A Study of Data Citation

• Main Authors: Yi-Hung Huang, 黃曳弘
• Other Authors: 林軒田
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/55414223899054254263

博士 === 國立臺灣大學 === 資訊工程學研究所 === 104 === In this thesis, we focus on analyzing the various of data citation to the data repository. We think consistent practice of data citation facilitates and incentivizes data sharing and reuse because it could be counted as professional recognition for data providers as citations of journal and other types publications. The Protein Data Bank (PDB) is the worldwide repository of 3D structures of proteins, nucleic acids and complex assemblies, most of which play essential biological roles. The major data of PDB are the experimentally determined structures of protein, and are provided by unique identifiers (PDB IDs) and corresponding primary citations that make them easier to be used as the referenced data. Therefore, it could be a good practice model for data citation research. Meanwhile, our studies focus on the interplay of PDB IDs mentions recognition and references cited of the literature, and the relative importance of these two mechanisms can be expressed by investigating the data citation patterns. By exploring rich structures and related citations of PDB, we can investigate the relationships between protein structures from the viewpoint of the citation network. Moreover, the analysis of the literature and data citation networks may demonstrate potential pathways of scientific discovery, that is, how knowledge and data were used to advance a particular field in structural biology. Based on the results of analyses, we could recommend data citation and provenance practices, approaches to discover data citations, ways of linking citations and data, and data access metrics. We hope our work will benefit the data reused, experiments reproduced, and even provide machine readability for tracing the data usage.