Data-driven analysis of research
Being a data-driven organization means using data to make fact-based and proactive decisions. KTH can gain better knowledge of how the organization is meeting its goals, and quickly identify deviations in its operations, thereby allowing it to make adjustments to work more efficiently. A strong data-driven culture promotes constant questioning and learning by using newfound insights while planning for the future.
Data analysis
Data analysis involves the process of collecting, analysing and visualizing data to support conclusions. Analysis enables decisions to be made, processes to be improved, and benefits and engagement to be increased. Data analysis ranges from basic descriptive analysis to describe what happened to diagnostic analysis to find causes. The degree of complexity and value creation increases in the predictive analysis that is used to understand what will happen, to the prescriptive one that describes how we should act. Data analysis offers great opportunities for new insights.
Data-driven analysis and follow-up of KTH's research (DAUF)
Data-driven analysis and follow-up of KTH's research (DAUF) is an ongoing collaborative project between the library and the IT department. The purpose of the initiative is to facilitate the follow-up and understanding of KTH's research. The services presented are developed in dialog with the Vice President for Research, heads of department and researchers at KTH. We develop services that help school management, researchers and operational support to better understand KTH's research.
One example is Annual Bibliometric Monitoring (ABM), which contains information on publication volume, bibliometric indicators, co-publishing, open access and mapping to the UN's global sustainability goals for the entire KTH and at school and department level. Logged-in users can also see results for their own publications. Read more about ABM or go directly to ABM .
As a complement to ABM, offering more frequent data updates and greater flexibility in selection, filtering, and depth of analysis, there is also the web tool KTH Research Information , requiring login with KTH credentials.
More information about the DAUF project, its services, sources, and data flows can be found on the project's portal page .
Most of our services are built on bibliometric data. Learn more about bibliometrics at KTH. For questions about DAUF or bibliometrics, please email the library.
We also welcome your feedback and suggestions. Two to three times a year, we host demo meetings where users can see the latest developments and provide input on our services. If you'd like to receive an invitation, send an email to the library, and we'll add you to the list.
