Public procurement notice: Contract Award Notice
Published: 2021-12-03
Buyer: Aarhus Universitet
Country: DK
Contract type: Services
Procedure: Negotiated without a prior call for competition
CPV classification: 72000000
Estimated value: 341000 EUR
Award criteria: Lowest price

Technical requirements: Υπηρεσίες τεχνολογίας των πληροφοριών: παροχή συμβουλών, ανάπτυξη λογισμικού, Διαδίκτυο και υποστήριξη
The Research Support Office at Aarhus University wishes to purchase access to a bibliometric analysis tool for the production of bibliometric analyzes at individual, group, institution and subject level. The bibliometric analyzes are used in connection with the evaluation and implementation of data for funding applications. The contract with the current supplier of the tool used today expires on 31 December 2021.
The bibliometric analyzes must be based on both absolute and normalized publication and citation data, and it must also be possible to analyze both subject, individual, group or institutional level as well as user-generated entities. The Research Support Office supports and covers all faculties and subject areas at Aarhus University, which is why it is a requirement that the data stems from a global citation database. The tool must be accessed by all employees at AU. On topic, individual, group and institution level, the tool should be able to:
• Calculate research impact based on parameters such as normalized citation impact, H-Index, number of citations, average grade number of citations, top citation and top journal percentiles, level of co-operation with international researchers and collaboration with industrial partners.
• The ability to generate an overview of existing and potential partners from other academic institutions, companies, public-sector bodies or countries. It must be possible to define subject areas
It is a requirement that the tool is fully compatible with Aarhus University's research registration system, PURE. Several of the bibliometric analyzes produced at Aarhus University and Aarhus University Hospital are based on units defined in PURE. The units in question must therefore be transferred to the tool for further analysis. Furthermore, it is a requirement that the entities can also be generated directly in the tool without prior transfer from the underlying citation database or from PURE. It is a requirement that there is no upper limit on the number of user-generated entities in the analysis tool. To ensure the greatest possible precision and update of the data sets, it is important to have a high update frequency of between 1 and maximum 7 Days of data transfer from the underlying citation database to the analysis tool. In order to be able to estimate the impact of the individual researcher in the best possible way, it is a requirement that the automatic, citation-generated clusters (citation-topics) from the analysis tool are integrated into the underlying citation database. Patent quotation data must be an integrated part of the analysis tool. On the basis of the minimum requirements outlined above, the Research Support Office wishes to extend the contract with SciVal, which is the system used by the university today and provided by Elsevier. The Research Support Office has examined the market for other providers, and it has not been possible to find providers of a product that will be able to meet the minimum requirements at this point.
In case of complaints about tenders or decisions, e.g. award of contracts covered by Section II or III in the Danish Public Procurement Act must be submitted to the Complaints Board for Public Procurement (Klagenævnet for udbud) within 45 calendar days from the day after the contractor published a notice in the Official Journal on the conclusion of a contract. At the latest concurrently with submission of an appeal to the Complaints Board for Public Procurement, the complainant must inform the contracting authority of the alleged infringement, and whether the appeal is to be referred to the board.


Winner: Elsevier
Award value: 341000
Number of bids: 1