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Recently, the European Union made funds available to set-up a crossnational

research database that stores

information concerning scientific

articles of researchers working at institutions in the EU. Science Connect is

the company that will be setting up this database.

The system will store information regarding scientific staff (persons) and

research institutions. Both are uniquely identified by a person ID and an

institution code, respectively. The following is also recorded for each person:

a phone number, keywords that identify his/her key research topics and the

institution he/she works for. A person can be an author of one article and a

reviewer of another peer-reviewed article at the same time.

The database will store the following information concerning scientific

articles. Each scientific article is uniquely identified by a DOI (a document

object identifier), and the system also stores the title and the authors of the

article. In the case of multiple authors, the position of each author is stored.

Science Connect distinguishes between two types of scientific articles: a

scientific article is either a peer-reviewed paper or a technical report. The

system stores the citation count of peer-reviewed papers and who reviewed

the paper. A technical report is always published by a single research

institution, while research institutions can of course publish multiple

technical reports.

The system keeps track of the different scientific publishers (e.g., IEEE,

Elsevier). A publisher is identified by name. A publisher can publish multiple

journals to which research institutions can subscribe. These journals are given

a name by the publisher (e.g., Decision Support Systems). Publishers can

have journals with the same name as other publishers; e.g., it is possible that

both IEEE and Elsevier have a journal with the title Management Science.

The impact factor, which measures the scientific impact of a journal, is also


Finally, only peer-reviewed papers are published in journals, not technical


Make an EER model and UML class diagram to model the data

requirements. Comment on the limitations of both models.

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