| 书目名称 | Data Science Landscape | | 副标题 | Towards Research Sta | | 编辑 | Usha Mujoo Munshi,Neeta Verma | | 视频video | | | 概述 | Concentrates on the important gap in research data infrastructure, the absence of broad availability and use of data citation protocols.Focuses on various vivid dimensions of data science, such as rig | | 丛书名称 | Studies in Big Data | | 图书封面 |  | | 描述 | .The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. .The idea of this work germinated from the two day workshop on “Big and Open Data – Evolving Data Science Standards and Citation Attribution Practices”, an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and th | | 出版日期 | Book 2018 | | 关键词 | Big Data; Data Citation protocol; Citation Standards; Big Data Principles; Data Repositories; Data Manage | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-7515-5 | | isbn_softcover | 978-981-13-3960-8 | | isbn_ebook | 978-981-10-7515-5Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | Springer Nature Singapore Pte Ltd. 2018 |
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发表于 2025-3-21 18:58:39
