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Scientific Data

出版年份:暂无数据 年文章数:2327 投稿命中率: 开通期刊会员,数据随心看

出版周期:Daily 自引率:5.4% 审稿周期: 开通期刊会员,数据随心看

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期刊简介

期刊简介
GetPortalImpactFactorByIdResp(projectId=1, id=610d13150, cover=https://img.medsci.cn/images/journal/cover/2021/fFu_202109271316349030.jpg, fullname=Scientific Data, abbr=SCI DATA, pyear=暂无数据, frequence=Daily, articleNumbers=2327, citedSelf2015=5.4, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=平均2.5月, reviewFee=null, pageFee=2000.0, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=2052-4463, greenSci=https://www.greensci.net/search?kw=2052-4463, scijournal=https://www.scijournal.org/impact-factor-of-SCI-DATA.shtml, medsciHotlightString=null, medsciHotlightRealtime=7.833, medsciHotlight=7.009, medsciHotlight5year=6.48808, citescore=8.9, hIndex=64, impactFactor=9.8, orgnization=Nature Publishing Group, orgnizationUrl=, country=United Kingdom, countryCn=英国, isOa=1, isOaString=是, sciScie=, bigclassCas=综合性期刊 3区, smallclassCas=综合性期刊 2 区, website=https://www.nature.com/sdata/?utm_source=other_website&utm_medium=display&utm_content=mpu&utm_campaign=JRCN_1_CZ_MedSci_SDATA, websiteHits=2271, guideForAuthor=https://www.nature.com/sdata/publish/for-authors/?utm_source=other_website&utm_medium=display&utm_content=mpu&utm_campaign=JRCN_1_CZ_MedSci_SDATA, guideForAuthorHits=541, submitWebsite=https://mts-scidata.nature.com/cgi-bin/main.plex, submitWebsiteHits=1017, content=<p style="color: #222222;"><em>Scientific Data</em> 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. It aims to advance the sharing and reuse of scientific data, promote wider data sharing and reuse, and to credit those that share.</p> <p style="color: #222222;"><em>Scientific Data</em> is a peer-reviewed open-access journal for descriptions of datasets and research that advances the sharing and reuse of research data. Our primary content-type, the Data Descriptor, combines traditional narrative content with structured descriptions of data to provide a framework for data-sharing to accelerate the pace of scientific discovery. These principles are designed to align with and support the <a style="color: #006699;" href="http://www.nature.com/articles/sdata201618">FAIR Principles</a> for scientific data management and stewardship, which declare that research data should be <strong>Findable</strong>, <strong>Accessible</strong>, <strong>Interoperable</strong> and <strong>Reusable</strong>.</p> <p style="color: #222222;"><em>Scientific Data</em> primarily publishes Data Descriptors. These provide detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others reuse data, rather than testing hypotheses, or presenting new interpretations, methods or in-depth analyses.</p> <p style="color: #222222;"><em>Scientific Data</em> also welcomes submissions describing analyses or meta-analyses of existing data, and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research.</p> <p style="color: #222222;"><em>Scientific Data</em> uses a thorough peer-review process that evaluates the rigour and quality of the experiments used to generate the data and the completeness of the description of the data. The actual data are stored in one or more public, community-recognized repositories, and release of the data is verified as a condition of publication.</p> <p style="color: #222222;">Data Descriptors may describe data from new or published studies, and can be published alongside traditional research works. Data Descriptors that describe previously published datasets should provide new content sufficient to merit further publication: for example, updates to important datasets, fuller release of a dataset, or additional information that aids reuse. Please see our policies on <a style="color: #006699;" href="http://www.nature.com/sdata/policies/editorial-and-publishing-policies/#complementary">complementary</a> and <a style="color: #006699;" href="http://www.nature.com/sdata/policies/editorial-and-publishing-policies/#prior-pub">prior</a> publication.</p> <h2 id="costs" style="color: #222222;">Costs</h2> <p style="color: #222222;"><em>Scientific Data</em> is an open-access publication. To publish in <em>Scientific Data</em> authors are required to pay an article-processing charge (APC). Please see information on our current <a style="color: #006699;" href="http://www.nature.com/sdata/about/oa">APC rates and licensing options</a>, as well as our free <a style="color: #006699;" href="http://www.nature.com/openresearch/funding/">open access funding support service</a>.