Journal Title:Data & Policy
Data&Policy is an international academic journal focused on data science, policy analysis, and their intersection. The journal aims to provide a communication platform for researchers, policymakers, and practitioners to explore how data affects the policy-making process and how policies shape the collection, management, and use of data. It is committed to publishing high-quality research results that are not only innovative in theory, but also operable in practice, and can have a positive impact on policy formulation and implementation.
The magazine covers a wide range of content, including but not limited to data governance, data privacy and security, data-driven policy analysis, and the application of data science in public policy. It encourages interdisciplinary research and welcomes submissions from scholars in various fields such as economics, sociology, computer science, statistics, and political science. The readership of the magazine includes academic researchers, government officials, members of non-governmental organizations, and professionals from the private sector. The editorial team of the magazine is composed of internationally renowned scholars who have a profound understanding and rich experience in the fields of data science and policy analysis. The magazine adopts a strict peer review system to ensure that the published articles have high standards of academic quality and research depth. In addition, the magazine actively collaborates with international organizations such as UNESCO and the International Commission on Science and Technology Data (CODATA) to promote international exchange and cooperation in data policies.
《數(shù)據(jù)與政策》是一本專注于數(shù)據(jù)科學(xué)、政策分析以及二者交叉領(lǐng)域的國際學(xué)術(shù)期刊。該雜志旨在為研究者、政策制定者和實(shí)踐者提供一個交流平臺,以探討數(shù)據(jù)如何影響政策制定過程,以及政策如何塑造數(shù)據(jù)的收集、管理和使用。它致力于發(fā)表高質(zhì)量的研究成果,這些成果不僅在理論上具有創(chuàng)新性,而且在實(shí)踐中具有可操作性,能夠?qū)φ咧贫ê蛯?shí)施產(chǎn)生積極影響。
雜志內(nèi)容覆蓋廣泛,包括但不限于數(shù)據(jù)治理、數(shù)據(jù)隱私與安全、數(shù)據(jù)驅(qū)動的政策分析、數(shù)據(jù)科學(xué)在公共政策中的應(yīng)用等。它鼓勵跨學(xué)科的研究,歡迎來自經(jīng)濟(jì)學(xué)、社會學(xué)、計(jì)算機(jī)科學(xué)、統(tǒng)計(jì)學(xué)、政治學(xué)等多個領(lǐng)域的學(xué)者投稿。雜志的讀者群體包括學(xué)術(shù)研究人員、政府官員、非政府組織成員以及私營部門的專業(yè)人士。雜志的編輯團(tuán)隊(duì)由國際知名學(xué)者組成,他們對數(shù)據(jù)科學(xué)和政策分析領(lǐng)域有著深刻的理解和豐富的經(jīng)驗(yàn)。雜志采用嚴(yán)格的同行評審制度,確保發(fā)表的文章具有高標(biāo)準(zhǔn)的學(xué)術(shù)質(zhì)量和研究深度。此外,該雜志還積極與國際組織如聯(lián)合國教科文組織(UNESCO)和國際科學(xué)技術(shù)數(shù)據(jù)委員會(CODATA)等合作,共同推動數(shù)據(jù)政策的國際交流與合作。
Data & Policy由Cambridge University Press出版商出版,收稿方向涵蓋PUBLIC ADMINISTRATION全領(lǐng)域,平均審稿速度 12 Weeks ,影響因子指數(shù)1.8,該期刊近期沒有被列入國際期刊預(yù)警名單,廣大學(xué)者值得一試。
按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:PUBLIC ADMINISTRATION | ESCI | Q3 | 51 / 91 |
44.5% |
按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:PUBLIC ADMINISTRATION | ESCI | Q3 | 58 / 91 |
36.81% |
名詞解釋:
WOS即Web of Science,是全球獲取學(xué)術(shù)信息的重要數(shù)據(jù)庫,Web of Science包括自然科學(xué)、社會科學(xué)、藝術(shù)與人文領(lǐng)域的信息,來自全世界近9,000種最負(fù)盛名的高影響力研究期刊及12,000多種學(xué)術(shù)會議多學(xué)科內(nèi)容。給期刊分區(qū)時會按照某一個學(xué)科領(lǐng)域劃分,根據(jù)這一學(xué)科所有按照影響因子數(shù)值降序排名,然后平均分成4等份,期刊影響因子值高的就會在高分區(qū)中,最后的劃分結(jié)果分別是Q1,Q2,Q3,Q4,Q1代表質(zhì)量最高。
CiteScore | SJR | SNIP | CiteScore排名 | ||||||||||||||||||||
3.1 | 0.479 | 0.619 |
|
名詞解釋:
CiteScore:衡量期刊所發(fā)表文獻(xiàn)的平均受引用次數(shù)。
SJR:SCImago 期刊等級衡量經(jīng)過加權(quán)后的期刊受引用次數(shù)。引用次數(shù)的加權(quán)值由施引期刊的學(xué)科領(lǐng)域和聲望 (SJR) 決定。
SNIP:每篇文章中來源出版物的標(biāo)準(zhǔn)化影響將實(shí)際受引用情況對照期刊所屬學(xué)科領(lǐng)域中預(yù)期的受引用情況進(jìn)行衡量。
是否OA開放訪問: | h-index: | 年文章數(shù): |
開放 | -- | 31 |
Gold OA文章占比: | 2021-2022最新影響因子(數(shù)據(jù)來源于搜索引擎): | 開源占比(OA被引用占比): |
98.96% | 1.8 | |
研究類文章占比:文章 ÷(文章 + 綜述) | 期刊收錄: | 中科院《國際期刊預(yù)警名單(試行)》名單: |
100.00% | SCIE | 否 |
歷年IF值(影響因子):
歷年引文指標(biāo)和發(fā)文量:
歷年自引數(shù)據(jù):
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