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 operations and adjust to work more efficiently. A strong data-driven culture promotes constant questioning and learning by using newfound insights while planning for the future.
Research information refers to information about KTH's research and the context in which it is carried out. This can include information about researchers and their organizational affiliation, subject matter, and assignments. It may also include intellectual outputs such as publications and presentations, as well as information about projects, project members, funding, and collaborative partners. At KTH, research information includes organizational structure such as department, research group, platform, and center formation. Research data, underlying work materials, and knowledge are not included in research information. You can learn more about managing research data on our research data pages .
Data analysis includes the process of collecting, analyzing, and visualizing data to draw conclusions. These analyses enable decision-making, process improvement, and increased value and engagement. Data analysis ranges from basic descriptive analysis that describes what has happened to diagnostic analysis to find causes. The level of complexity and value creation increases in predictive analysis, which is used to understand what will happen, and prescriptive analysis, which describes how we should act. Data analysis provides great opportunities for new insights.
Learn more about analysis services and how to use them for your specific needs.
Many of our analyses and services are based on bibliometric data. Bibliometrics is the statistical analysis of publication data and is used as an integrated part of KTH's quality work. Bibliometric data also provides input to the various rankings performed at the international level and is thus an important instrument for KTH's relevance in the world. Learn more about bibliometrics .
Data-driven monitoring and analysis of KTH reaserch (DAUF) is an ongoing collaboration between the library and the IT department. The purpose of the initiative is to facilitate the monitoring and understanding of KTH's research. The services presented here are developed in dialogue with the Vice President for Research, heads of departments, and researchers at KTH. We are developing services that help school management, researchers, and support staff to better understand KTH's research.
We provide both personal consultations, participate in meetings, and conduct workshops and webinars. You can book personal consultations focusing on data analysis, bibliometrics, or guidance on our services. It is also possible to ask questions about the data sources we work with and get access to them. Consultations can be provided through a personal physical meeting, online meeting, or via email. Send an email to email@example.com with your question and we will schedule a suitable time with you.
You are also welcome to provide feedback and suggestions for improvement to us. Two to three times a year, we have demo meetings where you as a user can see the latest developments and provide input and feedback on our services. If you would like to receive an invitation, send an email to firstname.lastname@example.org and we will add you to the list.