Best versus Good Enough Practices for Open Music Research
Best versus Good Enough Practices for Open Music Research
复制标题
开放音乐研究的最佳实践与足够好的实践
DOI：
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复制
发表时间：
2021
影响因子：
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通讯作者：
Alexander Refsum Jensenius
中科院分区：
文献类型：
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作者：
Alexander Refsum Jensenius
音乐研究人员处理日益庞大和复杂的数据集。该领域几乎没有成熟的数据处理实践，并且存在一些概念、技术和实践挑战。此外，许多音乐研究人员不具备数据存储、管理和归档技术（或不感兴趣）。本文讨论了实证音乐研究人员在致力于开放研究实践时面临的一些特殊挑战：处理（1）（多媒体）媒体文件，（2）隐私和（3）版权问题。 MusicLab 就是一个例子，这是一个专注于促进音乐研究开放性的系列活动。有人认为，FAIR 原则提出的“最佳实践”在许多情况下要求过高，但“足够好的实践”对于许多人来说可能是可以实现的。建议采用四层数据处理“配方”作为在实证音乐研究中实现“足够好的实践”的具体建议。
Music researchers work with increasingly large and complex data sets. There are few established data handling practices in the field and several conceptual, technological, and practical challenges. Furthermore, many music researchers are not equipped for (or interested in) the craft of data storage, curation, and archiving. This paper discusses some of the particular challenges that empirical music researchers face when working towards Open Research practices: handling (1) (multi)media files, (2) privacy, and (3) copyright issues. These are exemplified through MusicLab, an event series focused on fostering openness in music research. It is argued that the "best practice" suggested by the FAIR principles is too demanding in many cases, but "good enough practice" may be within reach for many. A four-layer data handling "recipe" is suggested as concrete advice for achieving "good enough practice" in empirical music research.
影响因子：
9.8
作者：
Wilson G;Aruliah DA;Brown CT;Chue Hong NP;Davis M;Guy RT;Haddock SH;Huff KD;Mitchell IM;Plumbley MD;Waugh B;White EP;Wilson P
通讯作者：
Wilson P