Información de la Revista

ACM Journal of Data and Information Quality (JDIQ)

Por favor Iniciar para ver el sitio web de la revista

Factor de Impacto:
2.9
Editor:
ACM
ISSN:
1936-1955
Vistas:
21447
Seguidores:
1

Solicitud de Artículos

ACM Journal of Data and Information Quality (JDIQ) is an academic journal published by ACM. (ISSN 1936-1955, impact factor 2.9).

About ACM Journal of Data and Information Quality (JDIQ) is a multi-disciplinary journal that attracts papers ranging from theoretical research to algorithmic solutions to empirical research to experiential evaluations. Its mission is to publish high impact articles contributing to the field of data and information quality (IQ). JDIQ accepts research conducted using a wide variety of methods ranging from positivists to interpretive methods, systems building descriptions, and database theory, as well as statistical analysis, mathematical modeling, quasi experimental methods, hermeneutics, action research, and case study. JDIQ accepts diverse research methods that are customary in different research backgrounds and traditions, both quantitative and qualitative. Research papers also need to provide valuable and relevant implications for applying their findings and solutions in practice. Given the diversity of disciplines and author interests, ACM JDIQ welcomes experience papers, typically submitted by a practitioner or industrial researcher, survey papers that provide a critical assessment of the state of the art on specific IQ topics while highlighting open research challenges, and short challenge papers that describe a major research challenge to the JDIQ community. ACM JDIQ is published on a quarterly basis. It also organizes special issues as part of the journal volume offering. ACM JDIQ special issues draw together a range of contributions on a given theme, and are an important mechanism for presenting a focused collection of significant work from areas of high innovation and activity to the Data Quality community. Starting from 2019, JDIQ welcomes a new type of invited contributions, called on the horizon papers. These manuscripts are written by top researchers in the field of Data Quality. They aim to introduce emerging new topics, their challenging aspects and envisioned solutions. They can be submitted by invitation only.
Última Actualización Por Dou Sun en

Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
ACM SIGMIS DatabaseACM0095-0033
International Journal of Reliability, Quality and Safety EngineeringWorld Scientific0218-5393
ACM/IMS Journal of Data ScienceACM2831-3194
aJournal of the ACM2.5ACM0004-5411
Proceedings of the ACM on Management of DataACM2836-6573
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X

Conferencias Relacionadas

CCFCOREQUALISAbreviaciónNombre CompletoEntregaNotificaciónConferencia
ACM-BCBACM Conference on Bioinformatics, Computational Biology, and Health Informatics2026-02-202026-05-192026-06-30
bba2IWQoSIEEE/ACM International Symposium on Quality of Service2026-02-162026-04-302026-06-29
ACM REPACM Conference on Reproducibility and Replicability2025-04-072025-06-232025-07-29
aa*a1AAAIAAAI Conference on Artificial Intelligence2025-07-252025-11-032026-01-20
aa*a1SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
aa*a1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
bba1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
aa*a1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
aa*a1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
cba2ICCInternational Conference on Communications2025-10-132026-01-122026-05-24

Seguidores
Na LI (94)
Publicidad