Vast amounts of publicly licensed classical music resources are housed within many different repositories on the Web encompassing richly diverse facets of information—including bibliographical and biographical data, digitized images of music notation, music score encodings, audiovisual performance recordings, derived feature data, scholarly commentaries, and listener reactions. While these varied perspectives ought to contribute to greater holistic understanding of the music objects under consideration, in practice, such repositories are typically minimally connected. The TROMPA project aims to improve this situation by interconnecting and enriching public-domain music repositories. This is achieved, on the one hand, by the application of automated, cutting-edge Music Information Retrieval techniques, and on the other, by the development of contribution mechanisms enabling users to integrate their expertise. Information within established repositories is interrelated with data generated by the project within a data infrastructure whose design is guided by the FAIR principles of data management and stewardship: making music information Findable, Accessible, Interoperable, and Reusable. We provide an overview of challenges of description, identification, representation, contribution, and reliability toward applying the FAIR principles to music information, and outline TROMPA's implementational approach to overcoming these challenges. This approach applies a graph-based data infrastructure to interrelate information hosted in different repositories on the Web within a unifying data model (a 'knowledge graph'). Connections are generated across different representations of music content beyond the catalogue level, for instance connecting note elements within score encodings to corresponding moments in performance time-lines. Contributions of user data are supported via privacy-first mechanisms that retain control of such data with the contributing user. Provenance information is captured throughout, supporting reproducibility and re-use of the data both within and outside the context of the project.

中文翻译：

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网络公共领域音乐资源的公平互联与丰富

大量公开授权的古典音乐资源存放在网络上的许多不同存储库中，包含丰富多样的信息——包括书目和传记数据、音乐符号的数字化图像、乐谱编码、视听表演录音、衍生特征数据、学术评论，以及听众的反应。虽然这些不同的观点应该有助于对所考虑的音乐对象进行更全面的理解，但在实践中，这些存储库通常是最小连接的。TROMPA 项目旨在通过互连和丰富公共领域的音乐存储库来改善这种情况。一方面，这是通过应用自动化的尖端音乐信息检索技术来实现的，另一方面，通过开发贡献机制，使用户能够整合他们的专业知识。已建立存储库中的信息与数据基础架构中项目生成的数据相互关联，其设计遵循数据管理和管理的公平原则：使音乐信息可查找、可访问、可互操作和可重用。我们概述了将 FAIR 原则应用于音乐信息的描述、识别、表示、贡献和可靠性方面的挑战，并概述了 TROMPA 克服这些挑战的实施方法。这种方法应用基于图的数据基础架构，将托管在 Web 上不同存储库中的信息在统一的数据模型（“知识图”）中相互关联。跨目录级别之外的音乐内容的不同表示生成连接，例如将乐谱编码中的音符元素连接到演奏时间线中的相应时刻。用户数据的贡献通过隐私优先的机制得到支持，该机制与贡献用户保持对此类数据的控制。出处信息在整个过程中被捕获，支持在项目范围内和外部对数据的可重复性和重用。