IASSIST Quarterly (Journal)
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Using ReproZip for Reproducibility and Library Services
Full text linkAchieving research reproducibility is challenging in many ways: there are social and cultural obstacles as well as a constantly changing technical landscape that makes replicating and reproducing research difficult. Users face challenges in reproducing research across different operating systems, in using different versions of software across long projects and among collaborations, and in using publicly available work. The dependencies required to reproduce the computational environments in which research happens can be exceptionally hard to track – in many cases, these dependencies are hidden or nested too deeply to discover, and thus impossible to install on a new machine, which means adoption remains low. In this paper, we present ReproZip , an open source tool to help overcome the technical difficulties involved in preserving and replicating research, applications, databases, software, and more. We will examine the current use cases of ReproZip , ranging from digital humanities to machine learning. We also explore potential library use cases for ReproZip, particularly in digital libraries and archives, liaison librarianship, and other library services. We believe that libraries and archives can leverage ReproZip to deliver more robust reproducibility services, repository services, as well as enhanced discoverability and preservation of research materials, applications, software, and computational environments
The Role of Case Studies in Effective Data Sharing, Reuse and Impact
Full text linkThe Role of Case Studies in Effective Data Sharing, Reuse and Impac
Towards Common Metadata Using GSIM and DDI 3.2
Full text linkTowards Common Metadata Using GSIM and DDI 3.
Who Cares About 3D Preservation?
Full text linkPreservation of 3D research data is a present and emerging need. An increasing number of researchers are generating, capturing and/or analyzing 3D data, but are rarely focused on preservation or reuse. This paper and presentation will describe models of 3D data creation and use, outline the specific concerns for this data type, unpack complexities and challenges of preserving it and examine existing 3D data preservation resources while working through local case studies from the field of anthropology. Directions to move digital 3D data preservation forward will be discussed
Retirement in the 1950s:: Rebuilding a Longitudinal Research Database
Full text linkIn 2010, ICPSR began a long process of recovering data from Gordon Streib’s Cornell Study of Occupational Retirement (CSOR). Because the unique data fill a gap in our understanding of US retirement history, we determined that an extensive data recovery project was warranted. This paper describes the scope of the data collection and the steps in ICPSR’s recovery process. Though the data recovery was ultimately successful, this paper documents the amount of time invested and costs associated with this kind of recovery work. It also highlights the value of these data for future research in understanding gender and retirement in a historic context. In addition to the resulting publicly available data arising from this project, extensive paper medical records are housed at ICPSR for on-site analysis or for a future digitization project. These data would provide unique health information on older women and men traced over a period of time in the 1950s and represents future work for ICPSR to undertake
MMRepo - Storing qualitative and quantitative data into one big data repository
Full text linkMMRepo - Storing qualitative and quantitative data into one big data repositor
Designing the Cyberinfrastructure for Spatial Data Curation, Visualization, and Sharing
Full text linkWidely used across disciplines such as natural resources, social sciences, public health, humanities, and economics, spatial data is an important component in many studies and has promoted interdisciplinary research development. Though an institutional data repository provides a great solution for data curation, preservation, and sharing, it usually lacks the spatial visualization capability, which limits the use of spatial data to professionals. To increase the impact of research-generated spatial data and truly turn them into digital maps for a broader user base, we have designed and developed the workflow and cyberinfrastructure to extend the current capability of our institutional data repository by visualizing the spatial data on the web. In this project, we added a GIS server to the original institutional data repository cyberinfrastructure, which enables web map services. Then, through a web mapping API, we visualized the spatial data as an interactive web map and embedded in the data repository web page. From the user’s perspective, researchers can still identify, cite and reuse the dataset by downloading the data and metadata and the DOI offered by the data repository. General information users can also browse the web maps to find location-based information. In addition, these data was ingested into the spatial data portal to increase the discoverability for spatial information users. Initial usage statistics suggest that this cyberinfrastructure has greatly improved the spatial data usage and extended the institutional data repository to facilitate spatial data sharing
Embracing the ‘Data Revolution’: Opportunities and Challenges for Research
Full text linkEmbracing the ‘Data Revolution’: Opportunities and Challenges for Researc
The Academic Data Librarian in Theory and Practice: Databrarianship -- The Academic Data Librarian in Theory and Practice. (2016)
No full text Book Review: The Academic Data Librarian in Theory and Practice. (2016