ジャーナル情報

Scientific Data

ジャーナルのウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
このデータを API で取得
検索とランキング一覧は資格情報なしで利用できます。このページの詳細データには無料の API キーが必要です。詳しくは開発者向けガイドをご覧ください。
インパクトファクター:
6.9
出版社:
Springer
ISSN:
2052-4463
閲覧:
22477
フォロー:
1

論文募集

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.
最終更新:Dou Sun

Special Issues

Special Issue on Data from archaeological samples, museum collections and historical records 投稿締切日: 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.
最終更新:Dou Sun

これを見た人はこちらも見ています

CCF正式名称インパクトファクター出版社ISSN
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CFuture Generation Computer Systems5.9Elsevier0167-739X
CDiscover Computing1.9Springer2948-2992
BInformation Sciences6.0Elsevier0020-0255
AIEEE Transactions on Multimedia9.7IEEE1520-9210
BPattern Recognition7.6Elsevier0031-3203
CNeurocomputing6.5Elsevier0925-2312
AIEEE Transactions on Services Computing5.8IEEE1939-1374
Applied Soft Computing7.8Elsevier1568-4946

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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

関連会議

コメント 0

まだコメントはありません。

コメントするにはログインしてください