ACM Journal of Data and Information Quality

Scope & Guideline

Championing Excellence in Data Analytics and Management

Introduction

Welcome to your portal for understanding ACM Journal of Data and Information Quality, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1936-1955
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2009 to 2024
AbbreviationACM J DATA INF QUAL / ACM J. Data Inf. Qual.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

The ACM Journal of Data and Information Quality focuses on advancing the understanding and methodologies related to data quality, information management, and the ethical implications of data usage. The journal serves as a platform for researchers and practitioners to share innovative approaches and solutions that address the multifaceted challenges of ensuring high-quality data in various domains.
  1. Data Quality Assessment and Improvement:
    Research on methodologies and frameworks for assessing and enhancing data quality, including techniques for data cleaning, validation, and completeness.
  2. Human-in-the-Loop Approaches:
    Exploration of interactive systems where human expertise is integrated into data curation processes, improving the quality of data through user involvement.
  3. Machine Learning and AI for Data Quality:
    Investigating the use of machine learning algorithms and artificial intelligence to automate and improve data quality tasks, such as anomaly detection and data cleansing.
  4. Ethics and Governance in Data Management:
    Studies focusing on the ethical considerations and governance frameworks necessary for responsible data usage, including fairness, transparency, and accountability.
  5. Multimodal Data Integration:
    Research on combining different types of data (text, images, time series) to enhance data quality and facilitate comprehensive analysis in various applications.
The ACM Journal of Data and Information Quality is currently witnessing several emerging themes that indicate a shift in focus toward cutting-edge methodologies and interdisciplinary approaches. These trends are shaping the future of data quality research and practice.
  1. AI-Driven Data Quality Solutions:
    A notable increase in research papers exploring the integration of artificial intelligence and machine learning in data quality tasks, signaling a trend towards automation and intelligent systems.
  2. Focus on Ethical Data Practices:
    Emerging themes around ethics and governance in data usage reflect a heightened awareness of the implications of data management, particularly concerning fairness and accountability.
  3. Human-Centric Data Curation:
    Research emphasizing human involvement in data processes is gaining traction, showcasing the importance of collaborative approaches in enhancing data quality.
  4. Contextual and Multimodal Data Quality:
    There is a growing interest in assessing data quality across various contexts and modalities, highlighting the need for comprehensive frameworks that address the complexities of modern data ecosystems.
  5. Application of Data Quality in Emerging Technologies:
    Increased publications relating to data quality in fields like IoT, blockchain, and social media analytics suggest a trend toward exploring data quality challenges in new technological landscapes.

Declining or Waning

While the journal has consistently emphasized several core areas, certain themes appear to be diminishing in prominence. This shift may reflect changing priorities in the field of data quality and the evolving landscape of data science.
  1. Traditional Data Cleaning Techniques:
    There seems to be a decline in papers focusing solely on traditional data cleaning techniques without integrating newer technologies or methodologies, indicating a shift towards more innovative solutions.
  2. Static Data Quality Frameworks:
    Research centered on static models for data quality assessment is becoming less frequent, as there is a growing preference for dynamic and adaptive frameworks that can respond to real-time data changes.
  3. Basic Data Management Practices:
    Papers discussing foundational data management practices are waning, likely due to a focus on more complex and integrated approaches that incorporate advanced technologies like AI and machine learning.

Similar Journals

Jordanian Journal of Computers and Information Technology

Empowering Innovation in Computing and Information Technology
Publisher: Princess Sumaya Univ & SRSFISSN: 2413-9351Frequency: 4 issues/year

Jordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.

Journal of Big Data

Exploring the Frontiers of Data-Driven Solutions
Publisher: SPRINGERNATUREISSN: Frequency: 1 issue/year

Journal of Big Data, published by SPRINGERNATURE, is a leading academic journal dedicated to advancing the understanding and application of big data technologies and methodologies across various domains. Since its inception in 2014, this Open Access journal has gained recognition for its rigorous peer-reviewed research, boasting impressive rankings in multiple categories in Scopus, including Q1 in Computer Networks and Communications and Q1 in Information Systems. With its impactful contributions, the journal is positioned at the forefront of scholarly work on big data, addressing critical topics such as data analytics, storage, visualization, and applied data science. Its global reach and commitment to disseminating knowledge ensure that researchers, professionals, and students have equitable access to groundbreaking findings that empower advancements in technology and information systems. The Journal of Big Data continues to foster collaboration and inspire new research avenues leading to tangible impacts in the field.

International Journal of Data Science and Analytics

Pioneering Research for a Data-Driven World
Publisher: SPRINGERNATUREISSN: 2364-415XFrequency: 4 issues/year

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

KNOWLEDGE AND INFORMATION SYSTEMS

Transforming Ideas into Impactful Solutions
Publisher: SPRINGER LONDON LTDISSN: 0219-1377Frequency: 12 issues/year

KNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.

International Journal of Accounting Information Systems

Exploring the Future of Accounting in a Digital World
Publisher: ELSEVIERISSN: 1467-0895Frequency: 4 issues/year

International Journal of Accounting Information Systems, published by Elsevier, is a premier academic platform dedicated to advancing scholarship in the intersecting fields of accounting, finance, and information systems. With a robust impact factor reflective of its standing, this journal has maintained a Q1 ranking across multiple categories as of 2023, including Accounting, Finance, and Management Information Systems. By disseminating high-quality research, the journal serves as an essential resource for academics, practitioners, and students who seek to deepen their understanding of innovative accounting practices and information system technologies. Established in 2000, the journal consistently showcases cutting-edge research and case studies that resonate with contemporary challenges in the business environment. Subscribers can benefit from a wealth of knowledge that informs both theory and practice, furthering the development of effective accounting information systems and strategic management decisions.

