Robert Pergl

ORCID: 0000-0003-2980-4400
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About
Contact & Profiles
Research Areas
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Model-Driven Software Engineering Techniques
  • Data Quality and Management
  • Advanced Database Systems and Queries
  • Collaboration in agile enterprises
  • Big Data and Business Intelligence
  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Information Technology Governance and Strategy
  • Software System Performance and Reliability
  • Blockchain Technology Applications and Security
  • Simulation Techniques and Applications
  • ERP Systems Implementation and Impact
  • Parallel Computing and Optimization Techniques
  • Logic, programming, and type systems
  • Astronomical Observations and Instrumentation
  • FinTech, Crowdfunding, Digital Finance
  • Genetics, Bioinformatics, and Biomedical Research
  • Petri Nets in System Modeling
  • Artificial Intelligence in Games

Czech Technical University in Prague
2015-2024

Fair Isaac Corporation (United States)
2020

Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry
2019

National Research University Higher School of Economics
2019

Czech University of Life Sciences Prague
2009-2015

The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 guiding do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability Reusability digital resources. This has likely contributed to adoption principles, because individual stakeholder communities can implement own solutions. However, it also resulted inconsistent...

10.1162/dint_r_00024 article EN Data Intelligence 2019-11-01

Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does aim to propose new development best practices, but rather provide simple recommendations encourage the adoption of existing practices. Software promote better improves reproducibility reusability research. These are designed around Open Source values, practical suggestions contribute making source code more discoverable,...

10.12688/f1000research.11407.1 preprint EN cc-by F1000Research 2017-06-13

The Data Stewardship Wizard is a tool for data management planning that focused on getting the most value out of project itself rather than fulfilling obligations. It based FAIR Stewardship, in which each data-related decision acts to optimize Findability, Accessibility, Interoperability and/or Reusability data. background this philosophy first reuser researcher themselves. encourages consulting expertise and experts, can help researchers avoid risks they did not know would encounter by...

10.5334/dsj-2019-059 article EN cc-by Data Science Journal 2019-01-01

Effective stewardship of data is a critical precursor to making FAIR. The goal this paper bring an overview current state the art management and planning solutions (DMP). We begin by arguing why important vehicle supporting adoption implementation FAIR principles, we describe background, context historical development, as well major driving forces, being research initiatives funders. Then provide leading DMP tools in form table presenting key characteristics. Next, elaborate on emerging...

10.1162/dint_a_00043 article EN Data Intelligence 2019-11-01

The FAIR principles articulate the behaviors expected from digital artifacts that are Findable, Accessible, Interoperable and Reusable by machines people. Although now widely accepted, Principles design do not explicitly consider actual implementation choices enabling behaviors. As different communities have their own, often well-established preferences priorities for data reuse, coordinating a broadly used approach remains global challenge. In an effort to accelerate broad community...

10.1162/dint_a_00038 article EN Data Intelligence 2019-11-01

Thousands of community-developed (meta)data guidelines, models, ontologies, schemas and formats have been created implemented by several thousand data repositories knowledge-bases, across all disciplines. These resources are necessary to meet government, funder publisher expectations greater transparency access preservation related research publications. This obligates researchers ensure their is FAIR, share using the appropriate standards, store in sustainable community-adopted...

10.1162/dint_a_00037 article EN Data Intelligence 2019-11-01

Powerful incentives are driving the adoption of FAIR practices among a broad cross-section stakeholders. This process must factor in numerous considerations regarding use both domain-specific and infrastructural resources. These be made for each Guiding Principles include supra-domain objectives such as maximum reuse existing resources (i.e., minimised reinvention wheel) or interoperation with data services. Despite complexity this task, it is likely that majority decisions will repeated...

10.31219/osf.io/2p85g preprint EN 2020-09-21

In this paper we present OpenPonk: a free, open-source, simple to use platform for developing tools conceptual modeling: diagramming, DSLs, and algorithms operating on the models diagrams, such as automatic layouting, model transformations, validations, etc.

10.1145/2991041.2991055 article EN 2016-08-23

OntoUML is an ontologically well-founded conceptual modelling language that distinguishes various types of classifiers and relations providing precise meaning to the modelled entities. Efforts arise incorporate into Model-Driven Development approach as a for PIM application data. In prequel paper, we have introduced outlined our transformation PSM relational database. this discuss details variants Rigid Sortal OntoUML.

10.15439/2016f250 article EN cc-by Annals of Computer Science and Information Systems 2016-10-02

Business Object Relation Modelling (BORM) is a method for systems analysis and design that utilises an object oriented paradigm in combination with business process modelling. BORM’s Diagram (ORD) successfully used practice behaviour (OBA). We, however, identified several flaws the diagram’s semantics. These occur mostly due to inconsistent incomplete formal specification of ORD behaviour. In this paper, we try amend gap by introducing so called input output conditions, which consider be...

10.5220/0004897603150322 article EN cc-by-nc-nd 2014-01-01
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