2022-10-26

Background & DAUF-project

The DAUF project - “Datadriven Analys och Uppföljning av KTHs Forskning”

  • Started with project to develop/refresh the the Annual bibliometric monitoring (ABM/ÅBU)
  • Collaboration between KTH Library and ITA
    Agile, sprint-based
  • Presentation of KTH research output
    Started from bibliometric data
  • Collation of relevant data sources at KTH
    Publications, staff/HR, projects …
  • Servers and data in object storage (s3)

Apps and services

  • Annual bibliometric monitoring (ABM/ÅBU)
  • Data curation tool for DiVA publication data
  • Publication analysis (++)
  • R-packages to interact with KTH-relevant data (kthcorpus, kthapi, ktheme etc, found at Github)
  • Some APIs

The analysis app

Allows for analysis of (some dimensions) of research output

Under active development and deployed on local servers, at: https://analysis.sys.kth.se/bibliometrics/app/publ_analysis

  • Organization view (used in ABM) and staff-based view
  • Ad-hoc groups or staff categories
  • “Live” data
  • Co-publication and bibliometric performance
  • Filtering
  • Project data (currently from CASE)
    • Added yesterday!

Example

Selection view

Example

Co-publishing - organizations and countries

Example

Project view

Demo of TECoSA

TECoSA used as example, based on 9 PIs
Centre running since 2020.

Some summary stats:

  • 619 publications 2010-2021

  • 96 publications 2020-2021 (e.g from the TECoSA-period)

  • 39 projecs in CASE

  • 13 projects 2020-2021 (seems to be more in CASE, but some with missing data on duration)

  • Info on funders and SDG-goals on projects

  • Picture of collaborations, through co-publication

To-do and limitations

To-do:

  • Adding filters for projects
  • Adding subject categorisation (publications)
  • More journal info

Limitations:

  • Only based on KTH researchers
  • Limitations in project data at KTH
    • Only PIs
    • Limited economic data, and uneven quality among schools
    • System not originally created for project management in a broader sense
  • Co-publication data and bibliometrics currently based on Web of Science

Take-away

  • Can catch centres and research groups, by ad-hoc selection and saved groups
  • Unified view of publications, staff and project data (to some extent)
  • Can help in reporting and monitoring(?)
  • Can be used to better understand project groups

Try out and give us feedback!
Are there specific key data/KPIs that should be added?