The Impact of Data Quality and the Implementation of Data Governance on the Usability of the Ludzie Nauki CRIS System: Lessons Learned

9 pages•Published: November 6, 2025

Maria Bylina, Emil Podwysocki and Marek Michajłowicz

Abstract

This article discusses the implementation and challenges of the Ludzie Nauki system, which promotes Polish science and manages research data. It highlights the legal and technical complexities faced during the system’s development, particularly in compliance with Poland’s Higher Education and Science Act and the GDPR. The system's integration with various data sources and its role in ensuring the accuracy and accessibility of scientific data are emphasized. Key issues, such as user dissatisfaction with the inability to edit published information, are also addressed alongside planned improvements to enhance usability, including AI-driven semantic search and personalized researcher profiles. Moreover, this article explores the significance of data governance in research information systems, discussing its role in improving data quality, integration, and the system's overall effectiveness. The experience we have gained from implementing the system provides insights into project management methodologies, including the use of the SCRUM, KANBAN, and waterfall approaches. This article concludes by emphasizing the need for continuous development and the provision of services based on the data collected in Ludzie Nauki, to maximize the potential of the platform and to foster innovation in the scientific community.

Keyphrases: cris, data governance, ludzie nauki

In: Laurence Desnos, Raimund Vogl, Lazaros Merakos, Carmen Diaz, Janina Mincer-Daszkiewicz and Stuart Mclellan (editors). Proceedings of EUNIS 2025 annual congress in Belfast, vol 107, pages 247-255.

Links:	https://easychair.org/publications/paper/Svlqp
	https://doi.org/10.29007/zq3r

BibTeX entry

@inproceedings{EUNIS2025:Impact_Data_Quality_Implementation,
  author    = {Maria Bylina and Emil Podwysocki and Marek Michajłowicz},
  title     = {The Impact of Data Quality and the Implementation of Data Governance on the Usability of the Ludzie Nauki CRIS System: Lessons Learned},
  booktitle = {Proceedings of EUNIS 2025 annual congress in Belfast},
  editor    = {Laurence Desnos and Raimund Vogl and Lazaros Merakos and Carmen Diaz and Janina Mincer-Daszkiewicz and Stuart Mclellan},
  series    = {EPiC Series in Computing},
  volume    = {107},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/Svlqp},
  doi       = {10.29007/zq3r},
  pages     = {247-255},
  year      = {2025}}

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