IASSIST Quarterly https://www.iassistquarterly.com/index.php/iassist <p class="p1">The <strong>IASSIST Quarterly</strong> represents an international cooperative effort on the part of individuals managing, operating, or using machine-readable data archives, data libraries, and data services. The&nbsp;<strong>IASSIST Quarterly </strong>reports on activities related to the production, acquisition, preservation, processing, distribution, and use of machine-readable data carried out by its members and others in the international social science community.&nbsp;</p> en-US <p>"This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms."<br><a href="https://creativecommons.org/licenses/by-nc/4.0/"><br><img src="/public/site/images/ojsadmin/ccbync2.png"><br></a></p> kbr@sam.sdu.dk (Karsten Boye Rasmussen) walter@sfu.ca (Walter Piovesan) Thu, 24 May 2018 09:25:04 -0600 OJS http://blogs.law.harvard.edu/tech/rss 60 Rebuilding, Preserving and Reproducing https://www.iassistquarterly.com/index.php/iassist/article/view/17 <p>Editor's Notes Vol 41 / No.2</p> Karsten Boye Rasmussen ##submission.copyrightStatement## https://www.iassistquarterly.com/index.php/iassist/article/view/17 Tue, 12 Dec 2017 22:19:59 -0700 Using ReproZip for Reproducibility and Library Services https://www.iassistquarterly.com/index.php/iassist/article/view/18 <p>Achieving 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.</p> Vicky Steeves, Rémi Rampin, Fernando Chirigati ##submission.copyrightStatement## https://www.iassistquarterly.com/index.php/iassist/article/view/18 Tue, 12 Dec 2017 00:00:00 -0700 Who Cares About 3D Preservation? https://www.iassistquarterly.com/index.php/iassist/article/view/20 <p>Preservation 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.</p> Jennifer Moore, Hannah Scates Kettler ##submission.copyrightStatement## https://www.iassistquarterly.com/index.php/iassist/article/view/20 Tue, 12 Dec 2017 00:00:00 -0700 Retirement in the 1950s: https://www.iassistquarterly.com/index.php/iassist/article/view/19 <p>In 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.</p> Amy M. Pienta, Jared Lyle ##submission.copyrightStatement## https://www.iassistquarterly.com/index.php/iassist/article/view/19 Tue, 12 Dec 2017 22:16:06 -0700