Data Intelligence

Transforming Research into Impactful Applications
Publisher: MIT PRESSISSN: Frequency: 4 issues/year

Data Intelligence, published by MIT PRESS, is an influential open-access journal dedicated to advancing knowledge within the intersecting fields of Artificial Intelligence, Computer Science Applications, and Information Systems. Since its inception in 2019, it has rapidly established itself as a leading academic platform, achieving impressive rankings—including Q2 in its principal categories for 2023—demonstrating its impact and relevance in these dynamic fields. With an E-ISSN of 2641-435X, Data Intelligence aims to bridge theoretical research and practical applications, providing a venue for scholars and practitioners to disseminate innovative research and ideas. The journal's commitment to open access ensures that cutting-edge research is accessible to a broad audience, fostering collaboration and knowledge sharing among the global community of researchers, professionals, and students. Located in Cambridge, MA, Data Intelligence continues to pave the way for transformative insights in the realm of data-driven technologies through its rigorous peer-reviewed content and a wide array of interdisciplinary perspectives.

International Journal of Web Information Systems

Pioneering research for the evolving web landscape.
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 1744-0084Frequency: 4 issues/year

The International Journal of Web Information Systems is a distinguished publication dedicated to advancing the field of web information systems, offering a platform for high-quality research and innovative practices. Published by EMERALD GROUP PUBLISHING LTD in the United Kingdom, this journal has established itself as a vital resource for researchers, practitioners, and academics from various disciplines, particularly in Computer Networks and Communications and Information Systems, as evidenced by its ranking in the 2023 quartile assessments (Q3) and Scopus rankings. With an H-index reflecting its impact within the academic community and a publication window spanning from 2005 to 2024, the journal is committed to fostering scholarly exchange and collaboration. While it currently does not have open access options, it provides valuable insights and breakthroughs that are essential for professionals and students navigating the ever-evolving digital landscape.

DATA & KNOWLEDGE ENGINEERING

Advancing the Frontiers of Data Management
Publisher: ELSEVIERISSN: 0169-023XFrequency: 6 issues/year

Data & Knowledge Engineering is a prestigious, peer-reviewed journal dedicated to the fields of data management, information systems, and knowledge engineering. Published by Elsevier in the Netherlands, this journal serves as a critical resource for researchers, professionals, and students alike, offering a platform for high-quality, original research and innovative approaches in the realm of data-driven technologies and methodologies. With a considerable impact factor and classified in the Q2 quartile for Information Systems and Management, it ranks 47th out of 148 journals in its category, placing it in the esteemed 68th percentile according to Scopus metrics. Data & Knowledge Engineering covers a wide array of topics including database systems, data mining, and knowledge representation, ensuring that it remains at the forefront of advancing understanding and application in these dynamic fields. Engage with compelling articles and significant findings published since its inception in 1985, as the journal continues to shape the future of data-centric research up to 2024 and beyond.

Acta Informatica Pragensia

Advancing Insights: Where Computer Science Meets Information Systems.
Publisher: UNIV ECONOMICS, PRAGUEISSN: Frequency: 2 issues/year

Acta Informatica Pragensia is a prominent open access journal published by UNIV ECONOMICS, PRAGUE, which has been dedicated to advancing the fields of Computer Science Applications, Information Systems, Library and Information Sciences, and Management Information Systems since its inception in 2012. Situated in the beautiful Czech Republic, this journal aims to foster academic dialogue and disseminate high-quality research across these interdisciplinary domains. With an H-index indicating its growing impact, Acta Informatica Pragensia offers authors the opportunity to publish their findings in a Q4 ranked journal within significant categories according to the 2023 metrics, including a notable Q3 in Library and Information Sciences. Its placement in the Scopus ranks also showcases its relevance in the field, including a solid position in the 58th percentile for Library and Information Sciences. The journal's open access model ensures that research is widely available, empowering students, researchers, and professionals to engage with the latest innovations and trends. Submissions from diverse backgrounds are welcomed, making it an essential resource for those seeking to contribute to the evolution of information technology and systems.

Information

Cultivating a community of information pioneers.
Publisher: MDPIISSN: Frequency: 12 issues/year

Information is a distinguished open-access journal published by MDPI since 2010, dedicated to advancing the field of Information Systems. With its E-ISSN 2078-2489, the journal serves as a crucial platform for researchers, professionals, and students to disseminate and access innovative research and methodologies in the domain of information science, data management, and technology. Based in Basel, Switzerland, the journal has established a commendable reputation in the academic community, currently holding a Q2 ranking in the prestigious Scopus category of Information Systems, and occupies the 74th percentile among its peers. The breadth of the journal's objectives is to promote and facilitate the open exchange of ideas, research findings, and emerging trends, fostering collaboration and knowledge growth in a rapidly evolving digital landscape. With an unwavering commitment to high-quality scholarship and accessible knowledge, Information plays an essential role in shaping the future of the information sciences.