https://iassistquarterly.com/index.php/iassist/issue/feed IASSIST Quarterly 2019-10-14T02:26:59-06:00 Karsten Boye Rasmussen editor.iassistquarterly@gmail.com Open Journal Systems <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> https://iassistquarterly.com/index.php/iassist/article/view/965 As open as possible and as closed as needed 2019-10-14T02:26:58-06:00 Karsten Boye Rasmussen editor.iassistquarterly@gmail.com <p>Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019).</p> <p>Yes, we are open! Open data is good. Just a click away. Downloadable 24/7 for everybody. An open government would make the decisionmakers’ data open to the public and the opposition. As an example, communal data on bicycle paths could be open, so more navigation apps would flourish and embed the information in maps, which could suggest more safe bicycle routes. However, as demonstrated by all three articles in this IQ issue, very often research data include information that requires restrictions concerning data access. The second paper states that data should be ‘as open as possible and as closed as needed’. This phrase originates from a European Union Horizon 2020 project called the Open Research Data Pilot, in ‘Guidelines on FAIR Data Management in Horizon 2020’ (July 2016). Some data need to be closed and not freely available. So once more it shows that a simple solution of total openness and one-size-fits-all is not possible. We have to deal with more complicated schemes depending on the content of data. Luckily, experienced people at data institutions are capable of producing adapted solutions.&nbsp;</p> <p>The first article ‘Restricting data’s use: A spectrum of concerns in need of flexible approaches’ describes how data producers have legitimate needs for restricting data access for users. This understanding is quite important as some users might have an automatic objection towards all restrictions on use of data. The authors Dharma Akmon and Susan Jekielek are at ICPSR at the University of Michigan. ICPSR has been the U.S. research archive since 1962, so they have much practice in long-term storage of digital information. From a short-term perspective you might think that their primary task is to get the data in use and thus would be opposed to any kind of access restrictions. However, both producers and custodians of data are very well aware of their responsibility for determining restrictions and access. The caveat concerns the potential harm through disclosure, often exemplified by personal data of identifiable individuals. The article explains how dissemination options differ in where data are accessed and what is required for access. If you are new to IASSIST, the article also gives an excellent short introduction to ICPSR and how this institution guards itself and its users against the hazards of data sharing.</p> <p>In the second article ‘Managing data in cross-institutional projects’, the reader gains insight into how FAIR data usage benefits a cross-institutional project. The starting point for the authors - Zaza Nadja Lee Hansen, Filip Kruse, and Jesper Boserup Thestrup – is the FAIR principles that data should be: findable, accessible, interoperable, and re-useable. The authors state that this implies that the data should be as open as possible. However, as expressed in the ICPSR article above, data should at the same time be as closed as needed. Within the EU, the mention of GDPR (General Data Protection Regulation) will always catch the attention of the economical responsible at any institution because data breaches can now be very severely fined. The authors share their experience with implementation of the FAIR principles with data from several cross-institutional projects. The key is to ensure that from the beginning there is agreement on following the specific guidelines, standards and formats throughout the project. The issues to agree on are, among other things, storage and sharing of data and metadata, responsibilities for updating data, and deciding which data format to use. The benefits of FAIR data usage are summarized, and the article also describes the cross-institutional projects. The authors work as a senior consultant/project manager at the Danish National Archives, senior advisor at The Royal Danish Library, and communications officer at The Royal Danish Library. The cross-institutional projects mentioned here stretch from Kierkegaard’s writings to wind energy.</p> <p>While this issue started by mentioning that ICPSR was founded in 1962, we end with a more recent addition to the archive world, established at Qatar University’s Social and Economic Survey Research Institute (SESRI) in 2017. The paper ‘Data archiving for dissemination within a Gulf nation’ addresses the experience of this new institution in an environment of cultural and political sensitivity. With a positive view you can regard the benefits as expanding. The start is that archive staff get experience concerning policies for data selection, restrictions, security and metadata. This generates benefits and expands to the broader group of research staff where awareness and improvements relate to issues like design, collection and documentation of studies. Furthermore, data sharing can be seen as expanding in the Middle East and North Africa region and generating a general improvement in the relevance and credibility of statistics generated in the region. Again, the FAIR principles of findable, accessible, interoperable, and re-useable are gaining momentum and being adopted by government offices and data collection agencies. In the article, the story of SESRI at Qatar University is described ahead of sections concerning data sharing culture and challenges as well as issues of staff recruitment, architecture and workflow. Many of the observations and considerations in the article will be of value to staff at both older and infant archives. The authors of the paper are the senior researcher and lead archivist at the archive of the Qatar University Brian W. Mandikiana, and Lois Timms-Ferrara and Marc Maynard – CEO and director of technology at Data Independence (Connecticut, USA).