RESEARCH METHODS Samples from the Dakota Formation were obtained from cores at Sergeant Bluff, Iowa (Witzke and Ludvigson, 1994). Samples from the Swan River Formation of Manitoba were obtained from unit 1 of outcrop section 57 of McNeil and Caldwell (1981, p. 349-350). Samples were impregnated with epoxy, and thin slabs and thin sections were cut perpendicular to bedding. Powdered
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.
Not all potential recipients will find a kidney donor online. Participants indicated that through sharing educational information, staying positive, and actively maintaining their online solicitation efforts they received numerous social benefits even if they did not find a kidney donor.
Following a revolution in digital information and technological development, both the need for and opportunities in digital preservation education have been growing over the last 30 years. This study aimed to examine digital preservation course content through an analysis of course syllabi to understand what is taught in library schools through the graduate level. Our analysis demonstrates the significant growth in digital preservation education during the last decade but also presents several areas that need to be improved, such as more integration of technology into the courses, providing advanced courses, developing core sets of literature, and developing more content for teaching issues related to ethics and diversity.
The article provides the motivations and foundations for creating an interdisciplinary program between a Library and Information Science department and a Human-Centered Computing department. The program focuses on data studies and data science concepts, issues, and skill sets. In the paper, we analyze trends in Library and Information Science curricula, the emergence of data-related Library and Information Science curricula, and interdisciplinary data-related curricula. Then, we describe the development of the undergraduate data curriculum and provide the institutional context; discuss collaboration and resource optimization; provide justifications and workforce alignment; and detail the minor, major, and graduate opportunities. Finally, we argue that the proposed program holds the potential to model interdisciplinary, holistic datacentered curriculum development by complimenting Library and Information Science traditions (e.g., information organization, access, and ethics) with scholarly work in data science, specifically data visualization and analytics. There is a significant opportunity for Library and Information Science to add value to data science and analytics curricula, and vice versa.
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