https://iassistquarterly.com/index.php/iassist/issue/feed IASSIST Quarterly 2022-09-29T10:54:11-06:00 Karsten Boye Rasmussen editor.iassistquarterly@gmail.com Open Journal Systems <p class="p1">The <strong>IASSIST Quarterly</strong> at https://iassistquarterly.com is an international, peer-reviewed, indexed, open access quarterly publication of articles dealing with social science information and data services, including relevant societal, legal, and ethical issues.</p> <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 <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. </p> https://iassistquarterly.com/index.php/iassist/article/view/1037 Factors contributing to repository success in recruiting data deposits 2022-09-17T01:17:41-06:00 Michele Hayslett michele_hayslett@unc.edu Matthew Jansen mtjansen@email.unc.edu <p>What factors make data repositories successful in recruiting research data deposits from scholars? While quite a few studies outline researchers’ data management needs and how repositories can meet those needs, few have assessed the success of various approaches. This study examines infrastructure for accepting data into repositories and identifies factors influential in recruiting data deposits.</p> 2022-09-29T00:00:00-06:00 Copyright (c) 2022 Michele Hayslett, Matthew Jansen https://iassistquarterly.com/index.php/iassist/article/view/1022 Going qual in: Towards methodologically inclusive data work in academic libraries 2022-02-12T01:42:34-07:00 Jessica Hagman jhagman@illinois.edu Hilary Bussell bussell.21@osu.edu <p>Data literacy and research data services are a growing part of the work of academic libraries. Data in this context is often presumed to mean only numeric data or statistics, leaving open the question of what role qualitative research plays in services and programming for research data and data literacy. In this paper, we report on the results of interviews with academic librarians about their understanding of data literacy, qualitative research, and academic library infrastructure around qualitative research. From the interviews, we propose a model of data literacy that incorporates both interpretive and instrumental elements. We conclude with suggestions for incorporating qualitative data and analysis methods into academic library programming and services around data literacy and research data.</p> 2022-09-29T00:00:00-06:00 Copyright (c) 2022 Jessica Hagman, Hilary Bussell https://iassistquarterly.com/index.php/iassist/article/view/1027 Developing data literacy: How data services and data fellowships are creating data skilled social researchers 2022-02-20T23:51:54-07:00 Vanessa Higgins vanessa.higgins@manchester.ac.uk Jackie Carter Jackie.Carter@manchester.ac.uk <p><span class="TextRun SCXW36119488 BCX8" lang="EN-GB" xml:lang="EN-GB" data-contrast="auto"><span class="NormalTextRun SCXW36119488 BCX8">This paper describes two successful approaches to quantitative data literacy training within the UK and the synergies and collaborations between these two programmes. The first is a data literacy training programme, being delivered by the UK Data Service, which focuses on training in basic data literacy skills. The second is a Data Fellows programme that has been developed to help undergraduate social science students gain real-world experience by applying their classroom skills in the workplace. The paper also discusses next steps in the global development of data literacy skills via the </span><span class="NormalTextRun SpellingErrorV2 SCXW36119488 BCX8 DefaultHighlightTransition">EmpoderaData</span><span class="NormalTextRun SCXW36119488 BCX8"> project</span><span class="NormalTextRun SCXW36119488 BCX8">,</span><span class="NormalTextRun SCXW36119488 BCX8"> which is trialling the Data Fellows programme in Latin America.</span></span><span class="EOP SCXW36119488 BCX8" data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;</span></p> 2022-09-29T00:00:00-06:00 Copyright (c) 2022 Vanessa Higgins, Jackie Carter https://iassistquarterly.com/index.php/iassist/article/view/1047 Deposit data - including qualitative data - and support students in obtaining the skills for data-driven research 2022-09-29T09:03:05-06:00 Karsten Boye Rasmussen kbr@sam.sdu.dk 2022-09-29T00:00:00-06:00 Copyright (c) 2022 Karsten Boye Rasmussen