</p> <h2 id="format" style="color: #222222;">Format of Data Descriptors</h2> <p style="color: #222222;"><em>Scientific Data</em> publishes descriptions of datasets under its primary article-type, the Data Descriptor. Please see our <a style="color: #006699;" href="http://www.nature.com/sdata/publish/submission-guidelines">submission guidelines</a> to learn how to draft and format your Data Descriptor, and to download a manuscript template. The main elements of a Data Descriptor manuscript are:</p> <div style="color: #222222;"> <ul> <li>Title (recommended length 110 characters or fewer)</li> <li>Abstract (maximum 170 words)</li> <li>Background & Summary (unlimited length)</li> <li>Methods (unlimited length)</li> <li>Data Records (unlimited length)</li> <li>Technical Validation (unlimited length)</li> <li>Usage Notes (unlimited length)</li> <li>Code Availability</li> <li>References</li> <li>Figures </li> <li>Tables</li> </ul> </div> <h2 id="other-formats" style="color: #222222;">Other content types</h2> <p style="color: #222222;">An ‘<strong>Analysis</strong>’ paper re-analyses or re-assesess existing open data, rather than sharing a new dataset. This format may be used to highlight examples of data reuse or present new findings and conclusions derived from published data. Analysis submissions are not required to use data previously published at <em>Scientific Data</em>. If the analysis relies on data that were not previously published, the authors may be invited to submit a Data Descriptor. Analysis submissions should exemplify reproducible research by clearly describing all steps in the analysis, providing supporting source code, and explaining how and where others may access all data underlying the analysis.</p> <p style="color: #222222;">The ‘<strong>Article</strong>’ format can be used to present original reports on systems and techniques related to data sharing and reproducible research. Common topics include data policies, repositories, standards, ontologies, workflows or another other areas related to the mechanics or culture of data sharing. </p> <p style="color: #222222;"><strong>Analyses</strong> and <strong>Articles </strong>should include an Introduction followed by sections headed Results, Discussion, Methods. All Analysis and Article submissions should include code and data availability statements. Guidance on writing a data availability statement can be <a style="color: #006699;" href="https://www.springernature.com/gp/authors/research-data-policy/data-availability-statements/12330880">found here</a>. The Methods should be followed by References, Acknowledgements and a Competing interests statement.</p> <p style="color: #222222;">‘<strong>Comment</strong>’ is a flexible format used to publish short commentaries or opinions on research data policy, workflows or infrastructure that don't need to report a specific technology or finding. Comments are generally 1-5 pages in length. They may include one figure, table or box, and up to 25 references, however these formats are flexible. Comments should begin with a bolded “standfirst” of one or two sentences that reads smoothly with the rest of the piece. They may not include supplementary information, and generally do not have separate abstracts or author contributions statement. They are required to include a competing interests statement. An acknowledgements section is optional.</p> <p style="color: #222222;">All article types are peer-reviewed.</p> <h2 id="submission-policies" style="color: #222222;">Submission policies</h2> <p style="color: #222222;">Submission to <em>Scientific Data</em> is taken to imply that the submitted manuscript has not been published elsewhere. Authors may not submit elsewhere while the manuscript is under consideration at <em>Scientific Data</em>. Authors may submit Data Descriptors describing data that have already been publicly released or even analysed in previous research articles, when a new publication would substantially extend the reuse value of these data, but any previous publications related to the dataset must be clearly cited in the Data Descriptor manuscript and discussed in the submission cover letter.</p> <p style="color: #222222;">The primary affiliation for each author should be the institution where the majority of the work was done. If an author has subsequently moved, the current address may also be stated. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p> <p style="color: #222222;">If the manuscript includes personal communications, please provide a written statement of permission from any person who is quoted. E-mail permission messages are acceptable.