&nbsp;</p> <p>Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. 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 https://www.iassistquarterly.com (our Open Journal System application). We permit authors 'deep links' into the IQ 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 IQ 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 IASSIST Quarterly website at https://www.iassistquarterly.com.&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 IQ as guest editor(s) I will also be delighted to hear from you.</p> <p>Karsten Boye Rasmussen - September 2019</p> 2019-09-26T10:04:24-06:00 ##submission.copyrightStatement## https://iassistquarterly.com/index.php/iassist/article/view/941 Restricting data’s use: A spectrum of concerns in need of flexible approaches 2019-10-14T02:26:59-06:00 Dharma Akmon dharmrae@umich.edu Susan Jekielek jekielek@umich.edu <p>As researchers consider making their data available to others, they are concerned with the responsible use of data. As a result, they often seek to place restrictions on secondary use. The Research Connections archive at ICPSR makes available the datasets of dozens of studies related to childcare and early education. Of the 103 studies archived to date, 20 have some restrictions on access. While ICPSR’s data access systems were designed primarily to accommodate public use data (i.e. data without disclosure concerns) and potentially disclosive data, our interactions with depositors reveal a more nuanced notion range of needs for restricting use. Some data present a relatively low risk of threatening participants’ confidentiality, yet the data producers still want to monitor who is accessing the data and how they plan to use them. Other studies contain data with such a high risk of disclosure that their use must be restricted to a virtual data enclave. Still other studies rest on agreements with participants that require continuing oversight of secondary use by data producers, funders, and participants. This paper describes data producers’ range of needs to restrict data access and discusses how systems can better accommodate these needs.</p> 2019-09-25T07:28:19-06:00 ##submission.copyrightStatement## https://iassistquarterly.com/index.php/iassist/article/view/950 Managing data in cross-institutional projects 2019-10-14T02:26:59-06:00 Zaza Nadja Hansen nadlee@gmail.com Filip Kruse fkr@kb.dk Jesper Boserup Thestrup jbt@kb.dk <p>This paper provides guidelines for data management professionals and researchers on how FAIR data usage can help improve the planning, execution and overall success of a cross-institutional project. Cases from Danish cross-institutional projects are detailed to illustrate this point – as well as the lessons learnt with implementing FAIR data principles in such projects. Key learnings from this paper are:</p> <ul> <li>Using FAIR data principles in cross-institutional projects can help manage the data used in the project in terms of knowledge sharing, access rights, use of templates, metadata and further sharing the data after the project has ended.</li> <li>To benefit the most from using FAIR data in a cross-institutional project it should be considered and planned for early in the project process.</li> <li>If FAIR is not considered early in the project process problems can arise such as a lot of time spent on converting formats, obtaining permissions and assigning metadata.</li> <li>It is necessary for researchers and research projects to have infrastructure and other services in place which support FAIR data usage.</li> </ul> 2019-09-25T08:19:25-06:00 ##submission.copyrightStatement## https://iassistquarterly.com/index.php/iassist/article/view/943 Data archiving for dissemination within a Gulf nation 2019-10-14T02:26:58-06:00 Brian Washington Mandikiana bmandikiana@qu.edu.qa Lois Timms-Ferrara Lois@dataindependencenow.com Marc Maynard marc@dataindependencenow.com <p>Since 2008, Qatar University’s Social and Economic Survey Research Institute (SESRI), has been collecting nationally representative survey data on social and economic issues. In 2017, SESRI leadership established an Archiving Unit tasked with data preservation and dissemination both for internal purposes and with the intent of disseminating select data to the public for secondary analysis.</p> <p>&nbsp;</p> <p>This paper reviews the lessons learned from creating a data archive in an emerging economy where both cultural and political sensitivities exist amid varied groups of stakeholders.&nbsp; Challenges have included recruiting trained personnel, developing policies for data selection and workflow objectives, processing restricted and non-restricted datasets and metadata, data security issues, and promoting usage. Additionally, there is hope that the presence of the Archiving Unit adds value for other SESRI research staff involved in the design, collection, documentation, and processing of studies. After successfully addressing these challenges over the past year, the Archive met its objective to launch a data center at the Institute’s website (http://sesri.qu.edu.qa) and to make multiple datasets available for public download from it. Also, to be discussed are the tools, processes and leveraging of resources that are being implemented as the archiving process continues to evolve.</p> 2019-09-25T09:21:42-06:00 ##submission.copyrightStatement##