Información de la Revista

Scientific Data

Por favor Iniciar sesión para ver el sitio web de la revista
Cuenta gratuita: consulta los sitios oficiales, sigue las fechas límite y recibe recordatorios por correo.
Iniciar sesión Registrarse
Obtener estos datos por API
Las búsquedas y las listas de rankings no necesitan credenciales; el detalle completo de esta página requiere una clave de API gratuita. Consulta la guía para desarrolladores.
Factor de Impacto:
6.9
Editor:
Springer
ISSN:
2052-4463
Vistas:
22084
Seguidores:
1

Solicitud de Artículos

Scientific Data is an academic journal published by Springer. (ISSN 2052-4463, impact factor 6.9).

Aims and scope Scientific Data is an open access journal dedicated to data, publishing descriptions of research datasets and articles on research data sharing from all areas of natural sciences, medicine, engineering and social sciences. We believe that: Open research data sharing is crucial for facilitating scientific advancement. Articles describing how to source and use data can greatly facilitate data discovery and reuse, underpinning the aims of the FAIR principles, across any subject discipline. If data are scientifically valid and of potential interest to someone it should be described and made available to the research community. Manuscripts must make an original contribution but they are not assessed based on their perceived significance, importance or impact. This is especially true for Data Descriptors (see below), which do not present hypotheses or conclusions.
Última actualización por Dou Sun el

Special Issues

Special Issue on Data from Unmanned Aerial Vehicles (UAVs) Día de Entrega: 2026-09-01 This collection welcomes submissions describing datasets generated using Unmanned Aerial Vehicles (UAVs), also known as drones, across a wide range of scientific disciplines. UAVs have become indispensable tools for data acquisition in fields such as environmental monitoring, agriculture, archaeology, disaster response, urban planning, and beyond. Their ability to capture high-resolution spatial, spectral, and temporal data has opened new frontiers in research and resource management. We invite Data Descriptors that detail the collection, processing, and validation of UAV-derived datasets, including but not limited to aerial imagery, LiDAR scans, thermal and multispectral data, 3D reconstructions, and time-series observations. Submissions should clearly document the methods used for data acquisition, calibration, georeferencing, and quality control, as well as provide information on data accessibility and reuse potential. By assembling high-quality, well-documented UAV datasets, this collection aims to support reproducible research and foster cross-disciplinary collaboration. We encourage contributions from researchers, engineers, and practitioners working to advance the use of UAVs in scientific data collection and to make these valuable datasets openly available to the global research community.
Última actualización por Dou Sun el
Special Issue on Data from archaeological samples, museum collections and historical records Día de Entrega: 2026-09-08 This Collection invites submissions that describe datasets derived from the rich and diverse sources of our shared past, including: archaeological samples, museum holdings, and historical records. These datasets are vital for understanding human history, cultural evolution, and environmental change across time. We welcome Data Descriptors that detail the curation, digitisation, and validation of data from excavated materials, artefact inventories, archival documents, and other historical sources. Submissions may include datasets from archaeological fieldwork, radiocarbon dating, palaeoenvironmental reconstructions, digitized museum catalogues, historical maps, and transcribed archival records. All datasets should be openly accessible, reusable, and accompanied by rigorous documentation of their provenance, structure, and quality control processes. We encourage contributions from researchers, curators, archivists, and data stewards working to preserve and share the legacy of historical and archaeological data.
Última actualización por Dou Sun el

Las personas que vieron esto también vieron

CCFNombre CompletoFactor de ImpactoEditorISSN
BInformation Sciences6.0Elsevier0020-0255
BPattern Recognition7.6Elsevier0031-3203
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
Applied Soft Computing6.6Elsevier1568-4946

Revistas Relacionadas

CCFNombre CompletoFactor de ImpactoEditorISSN
Journal of Scientific Computing3.3Springer0885-7474
Scientific and Technical Information Processing0.4Springer0147-6882
Journal of Big Data6.4Springer2196-1115
Computing2.8Springer0010-485X
The Scientific World JournalHindawi1537-744X
Journal of Advanced Manufacturing SystemsWorld Scientific0219-6867
International Journal on Artificial Intelligence Tools1.0World Scientific0218-2130
Journal of Circuits, Systems and Computers0.900World Scientific0218-1266
International Journal of Pattern Recognition & Artificial IntelligenceWorld Scientific0218-0014
Journal on Data SemanticsSpringer1861-2032

Conferencias Relacionadas

CCFICOREAbreviaciónNombre CompletoEntregaNotificaciónFecha de conferencia
CBIEEE BigDataIEEE International Conference on Big Data2026-08-212026-10-242026-12-14
CDATAInternational Conference on Data Science, Technology and Applications2023-02-232023-04-212023-07-11
Data'International Conference on Data Science, E-learning and Information Systems2019-04-152019-05-152019-12-02
Big DataInternational Conference on Big Data2014-04-302014-06-052014-08-04
Smart DataIEEE International Conference on Smart Data2016-09-302016-10-312016-12-15
CBSSDBMInternational Conference on Scalable Scientific Data Management2026-04-242026-06-142026-08-11
BigSDMInternational Conference on Big Scientific Data Managemen2018-09-302018-10-202018-11-30
ICAISD'IEEE International Conference on Advanced Information Scientific Development2026-09-042026-10-042026-12-03
SciVisIEEE Scientific Visualization2017-03-212017-06-062017-10-01
ALLDATAInternational Conference on Big Data, Small Data, Linked Data and Open Data2022-01-242022-02-172022-04-24

Comentarios 0

Aún no hay comentarios.

Por favor Iniciar sesión para publicar un comentario