Accelerating embedded computational analysis of Web data about music in UK universities

加速英国大学音乐网络数据的嵌入式计算分析

基本信息

  • 批准号:
    AH/X007316/1
  • 负责人:
  • 金额:
    $ 25.83万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    已结题

项目摘要

Web data is especially useful for the cultural study of music as the internet plays host to novel and complex cultural and social forms, like music streaming, ripping and sharing, and online co-production of music. However, specialised digital skills are required to retrieve, process, and analyse this data, especially at the scales that are required to deal with the increasing volumes of information available to researchers online. Despite its importance, which has been recently recognised by music researchers working in a variety of disciplines - including historical musicology, ethnomusicology, digital media and communication studies, and sociology - there are limited opportunities for UK-based researchers to acquire the necessary skills that will allow them to unlock this valuable data for use in their own research. The proposed research will address this problem by piloting a new digital skills training programme for music researchers, which will train approximately 60 UK-based researchers at a variety of digital skill levels and representing various career stages in topics relevant to using Web data as a primary source. Six, one-day, online workshops will be held on topics that are directly relevant to the needs of music researchers who are interested in making use of Web data in their research, which will be elicited through a survey programme and focus groups at the partner institutions of Durham University and the University of Birmingham. Some of the topics covered include: an introduction to Web technology for music researchers; training in the use new, user-friendly graphical user interfaces (GUIs) for the retrieval of Web data; and the advanced use of command-line interfaces to capture and analyse large amounts of Web data. The training offered will be of direct relevance to music researchers, as all workshop leaders themselves are music researchers, and they will be invited to illustrate how digital skills training has allowed them to answer exciting, transformative research questions. To ensure the usefulness of the training sessions to a much broader audience than the first cohort of trainees covered in this pilot project, workshop leaders and project staff will prepare their training materials according to an innovative and well-regarded methodology for open, reusable, and sustainable software skills training, known as The Carpentries. To ensure this, the project will consult with trainers from the Sustainable Software Institute, who will provide workshop leaders and project staff with the training needed to become certified Carpentries instructors and to successfully design and deliver collaborative digital skills training lessons. Toward the end of the project, the results of the survey programme and focus groups will be analysed, and the strengths and the weaknesses of the pilot will be critically analysed in a co-authored, peer-reviewed journal article. Additionally, the training materials used in the workshops will be published online and made freely available to all participants and other music researchers, so that they in turn may train others in digital skills that unlock Web data as a primary source. The project is led by a multidisciplinary team of investigators, spanning computer science and musicology, who all have used digital skills to advance their research goals. Working together with a Research Associate, the project team will impact digital skills delivery in the UK in three ways. In the short term, the pilot embeds a new capability at Durham and Birmingham for scalable digital skills training for music researchers, responding to actual need and training best practice. In the medium term, the project deliverables will be used to train peers, educate students, and support future decision-making by digital skills training stakeholders. Finally, in the long term, we embed digital skills in music research by emphasising their transformative aspect and creating future demand for related training.
网络数据对于音乐的文化研究特别有用,因为互联网承载着新颖而复杂的文化和社会形式,如音乐流媒体,翻录和共享以及在线音乐合作制作。然而,需要专业的数字技能来检索,处理和分析这些数据,特别是在处理研究人员在线提供的越来越多的信息所需的规模上。尽管它的重要性,这已经被最近在各种学科工作的音乐研究人员认识到-包括历史音乐学,民族音乐学,数字媒体和传播研究,以及社会学-英国的研究人员获得必要技能的机会有限,这将使他们能够解锁这些有价值的数据用于自己的研究。拟议的研究将解决这个问题,试行一个新的数字技能培训计划的音乐研究人员,这将培训约60名英国的研究人员在各种数字技能水平,并代表不同的职业生涯阶段的主题相关使用网络数据作为主要来源。将举办六次为期一天的在线讲习班,讨论与有兴趣在研究中利用网络数据的音乐研究人员的需求直接相关的主题,这些主题将通过达勒姆大学和伯明翰大学的伙伴机构的调查方案和重点小组进行调查。所涉及的一些主题包括:为音乐研究人员介绍网络技术;培训使用新的、用户友好的图形用户界面检索网络数据;以及高级使用命令行界面捕获和分析大量网络数据。所提供的培训将与音乐研究人员直接相关,因为所有研讨会负责人本身都是音乐研究人员,他们将被邀请说明数字技能培训如何使他们能够回答令人兴奋的变革性研究问题。为了确保培训课程对比本试点项目所涵盖的第一批学员更广泛的受众有用,研讨会负责人和项目工作人员将根据一种创新的、广受好评的开放式、可重复使用和可持续的软件技能培训方法(称为Carpentries)编写培训材料。为了确保这一点,该项目将咨询可持续软件研究所的培训师,他们将为研讨会负责人和项目工作人员提供成为认证Carpentries讲师所需的培训,并成功设计和提供协作数字技能培训课程。在项目接近尾声时,将对调查方案和重点小组的结果进行分析,并将在一篇共同撰写、经同行审查的期刊文章中对试点项目的优缺点进行批判性分析。此外,讲习班使用的培训材料将在网上发布,并免费提供给所有参与者和其他音乐研究人员,以便他们反过来可以培训其他人掌握数字技能,将网络数据作为主要来源。该项目由一个跨学科的研究团队领导,涵盖计算机科学和音乐学,他们都使用数字技能来推进他们的研究目标。该项目团队将与一名研究助理合作,以三种方式影响英国的数字技能交付。在短期内,试点项目将在达勒姆和伯明翰为音乐研究人员提供可扩展的数字技能培训,以满足实际需求并培训最佳实践。在中期,项目交付成果将用于培训同行,教育学生,并支持数字技能培训利益相关者未来的决策。最后,从长远来看,我们通过强调其变革方面并创造未来对相关培训的需求,将数字技能嵌入音乐研究。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Eamonn Bell其他文献