</p> <p style="color: #222222;">The corresponding author will be sent proofs, and will be able to correct major scientific errors or inaccuracies in the title or author list, but <em>Scientific Data</em> reserves the right to limit the scope of changes.</p> <p style="color: #222222;"><em>Scientific Data</em> reserves the right to reject a Data Descriptor even after it has been accepted if it becomes apparent that there are serious problems with the scientific content or violations of our publishing policies. For information relating to competing financial interests; pre-publication publicity; deposition of data as a condition of publication; availability of data and reagents after publication; human participants and animal subjects; digital image integrity; biosecurity; corrections and retractions; duplicate publication; confidentiality; and plagiarism, please see the <a style="color: #006699;" href="http://www.nature.com/sdata/policies/editorial-and-publishing-policies">Editorial and publishing policies</a> of <em>Scientific Data</em>.</p> <p style="color: #222222;">For information on our editorial process and criteria for publication please see our <a style="color: #006699;" href="http://www.nature.com/sdata/policies/for-referees">Guide to referees</a>.</p> <h2 id="transfer" style="color: #222222;">Transfer service</h2> <p style="color: #222222;"><em>Scientific Data</em> is editorially independent, and the Editors and Editorial Board Members make decisions independently from other Nature Publishing Group journals. It is for authors alone to decide where to submit their manuscripts. For manuscripts that could satisfy the scope of more than one Nature Publishing Group journal, the choice of which journal to submit to first lies with the authors.</p> <p style="color: #222222;">Authors may wish to transfer works to <em>Scientific Data</em> after rejection at other journals, especially when the article describes valuable datasets. Our unique format means that, in most cases, the article will have to be revised before peer review. If a manuscript is rejected from a Nature Publishing Group journal, the authors can use an automated manuscript transfer service to submit the manuscript to<em> Scientific Data</em>.</p>, totalCites=22811, brief=SCI DATA杂志综合性期刊行业,暂不明确子行业的级别不明杂志, articleType=本刊接收类型不明, medsciHeat=<span style="color: #000000;">黑</span>, medsciComment=杂志水平一般,也很冷门,关注人少,审稿周期可能也不一定快,如果文章质量不佳,或时间不紧的话,可以考虑考虑。, medsciExplanation=MedSci期刊指数是根据中国科研工作者(含医学临床,基础,生物,化学等学科)对SCI杂志的认知度,熟悉程度,以及投稿的量等众多指标综合评定而成。当然,具体的,您还可以结合“<a href='https://www.medsci.cn/sci/submit.do?id=610d13150'>投稿经验系统</a>”,进行综合判断,这更是大家的实战经验,值得分享和参考。<br> 注意,上述MedSci期刊指数采用MedSci专利技术,由计算机系统自动计算,并给出建议,存在不准确的可能,仅供您投稿选择杂志时参考。, tags=[ImpactFactorTagDto(id=11140, tagName=生命科学, createdHits=1), ImpactFactorTagDto(id=41091, tagName=环境科学, createdHits=1), ImpactFactorTagDto(id=10938, tagName=生物医学, createdHits=1), ImpactFactorTagDto(id=114435, tagName=综合类研究, createdHits=1)], citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2017, citescore=6.08), GetImpactFactorCiteScoreListResponse(year=2018, citescore=6.44), GetImpactFactorCiteScoreListResponse(year=2019, citescore=8.4), GetImpactFactorCiteScoreListResponse(year=2020, citescore=8.9)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=7.676), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=7.669), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=6.619), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=7.272), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=7.833)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Social Sciences - Education , rank=6/1040), GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Statistics and Probability , rank=2/206), GetImpactFactorCiteScoreGradeResponse(smallClass=Decision Sciences - Statistics, Probability and Uncertainty , rank=2/122), GetImpactFactorCiteScoreGradeResponse(smallClass=Social Sciences - Library and Information Sciences , rank=5/211), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Computer Science Applicatio, rank=Computer Science - Computer Science Applicatio)], totalJcrAreaList=[], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2052-4463[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=Scientific Data[ta], article_number=782, article_number_cn=147, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)
期刊名称
SCI DATA/Scientific Data
ISSN
2052-4463
影响指数话题
预警等级
MedSci期刊指数
7.833 (MedSci实时期刊指数) | 6.48808 (5年期刊指数)
CiteScore值
8.9
h-index
64
h5-median
暂无数据
出版社/管理机构
杂志由 Nature Publishing Group 出版或管理
出版国家/地区
United Kingdom 英国
出版周期
Daily
出版年份
暂无数据
是否OA
被收录情况
暂无数据
JCR分区
暂无数据
中科院分区
大类:综合性期刊 3区
小类:综合性期刊 2 区