Reliable Granular References to Changing Linked Data

This file set contains the Git repository and resulting datasets for the computational analyses used in the associated publication: Reliable Granular References to<br>Changing Linked Data.<br><br>The data is supplied in compressed .zip and .gz formats that can be uncompressed by standard compression utilities. The compressed files contain incremental datasets of nanopublications from both DisGeNET and WikiPathways, including TriG RDF graphs for each, along with the Git repository containing scripts, diagrams, background literature, output data and results files.<br>Background from associated publication:Nanopublications are tiny packages of Linked Data that come with provenance and metadata attached, they are also a concept to represent Linked Data in a granular and provenance-aware manner, which has been successfully applied to a number of scientific datasets. We demonstrated in previous work how we can establish reliable and verifiable identifiers for nanopublications and sets thereof. Further adoption of these techniques, however, was probably hindered by the fact that nanopublications can lead to an explosion in the number of triples due to auxiliary information about the structure of each nanopublication and repetitive provenance and metadata. We demonstrate here that this significant overhead disappears once we take the version history of nanopublication datasets into account, calculate incremental updates, and allow users to deal with the specific subsets they need. We show that the total size and overhead of evolving scientific datasets is reduced, and typical subsets that researchers use for their analyses can be referenced and retrieved efficiently with optimized precision, persistence, and reliability.<br>本文件套件包含关联学术出版物《针对动态关联数据的可靠细粒度引用（Reliable Granular References to Changing Linked Data）》中所使用的计算分析对应的Git仓库与生成数据集。 本数据集采用.zip与.gz压缩格式封装，可通过标准压缩工具完成解压。压缩包内含源自DisGeNET与WikiPathways的纳米出版物（nanopublications）增量数据集，二者均附带TriG格式RDF图；同时包含Git仓库，内藏脚本、图表、背景文献、输出数据与结果文件。 关联出版物背景说明： 纳米出版物（nanopublications）是附带溯源信息与元数据的微型关联数据（Linked Data）封装包，同时也是一种以细粒度且支持溯源感知的方式表征关联数据的概念，该概念已成功应用于多类科学数据集。我们在过往研究中论证了如何为纳米出版物及其集合构建可靠且可验证的标识符。 然而，此类技术的进一步推广或受限于以下瓶颈：由于每条纳米出版物的结构辅助信息以及重复的溯源与元数据内容，纳米出版物会引发三元组（triples）数量的爆发式增长。 本次研究证明，若考虑纳米出版物数据集的版本历史、计算增量更新并允许用户按需处理所需的特定子集，则此类显著的开销将不复存在。研究表明，动态演进的科学数据集的总规模与开销得以降低，研究人员用于分析的典型子集可通过优化后的精准度、持久性与可靠性实现高效引用与检索。