Call for Special Issue Papers:

Architectural Frameworks and Standards for Data Science Analytics Systems

Deadline for manuscript submission is March 31, 2026

Special Issue Editors:

Prof. Dr. Manuel Mora, Autonomous University of Aguascalientes, Mexico

Prof. Dr. Jorge Marx Gómez, University of Oldenburg, Germany

Prof. Dr. Alena Buchalcevova, Prague University of Economics and Business, Czech Republic

Prof. Dr. Fen Wang, Central Washington University, USA

Data Science Analytics (DSA) Systems aim to create decision-making value by applying analytical methods from Statistics, Artificial Intelligence (including Machine Learning and Data Mining ones), and Computer Sciences disciplines to small and big datasets. These DSA system deployments require relevant investments in high-technical human and IT resources, and consequently, the selection of the right-sized implementation is a hard business engineering and managerial decision. To cope with this challenge, several architectural frameworks and standards have been proposed, such as Lambda Big Data Architecture, Berkeley Data Analysis Stack, the NIST Big Data Reference Architecture, and recently the standard ISO/IEC 20547-3:2020 Big Data Reference Architecture standard. Furthermore, additional ISO/IEC standards like the ISO/IEC 42010:2022 Software, systems and enterprise — Architecture description, the ISO/IEC 24668:2022 Information technology — Artificial intelligence — Process management framework for big data analytics, the ISO/IEC 8183:2023 Information technology — Artificial intelligence — Data life cycle framework, and the ISO/IEC 42001:2023 Information technology — Artificial intelligence — Management system – as well as IT professional business architectural frameworks such as IT4IT, Open Agile Architecture, TOGAF, and Lean IT complement the required technical and managerial knowledge to face the challenges of cost-efficient and effective architectures for DSA systems. Parallelly, IT Service Management (ITSM) frameworks and standards – ITIL, Lean IT, VeriSM, USM, IT4IT, and ISO/IEC 20000 have provided during the last two decades a set of disciplined and/or agile processes and practices to deliver right-sized IT services, and consequently the provision of Data Science Analytics as an IT service (DSAaaITS) has now emerged. Nowadays, from a dual DSA-ITSM perspective, delivering right-sized and cost-effective DSAaaITS requires the explicit design and implementation of a specific DSAaaITS architecture.

However, despite relevant academic and practitioner literature on architectural frameworks and standards for DSAaaITS is available, it is fragmented, dispersed, and uses a non-standard architectural terminology. Thus, designers and implementers of DSAaaITS face the lack of integrated theoretically organized insights and practical guidelines on the main architectural frameworks and standards for DSAaaITS.

A list of topics of interest (but not limited to) is as follows:

Conceptual studies on Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Systematic reviews on Architectural Frameworks and Standards for DSA systems regarding the role played Systems Architecture and IT Service Design theories.
Comparative studies on Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Design studies on new potential Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Simulation comparative studies on Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Statistical survey studies on the utilization of Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Single case studies on the utilization of Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Multiple case studies on the utilization of Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.
Experimental studies on the utilization of Architectural Frameworks and Standards for DSA systems supported by Systems Architecture and IT Service Design theories.

Important information

Please follow a sample of a manuscript ready for submission and Submission Guidelines. In this forthcoming special issue, we would like to give space to diverse empirical (quantitative and qualitative research, case studies), theoretical (review articles) and opinion articles (reflections supported by examples, views from practice.

Empirical articles must include a literature review, methodology, and putting into a theoretical context.
Review articles must include a justification of how the review differs from previously published reviews based on a short literature search of review articles.
Opinion articles must be theoretically or empirically grounded.

Notes for prospective authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers must be submitted online via this submitting page. When you are submitting a manuscript, please select the “Special issue” option in “Section”. If you have any suggestions or questions regarding the subject matter, please contact the Special Issue Editor (Manuel Mora, jose.mora()edu.uaa.mx) or the Editor-in-Chief (Zdenek Smutny, zdenek.smutny()vse.cz).

Important dates

We accept manuscripts continuously from June 2025. The deadline for manuscript submissions is March 31, 2026. Accepted manuscripts will be immediately published in Forthcoming articles.
Initial editorial decision: No later than one month after submission.
Special issue publication: Early 2027 (volume 16, issue 1).

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