IASSIST Quarterly https://www.iassistquarterly.com/index.php/iassist <p class="p1">The <strong>IASSIST Quarterly</strong> at https://iassistquarterly.com is a 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&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> editor.iassistquarterly@gmail.com (Karsten Boye Rasmussen) michele_hayslett@unc.edu (Michele Hayslett, Managing Editor) Wed, 23 Sep 2020 14:19:48 -0600 OJS http://blogs.law.harvard.edu/tech/rss 60 Standards and scoring to increase transparency for archived public opinion data https://www.iassistquarterly.com/index.php/iassist/article/view/974 <p>Faced with increased diversification of methodologies in the polling industry, the Roper Center for Public Opinion Research Center is embarking on a major initiative aimed at increasing methodological transparency across the field of public opinion survey research by increasing minimum disclosure requirements and providing users with transparency scoring for new submissions to the archive.</p> <p>Roper Center, the world’s largest archive of public opinion survey data, has long enforced disclosure requirements for archival submissions based on transparency standards developed by professional organizations in the polling industry, particularly the American Association for Public Opinion Research (AAPOR). Roper Center’s new requirements and scoring mechanism expand longstanding policies and procedures to better meet the challenges of today’s research environment.<br />In this paper, Roper Center’s new standards will be described in the context of the historical development of transparency expectations in the polling community. The paper presentation will also detail the implementation process, providing an account of how standards were translated into actionable DDI-based metadata to drive an automatic scoring system, how new workflows were developed with input from data providers to facilitate maximum disclosure, and how the display of the user interface was designed to ensure the transparency information can be easily viewed and understood.</p> Kathleen Weldon Copyright (c) 2020 Kathleen Weldon http://creativecommons.org/licenses/by-nc/4.0 https://www.iassistquarterly.com/index.php/iassist/article/view/974 Wed, 23 Sep 2020 00:00:00 -0600 Capturing their “first” dataset: A graduate course to walk PhD students through the curation of their dissertation data https://www.iassistquarterly.com/index.php/iassist/article/view/971 <p>The data set accompanying theses is a valuable intellectual property asset, both from the viewpoint of the PhD student, who can procure employment and build publications and research grants from the work for years to come, and the university, which owns the data and has invested in the work. However, the data set has generally not been captured as a finished product in a similar manner to the published thesis. A course has been developed which walks PhD students through the process of identifying an archival data set, selecting a repository or long term storage location, creating metadata and documentation for the data package, and the deposit process. A pre- and post assessment has been designed to ascertain the level of data literacy the students gain through curating their own dataset. PIs for the projects have input into the repositories and metadata standards selected.&nbsp; The university thesis office was consulted as the course was developed, so that accurate procedures and practices are reflected throughout the course. This first of a kind class is open to students of any discipline at a Research-1 university. The resulting mixture of data types creates a unique course every time it is offered.</p> Megan Sapp Nelson, Ningning Nicole Kong Copyright (c) 2020 Megan Sapp Nelson, Ningning Nicole Kong http://creativecommons.org/licenses/by-nc/4.0 https://www.iassistquarterly.com/index.php/iassist/article/view/971 Wed, 23 Sep 2020 00:00:00 -0600 The matter of meta in research data management: Introducing the CESSDA Metadata Office Project https://www.iassistquarterly.com/index.php/iassist/article/view/970 <p>Accompanying the growing importance of research data management, the provision and maintenance of metadata – understood as data about (research) data – have obtained a key role in contextualizing, understanding, and preserving research data. Acknowledging the importance of metadata in the social sciences, the Consortium of European Social Science Data Archives started the Metadata Office project in 2019. This project report presents the various activities of the Metadata Office (MDO). Metadata models, schema, controlled vocabularies and thesauri are covered, including the MDO’s collaboration with the DDI Alliance on multilingual translations of DDI vocabularies for CESSDA Service Providers. The report also summarizes the communication, training and advice provided by MDO, including DDI use across CESSDA, illustrates the impact of the project for the social science and research data management community, and offers an outline regarding future plans of the project.</p> André Förster, Kerrin Borschewski, Sharon Bolton, Taina Jääskeläinen Copyright (c) 2020 André Förster, Kerrin Borschewski, Sharon Bolton, Taina Jääskeläinen http://creativecommons.org/licenses/by-nc/4.0 https://www.iassistquarterly.com/index.php/iassist/article/view/970 Wed, 23 Sep 2020 00:00:00 -0600 Knowing what to do and how to do it: High transparency and careful curation of data and metadata https://www.iassistquarterly.com/index.php/iassist/article/view/984 <p>Welcome to the third issue of volume 44 of the <em>IASSIST Quarterly</em> (<em>IQ</em> 44(3) 2020).&nbsp;</p> <p>Transparency is a prerequisite for valid analysis of data. Full disclosure of all aspects of the creation process is necessary for the evaluation of a data collection. The Roper Center has collaborated, assembled and developed standards, and performed scoring of datasets to facilitate the evaluation of data.