Data Inputter

About Thomson Reuters Evidence

Thomson Reuters is the leading source of intelligent information for the world's businesses and professionals.  Intelligent information is a unique synthesis of human intelligence, industry expertise and innovative technology that provides decision makers with the knowledge to act, enabling them to make better decisions faster.

The Science Division of Thomson Reuters creates customised services for the purpose of evaluating the performance of global research institutions and universities.

A core part of this service requires the maintenance of an authoritative database of academic publications – the Web of Science® (WoS).  Maintenance includes the correct and consistent identification of the author affiliations (i.e. the variant addresses of the employing organisation that are used by the author when publishing) of those publications.

We have for a number of years maintained a registry of the institutional affiliations and name variants.

For 2012 we aim to improve WoS address information by extending the coverage for continental European institutions.

Primary responsibilities of the role:

• Use the internet and Thomson Reuters resources to research institutions.
• Develop a keen understanding of the constituent parts of individual institutions (primarily universities) to enable analysis and comparison of institution affiliations and addresses.
• Carry out testing and quality control to ensure consistent address unification.
• Provide feedback for process improvement and data corrections.

Responsibility for results:

• Timely delivery of unification in support of a global project.
• Thoroughness of institutional unification.
• Low percentage of unification corrections or reruns.

Required skills:

• Good computing skills, and some experience in the use of Access, Excel and/or web tools.
• Experience in researching and editing data.
• Strong attention to detail and the ability to validate and verify your own work.
• Some knowledge of European languages (other than English).
• Knowledge of and experience with Web of Science® would be a plus, but is not essential.
• Educational level:  Postgraduate, with some research experience.