Focus And Scope

 

 
 
Aims, Focus & Scope

Focus and Scope

Researcher Academy Innovation Data Analysis (RAIDA)

A multidisciplinary journal advancing data analysis, research methodology, computational inquiry, and data-driven innovation.

RAIDA Cover

Journal Positioning

Researcher Academy Innovation Data Analysis (RAIDA) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality scholarly work in data analysis, research methodology, computational methods, data-driven innovation, and applied analytics. RAIDA provides an academic platform for rigorous empirical, methodological, theoretical, and applied research that advances knowledge through robust data practices, transparent research design, reproducible analysis, and innovative analytical approaches.

RAIDA welcomes multidisciplinary studies when data analysis, methodological contribution, analytical innovation, or evidence-based decision-making is central to the manuscript. The journal prioritizes manuscripts with clear research questions, strong theoretical or practical relevance, sound methodology, transparent data procedures, ethical compliance, and a demonstrable contribution to knowledge, policy, practice, technology, or society.

Aims of the Journal

RAIDA aims to contribute to the development of high-quality research by promoting methodological rigor, responsible data use, reproducible analysis, and innovation in data-based inquiry. The journal seeks to publish works that not only apply data analysis tools, but also demonstrate analytical originality, methodological soundness, and scholarly relevance.

  • To advance research in data analysis, data science, statistics, computational methods, and research methodology.
  • To promote rigorous, transparent, ethical, and reproducible research practices.
  • To support data-driven innovation across scientific, social, educational, economic, health, engineering, and technological domains.
  • To facilitate interdisciplinary exchange between researchers, practitioners, educators, analysts, and policy stakeholders.
  • To encourage young researchers and academic authors to produce publication-quality work that meets international scholarly standards.

Core Scope Areas

1. Data Analysis and Statistical Methods

Quantitative analysis, qualitative data analysis, mixed methods, computational statistics, multivariate analysis, econometrics, experimental design, survey analysis, inferential statistics, Bayesian methods, and robust statistical modeling.

2. Data Science, AI, and Machine Learning

Machine learning, artificial intelligence, predictive analytics, classification, clustering, deep learning applications, natural language processing, sentiment analysis, algorithm development, model evaluation, and explainable AI.

3. Research Methodology and Reproducibility

Research design, methodological innovation, instrument development, validation studies, sampling strategies, measurement models, reproducible workflows, open science practices, research ethics, and data transparency.

4. Big Data and Computational Analytics

Big data analytics, data mining, real-time analytics, sensor data, cloud-based analytics, high-dimensional data, text mining, network analysis, spatial analysis, time-series analysis, and scalable computational workflows.

5. Data Visualization and Decision Support

Data visualization, dashboard design, decision support systems, business intelligence, evidence-based decision-making, risk analytics, policy analytics, performance measurement, and interpretive analytical frameworks.

6. Data Ethics, Governance, and Privacy

Data ethics, responsible AI, privacy protection, bias detection, fairness, research integrity, data governance, cybersecurity analytics, ethical data collection, and responsible use of sensitive or human-subject data.

Multidisciplinary Application Domains

RAIDA welcomes applied research from multiple disciplines when the manuscript makes a clear contribution through data analysis, analytical methodology, evidence-based interpretation, or data-driven innovation. Relevant application domains include, but are not limited to:

Health, medicine, public health, and biomedical data
Education, learning analytics, and educational data mining
Economics, business, finance, accounting, and management
Social sciences, behavior, communication, and digital society
Engineering, industrial analytics, energy, and transportation
Environmental science, geospatial analytics, and remote sensing
Computer science, information systems, and cybersecurity analytics
Mathematics, physics, chemistry, and computational science

Types of Manuscripts Considered

Original Research Articles

Empirical, computational, methodological, or applied studies with clear research contribution and rigorous analysis.

Systematic Reviews and Meta-Analyses

Structured literature reviews, bibliometric studies, systematic reviews, scoping reviews, and meta-analyses.

Methodological Papers

Articles proposing, testing, validating, or improving research methods, analytical frameworks, instruments, or reproducible workflows.

Applied Analytics and Case Studies

High-quality applied studies that demonstrate analytical rigor, practical relevance, and transferable insights.

Manuscripts Outside the Scope

To maintain international quality and scope clarity, RAIDA generally does not consider manuscripts that:

  • Only report routine descriptive statistics without analytical depth, methodological contribution, or clear research novelty.
  • Are primarily opinion pieces, class assignments, or reports without rigorous research design and scholarly contribution.
  • Lack clear data sources, research methods, ethical compliance, or reproducible analytical procedures.
  • Contain fabricated data, unverifiable references, plagiarism, or undisclosed AI-generated content.
  • Fall outside data analysis, research methodology, analytical innovation, or evidence-based multidisciplinary research.

Quality and International Relevance

RAIDA seeks manuscripts that can contribute to international scholarly discussion. Submissions should demonstrate originality, methodological rigor, analytical transparency, ethical compliance, and relevance beyond a purely local or descriptive context.

  • Clear theoretical, methodological, empirical, or practical contribution.
  • Strong research design and appropriate analytical methods.
  • Transparent data collection, data processing, and analysis procedures.
  • Relevant, current, and internationally connected literature.
  • Ethical approval or ethical justification where human participants, sensitive data, or personal data are involved.
  • Reproducibility support through clear methods, code, data availability statements, or supplementary materials where applicable.

Target Readership and Contributors

RAIDA serves an international and multidisciplinary audience interested in data analysis, methodological innovation, applied analytics, and evidence-based research. The journal welcomes submissions from academics, researchers, postgraduate students, advanced undergraduate researchers, data scientists, educators, practitioners, and policy analysts, provided that manuscripts meet scholarly, methodological, and ethical standards.

Researchers & Academics
Scholars advancing data-based research and methodology.
Students & Early-Career Authors
Authors producing rigorous publication-quality work.
Data Analysts & Practitioners
Professionals applying analytics to real-world problems.
Educators & Policy Stakeholders
Users of evidence-based research for teaching and decision-making.

Published By

Institution: PT. Inovasi Analisis Data

Address: Jl. Mulawarman Selatan Raya I, Jabungan, Banyumanik, Semarang 50266, Indonesia

Email: editor@analysisdata.co.id

© 2026 Researcher Academy Innovation Data Analysis (RAIDA). Published by PT. Inovasi Analisis Data.