Open AccessExamining data sharing and data reuse in the dataone environment
Author(s) -
Murillo Angela P.
Publication year - 2014
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2014.14505101155
Subject(s) - metadata , computer science , reuse , data sharing , cyberinfrastructure , data discovery , profiling (computer programming) , data mapping , data element , data science , world wide web , database , engineering , medicine , alternative medicine , pathology , operating system , waste management
The Data Observation Network for Earth (DataONE), a U.S. NSF DataNet Partner, seeks to provide cyberinfrastructure for “open, persistent, robust, and secure access to…earth science observational data”. Scientists participating in DataONE are able to deposit, search, and reuse data available through various DataONE tools. The research presented in this poster‐paper reports on two studies examining data sharing and reuse in the DataONE environment. The two studies include 1) a profiling data assessment that examines the data and metadata being deposited into the DataONE system for data sharing, and 2) a pilot think‐aloud study that examines what factors influence decisions regarding data reuse. From the profiling data assessment, preliminary results indicate that data being deposited into the DataONE for sharing have three specific types of metadata available including a) dataset, b) access, and c) additional metadata. Results also indicated that there is variation regarding the robustness and completeness of information. Additionally, through the think‐aloud study results indicated that particular aspects the metadata information was useful for decision‐making regarding reuse of data for scientists, while other metadata aspects were described as not useful. The results section provide specific details of these findings and demonstrate how these two studies examine both data sharing and reuse within the DataONE environment.