danish affiliation names are standardised so that different name variants of the same institution are mapped to a single unified name and placed within a specific grouping. For example, both ‘University of Copenhagen’ and ‘Copenhagen University’ are mapped to the standardised affiliation name ‘KU University of Copenhagen’ and categorised under the grouping ‘Universities’ (find these in the Danish Affiliations filter).

Collaborating countries/regions

The other countries with which Danish authors co-publish (collaboration countries) are grouped into regions of analytical interest. For example, ‘Norway’ is grouped into the regions ‘Europe’, ‘Non-EU’, ‘Nordic‘ and ‘OECD’ (find these in the Global Collaboration – Regions filter).

Subject classifications

The subject classifications from the global data provider Elsevier are mapped and enriched to appear consistent across the databases in Research Portal Denmark. In the Global Database the following subject classifications are standardised:

1. DK Main Research Areas

The Danish classification system DK Main Research Areas was developed in conjunction with Danish research indicators (BFI, OAI). It comprises only four categories that subdivide Danish research across broader domains: Science/Technology, Health Sciences, Social Sciences, and Humanities. Since this classification is specific to the national context, data from the global commercial data provider Elsevier is mapped to these categories through NORA enhancement.

2. DK Green Classification

The Ministry of Higher Education and Science Denmark (UFM) has established an overall definition of green research, development and innovation including seven subtopics to be used across UFM in strategies, analyses, surveys, mapping, monitoring and other initiatives in connection with the green transition. The database based on Elsevier data has been enhanced with a DK Green Classification, which incorporates six out of the seven specified themes.

3. The UN’s global goals for sustainable development

The 17 Sustainable Development Goals (SDGs) set by the United Nations are converted from Elsevier’s SGD names into NORA’s standardized names.

4. OECD

The OECD FORD subject classification, also referred to as Frascati, is converted from the categorization provided by the global data provider Elsevier into the Fields of Research and Development (FORD) classification (2015). This classification is then used as a standardised naming format in the Global Database.

5. AU/NZ FoR

The Fields of Research (FoR) classification is one of the components of the Australian and New Zealand Standard Research classification system (ANZSRC). FoR classifications from the global data provider Elsevier is mapped to FoR version 2.0 from 2020. This classification is consequently used as a standardised naming format in the Global Database.

Open Access categories

The commercial global data provider Elsevier’s Open Access categories are mapped into six categories: All Open Access, Green, Gold, Hybrid, Bronze, and Undetermined.

Read more about NORA-Enhancements in the technical documentation.

A known issue related to the Global Database that is worth being aware of:

• Data is collected in accordance with the definitions, structures, and registrations set by the individual commercial data provider.

In the Operation Status section, you can access a summary of current issues related to updates, such as problems with data harvesting.