Hacking Jeff Minter’s Virtual Light Machine: Unpacking the Code and Community Behind an Early Software-Based Music Visualizer
破解杰夫·明特的虚拟光机:解开早期基于软件的音乐可视化器背后的代码和社区
  • DOI:
    10.4000/volume.7254
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Eamonn Bell
  • 通讯作者:
    Eamonn Bell
Approaches to handwritten conductor annotation extraction in musical scores
乐谱中手写指挥注释提取方法

Eamonn Bell的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

车载中央计算平台软件框架及泊车功能研发与产业化应用
  • 批准号:
  • 批准年份:
    2025
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
面向工业装备零部件的芯片级安全认证关键技术及应用
  • 批准号:
    2025C01063
  • 批准年份:
    2025
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
面向嵌入式系统的高能效边缘计算关键技术研究
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    15.0 万元
  • 项目类别:
    省市级项目
面向应用需求软硬件协同设计数据系统关键问题研究
  • 批准号:
    n/a
  • 批准年份:
    2023
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
基于间歇计算的实时自供能嵌入式系统设计关键技术研究
  • 批准号:
    62302270
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于二值化神经网络的无人机目标跟踪研究
  • 批准号:
    2022J01891
  • 批准年份:
    2022
  • 资助金额:
    10.0 万元
  • 项目类别:
    省市级项目
个性化边缘计算中嵌入式系统能耗和延迟优化技术研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
面向老年人步态异常早期识别的可穿戴感知与计算方法研究
  • 批准号:
  • 批准年份:
    2021
  • 资助金额:
    10.0 万元
  • 项目类别:
    省市级项目
边缘智能神经网络自动压缩优化与异构加速方法
  • 批准号:
    62002175
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究
  • 批准号:
    11902320
  • 批准年份:
    2019
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Next-generation KYC banking verification via embedded smart keyboard
通过嵌入式智能键盘进行下一代 KYC 银行验证
  • 批准号:
    10100109
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    Collaborative R&D
INSPIRE- Intersectional Spaces of Participation: Inclusive, Resilient, Embedded
INSPIRE-交叉参与空间:包容性、弹性、嵌入式
  • 批准号:
    10106857
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    EU-Funded
I-Corps: Translation Potential of Head Impact Monitoring with Embedded Sensor Technology in Sports Helmets
I-Corps:运动头盔中嵌入式传感器技术的头部碰撞监测的转化潜力
  • 批准号:
    2416207
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    Standard Grant
INSPIRE - Intersectional Spaces of Participation: Inclusive, Resilient, Embedded
INSPIRE - 交叉参与空间:包容性、弹性、嵌入式
  • 批准号:
    10091666
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    EU-Funded
Solving cashflow shortfalls in the construction industry using digital payments with embedded finance
使用数字支付和嵌入式金融解决建筑行业的现金流短缺
  • 批准号:
    10097800
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    Collaborative R&D
Applying a Program Science approach for strengthening partnerships and advancing embedded research to optimize public health programming for HIV and sexually transmitted and blood-borne infections among criminalized populations in the Global South
应用计划科学方法来加强伙伴关系并推进嵌入式研究,以优化南半球犯罪人群中针对艾滋病毒、性传播和血源性感染的公共卫生规划
  • 批准号:
    502554
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
INSPIRE: Intersectional Spaces of Participation: Inclusive, Resilient, Embedded
INSPIRE:交叉参与空间:包容性、弹性、嵌入性
  • 批准号:
    10105009
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    EU-Funded
CRII: SHF: Systematic Construction of Teaching Language Progressions for Embedded Domain-Specific Languages
CRII:SHF:嵌入式领域特定语言教学语言进程的系统构建
  • 批准号:
    2348408
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    Standard Grant
Decision-Embedded Deep Learning for Transit Systems
交通系统决策嵌入式深度学习
  • 批准号:
    2409847
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    Standard Grant
Intersectional Spaces of Participation: Inclusive, Resilient, Embedded
参与的交叉空间:包容性、弹性、嵌入式
  • 批准号:
    10105607
  • 财政年份:
    2024
  • 资助金额:
    $ 25.83万
  • 项目类别:
    EU-Funded
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了