&nbsp; It is easy to say that all aspects of data collection are important, but with more knowledge about the process of data curation PhD students become aware of how it is important for their research. The CESSDA Metadata Office is a tool supporting the realization of high transparency and successful research data management. This is an extremely short overview of the three submissions found in this issue, below a little more information, and finally enjoy the articles.</p> <p>&nbsp;</p> <p>The first paper in this issue is first for a reason. 'Standards and Scoring to Increase Transparency for Archived Public Opinion Data' by Kathleen J. Weldon won first prize among the papers submitted for the IASSIST 2019 conference. You do remember IASSIST conferences, I hope. Annual conferences have been regular as clockwork, but due to COVID-19 the 2020 conference in Göteborg, Sweden, is postponed to April 7–9, 2021. &nbsp;See more at <a href="https://www.iassist2021.org/">https://www.iassist2021.org/</a>.&nbsp;</p> <p>&nbsp;</p> <p>Kathleen J. Weldon is the Director of Data Operations and Communications at the Roper Center for Public Opinion Research, Cornell University – the world’s largest archive of public opinion survey data. New standards for archiving data at Roper Center are described in the paper in the context of their historical development. What is now termed ‘transparency’ was an early commitment by George Gallup to 'full disclosure of methods, sponsorship, and data'. After some years, standards were adopted by professional organizations. At the Roper Center, submissions have long been evaluated in order to preserve ‘the best of its time’ polling. However, with new technologies new survey methods were used without a consensus of best practices. This led to the development of standards by the National Council on Public Polls (NCPP) and the American Association for Public Opinion Research (AAPOR). The new standards are the basis for Roper Center developing a system for scoring transparency. It is the author's hope and expectation that the future will bring an increase in the preservation of well-documented polling datasets.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Many PhD students produce data collections or compile and use archival data for their thesis. At Purdue University, a School of Information Studies course was developed for PhD students covering topics such as identifying an archival data set, creating metadata and documentation, selecting an appropriate long-term storage location, and planning for the deposit process. The paper 'Capturing their “first” dataset: A graduate course to walk PhD students through the curation of their dissertation data' describes the background, the development, and the content and structure of the course, and concludes with assessments and the insights gained for the library. Naturally some practical issues evolved through the pilot course; specifically, the broad spectrum of disciplines in PhD projects demands much customization of the course curricula. The authors Megan Sapp Nelson and Ningning Nicole Kong are respectively professor and associate professor of Library Science at Purdue University Libraries. The course was established by request from PhD advisors, who found that datasets were valuable outputs not being captured in the thesis deposit process. This course also meets the demand for data management skills in the job market.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>GESIS Leibniz Institute for the Social Sciences in Germany and the UK Data Archive are leading the CESSDA Metadata Office project. The Metadata Office covers several areas such as metadata models, schemas, profiles, controlled vocabularies, and thesauri. The paper 'The matter of meta in research data management: Introducing the CESSDA Metadata Office Project' reports on the project. CESSDA stands for Consortium of European Social Science Data Archives, and with the many European languages it follows that language issues are the focus. The project builds upon DDI (Data Documentation Initiative) and also includes collaboration with the DDI Alliance on translations of DDI vocabularies through the use of ISO language tags in metadata and controlled vocabularies; this is exemplified in some screen shots. The paper also presents the information covered in the CESSDA Metadata Model and some examples of the characteristics of elements of the model. The authors are all participants in the project; André Förster and Kerrin Borschewski as consecutive heads of the project at GESIS, Sharon Bolton as head of the project at UK Data Service, and Taina Jääskeläinen at the Finnish Social Science Data Archive.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Submissions of papers for the <em>IASSIST Quarterly</em> are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the <em>IQ</em>. When you are preparing such a presentation, give a thought to turning your one-time presentation into a lasting contribution. Doing that after the event also gives you the opportunity of improving your work after feedback. We encourage you to login or create an author login to <a href="https://www.iassistquarterly.com">https://www.iassistquarterly.com</a> (our Open Journal System application). We permit authors 'deep links' into the <em>IQ</em> as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue <em>IQ</em> is also much appreciated as the information reaches many more people than the limited number of session participants and will be readily available on the <em>IASSIST Quarterly</em> website at <a href="https://www.iassistquarterly.com">https://www.iassistquarterly.com</a>. &nbsp;Authors are very welcome to take a look at the instructions and layout:</p> <p><a href="https://www.iassistquarterly.com/index.php/iassist/about/submissions">https://www.iassistquarterly.com/index.php/iassist/about/submissions</a></p> <p>Authors can also contact me directly via e-mail: <a href="mailto:kbr@sam.sdu.dk">kbr@sam.sdu.dk</a>. Should you be interested in compiling a special issue for the <em>IQ</em> as guest editor(s) I will also be delighted to hear from you.</p> <p>Karsten Boye Rasmussen - September 2020</p> Karsten Rasmussen Copyright (c) 2020 Karsten Rasmussen http://creativecommons.org/licenses/by-nc/4.0 https://www.iassistquarterly.com/index.php/iassist/article/view/984 Wed, 23 Sep 2020 00:00:00 -0600