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Data Governance at the National Information Processing Institute in Poland

10 pagesPublished: August 9, 2023

Abstract

The collection and exchange of data in distributed systems are challenges for many institutions that deliver IT systems. These challenges are rooted not only in the technical layer, but above all, in proper management and communication. In Poland, data collection on science and higher education is conducted in large centralised repositories that are part of the POL-on ecosystem. These systems were developed during different periods by various teams and subcontractors. This has created a set of uniformed expectations regarding the integrity and interoperability of information processed by them. Good practices related to the data governance framework were used for the proper implementation of this goal. This article presents our conclusions from experience in the implementation of this approach at the National Information Processing Institute (OPI PIB) in Poland. It describes not only the outcomes and final results, but also the benefits of developing similar solutions in science and higher education.

Keyphrases: cris, dama, data, data catalog, data governance, dga, governance, higher education, interoperability, opi, science

In: Jean-François Desnos and Martín López Nores (editors). Proceedings of European University Information Systems Congress 2023, vol 95, pages 79-88.

BibTeX entry
@inproceedings{EUNIS2023:Data_Governance_at_National,
  author    = {Maria Bylina and Emil Podwysocki and Marek Michajłowicz},
  title     = {Data Governance at the National Information Processing Institute in Poland},
  booktitle = {Proceedings of European University Information Systems Congress 2023},
  editor    = {Jean-François Desnos and Martín López Nores},
  series    = {EPiC Series in Computing},
  volume    = {95},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/HmdT},
  doi       = {10.29007/1rp9},
  pages     = {79-88},
  year      = {2023}}
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