Research Evaluation, Assessment & Scientific Data Management in Social Sciences and Beyond

Author:
Dr. Saeed Ul Hassan, Manchester Met. University, United Kingdom
Year:
2022

This course seeks to cover the following areas to train PhD students to enhance their skills towards a better understanding of research quality, bibliometric data management and evidence-based policy formulation tools in the fields related to Social Sciences Politics and other. The course is divided into four parts to be delivered over 8 teaching hours.

• First part of the course will provide a detailed overview of different scholarly databases, including open-source search engines and commercially available systems. This part will help improve the students' skills in searching relevant literature for their research problem;

• The second part of the course will discuss evaluation metrics and their implications across different fields, ranging from Engineering, Computing, Social Science, Politics and Business Administration;

• The third part of the course will provide more recently adopted alternative data sources and their implications to measure the societal impact of scholarly research under the umbrella of "Alt-metrics"; and

• Finally, the course will also provide hands-on software tool training for constructing and visualizing bibliometric networks. These networks may, for instance, include journals, researchers, or individual publications, and they can be constructed based on citation, bibliographic coupling, co-citation, or co-authorship relation and visualize co-occurrence networks of emerging research themes extracted from a body of scientific literature in fields of Politics and Administration.