Sciencecloud

SCIENCECLOUD

System supporting research evaluation and reporting to PBN / SEDN

What is Sciencecloud?

PCG Academia brings together a team of experts with exceptional, country-leading experience in bibliometrics, scientific data analysis, and higher education evaluation. They are supported by analysts and big data specialists who, on a daily basis, help Polish universities understand and effectively manage evaluation outcomes.

This experience has resulted in two complementary products:

  • Expert Support — professional consulting services for research offices, heads of disciplines, and university leadership. This includes interpretation of regulations, evaluation risk analysis, and strategy optimization. This is knowledge and guidance that no IT system can replace.
  • Sciencecloud — a system developed by the same team of experts, transforming this knowledge into automation. It provides reporting to PBN and SEDN, ongoing risk monitoring, and evaluation outcome simulations — operating throughout the entire evaluation period, not just at its final stage.

Together, these two products form the most comprehensive approach currently available in Poland for managing the evaluation of scientific activity.

Key benefits

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Full automation of reporting to government systems, including PBN, POL-on, and SEDN

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Ongoing monitoring of evaluation risks and penalties throughout the entire evaluation period — not just at the last minute

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Optimization of evaluation outcomes at the level of individual disciplines

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Elimination of manual and duplicate data entry

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Guaranteed compliance with current regulations — the system is continuously updated by the PCG Academia expert team

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Access to expert advisory support from a team with unique, nationwide experience in research evaluation

Expert Support and Key System Functionalities

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Evaluation strategy consulting

analysis of the university’s current position, recommendations on discipline selection, staff assignment, and score optimization — all based on the team’s unique domain expertise

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Regulatory interpretation and risk management

ongoing advisory on legislative changes, identification of sanction risks, and recommendations for corrective actions — before they become real issues

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Evaluation outcome optimization

expert decision support at the discipline and unit levels — guidance on who should submit what and when to maximize evaluation results

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Bibliometric analysis and research output assessment

in-depth analysis of the university’s scientific output, including ministerial lists, citation indicators, and publishing trends — forming the basis for informed planning

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Training and knowledge transfer

workshops and advisory sessions for research offices, heads of disciplines, and university leadership — building internal competencies in evaluation and reporting

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Automatic bi-directional integration with POL-on and PBN

fully compliant with current data schemas and continuously updated in line with legislative changes — eliminating manual data re-entry

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Alerting mechanisms

real-time detection of sanction risks, data gaps, and inconsistencies — with the ability to assign corrective tasks to specific users

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Advanced analytics and forecasting

evaluation simulations and scenario modeling with adjustable thresholds and variant testing — providing ready-to-use data for informed strategic decisions

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Scientific category forecasting

a proven calculation engine incorporating current ministerial algorithms, sanctions, and thresholds for individual disciplines

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Management reports, including IDUB and rankings

ready-made reports for university leadership, research offices, and heads of disciplines — exportable and presentation-ready

How does it fit into the university ecosystem?

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Expert advisory support available throughout the entire cooperation lifecycle — including strategic consulting, risk analysis, and recommendations for research offices and university leadership, delivered by a team with unique expertise in the Polish research evaluation system

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Full integration with DSpace — repository data automatically feeds evaluation processes, eliminating the need for spreadsheets and email-based workflows

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A central hub for managing evaluation data — a single source of truth for research output, declarations, and discipline assignments, fully aligned with the repository and CRIS systems

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A natural part of the university research ecosystem: DSpace → Sciencecloud → POL-on / PBN / SEDN

Proven solution

Expert knowledge combined with a proven system creates an approach trusted by Polish universities

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Advisory services provided by the PCG Academia expert team during the 2021–2025 evaluation cycle have been used by both public and private universities across Poland, supporting their preparation for SEDN reporting — both in terms of strategy and ongoing risk management

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Sciencecloud is used by dozens of universities across Poland — from smaller institutions to the country’s largest universities

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Adopted by top-ranked institutions, including the University of Warsaw, Jagiellonian University, and SWPS University

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A mature, proven, and operationally stable system — with a documented track record across consecutive evaluation cycles

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Developed and maintained by a team combining domain expertise with technical capabilities — delivering a level of quality not achievable by purely IT-driven solutions

Delivery and maintenance model

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Delivered in a SaaS model — access without installation and without burdening the university’s IT infrastructure

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The university always receives up-to-date and legally compliant software — without technological risk and without the need to independently track legislative changes

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PCG Academia is responsible for continuously adapting the system to:

  • changing evaluation regulations
  • updates to POL-on and PBN data schemas
  • new ministerial requirements
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The advisory support model includes cyclical activities tailored to each stage of the evaluation process:

  • consultation meetings and strategic sessions with research offices and heads of disciplines
  • analyses and reports based on the university’s actual data — not generic, but specific to its situation
  • workshops conducted on real institutional data, enabling teams to independently interpret results and make informed decisions
  • iterative progress reviews — successive rounds of analysis to track changes, verify corrective actions, and update strategies as the evaluation approaches

Next steps

👉 See how Sciencecloud and PCG Academia’s expert support enable active management of evaluation outcomes
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System presentation based on real university data — including outcome simulation and optimization scenarios

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Overview of integration with DSpace, PBN, and SEDN in the context of your university’s architecture

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Expert consultation on evaluation strategy and outcome optimization for your disciplines

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