|国家预印本平台
首页|大数据的热点问题:数据基础设施何去何从?

大数据的热点问题:数据基础设施何去何从?

he Hot Issue of Big Data: Where Should Data Infrastructure Go?

中文摘要英文摘要

大数据分析和应用涵盖了五个挑战,包括:计算基础设施、数据管理实践、研究人员偏好、各种合作机会和技术掩盖的成本。本文针对这些问题提出了一些切实可行的建议:(1)建立开放的科学平台和数据仓库,促进数据共享和交流;(2) 加强跨学科协作机制,鼓励不同领域的专家参与数据分析和研究;(3) 制定明确的行为准则和规范,以确保数据质量和隐私保护;(4) 利用云计算技术和自动化工具来提高数据处理和分析的效率;(5) 投资大数据领域的教育,培养更多人才,提高整个行业的技术水平。

The big data analysis and application, covers five challenges including the computing infrastructure, the data management practices, the researcher preferences, the various collaboration opportunities and the cost obscured by technology. This article proposes some feasible practical suggestions to address these issues as (1) establishing open scientific platforms and data warehouses to facilitate data sharing and communication; (2) strengthening cross-disciplinary collaboration mechanisms and encouraging experts from different fields to participate in data analysis and research; (3) developing clear codes of conduct and specifications to ensure data quality and privacy protection; (4) utilizing cloud computing technologies and automation tools to improve the efficiency of data processing and analysis; (5) investing in education in the field of big data, cultivating more talents, and improving the technical level of the entire industry.

顾立平

10.12074/202310.00009V1

计算技术、计算机技术科学、科学研究教育

开放科学、开放数据、数据共享、大数据分析、大数据处理、大数据存储

Open ScienceOpen DataData SharingBig Data AnalysisBig Data ProcessingBig Data Store

顾立平.大数据的热点问题:数据基础设施何去何从?[EB/OL].(2023-09-28)[2025-08-19].https://chinaxiv.org/abs/202310.00009.点此复制

评论