Authors : Dessi Kirilova, Sebastian Karcher
While data sharing is becoming increasingly common in quantitative social inquiry, qualitative data are rarely shared. One factor inhibiting data sharing is a concern about human participant protections and privacy.
Protecting the confidentiality and safety of research participants is a concern for both quantitative and qualitative researchers, but it raises specific concerns within the epistemic context of qualitative research.
Thus, the applicability of emerging protection models from the quantitative realm must be carefully evaluated for application to the qualitative realm. At the same time, qualitative scholars already employ a variety of strategies for human-participant protection implicitly or informally during the research process.
In this practice paper, we assess available strategies for protecting human participants and how they can be deployed. We describe a spectrum of possible data management options, such as de-identification and applying access controls, including some already employed by the Qualitative Data Repository (QDR) in tandem with its pilot depositors.
Throughout the discussion, we consider the tension between modifying data or restricting access to them, and retaining their analytic value.
We argue that developing explicit guidelines for sharing qualitative data generated through interaction with humans will allow scholars to address privacy concerns and increase the secondary use of their data.
URL : Rethinking Data Sharing and Human Participant Protection in Social Science Research: Applications from the Qualitative Realm
DOI : http://doi.org/10.5334/dsj-2017-043
Author : Frank Andreas Sposito
Data curation is often defined as the practice of maintaining, preserving, and enhancing research data for long-term value and reusability. The role of data reuse in the data curation lifecycle is critical: increased reuse is the core justification for the often sizable expenditures necessary to build data management infrastructures and user services.
Yet recent studies have shown that data are being shared and reused through open data repositories at much lower levels than expected. These studies underscore a fundamental and often overlooked challenge in research data management that invites deeper examination of the roles and responsibilities of data curators.
This presentation will identify key barriers to data reuse, data quality and user trust, and propose a framework for implementing reuser-centric strategies to increase data reuse.
Using the concept of a « data reuse plan » it will highlight repository-based approaches to improve data quality and user trust, and address critical areas for innovation for data curators working in the absence of repository support.
URL : What do data curators care about? Data quality, user trust, and the data reuse plan
Alternative location : http://library.ifla.org/id/eprint/1797
Authors : Monika Linne, Wolfgang Zenk-Möltgen
In the German social and economic sciences there is a growing awareness of flexible data distribution and research data reuse, especially as increasing numbers of research funders recommend publishing research data as the basis for scientific insight.
However, a data-sharing mentality has not yet been established in Germany attributable to researchers’ strong reservations about publishing their data.
This attitude is exacerbated by the fact that, at present, there is no trusted national data sharing repository that covers the particular requirements of institutions regarding research data.
This article discusses how this objective can be achieved with the project initiative SowiDataNet.
The development of a community-driven data repository is a logically consistent and important step towards an attitude shift concerning data sharing in the social and economic sciences.
DOI : http://doi.org/10.18352/lq.10195
Authors : Andrew M. Cox, Mary Anne Kennan, Liz Lyon, Stephen Pinfield
This paper reports an international study of research data management (RDM) activities, services and capabilities in higher education libraries. It presents the results of a survey covering higher education libraries in Australia, Canada, Germany, Ireland, the Netherlands, New Zealand and the UK.
The results indicate that libraries have provided leadership in RDM, particularly in advocacy and policy development. Service development is still limited, focused especially on advisory and consultancy services (such as data management planning support and data-related training), rather than technical services (such as provision of a data catalogue, and curation of active data).
Data curation skills development is underway in libraries, but skills and capabilities are not consistently in place and remain a concern. Other major challenges include resourcing, working with other support services, and achieving ‘buy in’ from researchers and senior managers.
Results are compared with previous studies in order to assess trends and relative maturity levels. The range of RDM activities explored in this study are positioned on a ‘landscape maturity model’, which reflects current and planned research data services and practice in academic libraries, representing a ‘snapshot’ of current developments and a baseline for future research.
URL : http://eprints.whiterose.ac.uk/101389/
It can be argued that institutional repositories have not had the impact (Lynch 2003; Salo 2008), initially expected, on academic scholarly communications (the exception being in a few well-developed and successful instances).
So why should data repositories expect to fare any better? First, data repositories can learn from publication repositories’ experiences and their efforts to engage researchers to accept and use these new institutional services.
Second, they provide a technical infrastructure for storing and sharing data with the potential for providing access to complimentary research support facilities. Finally, due to the interdisciplinary expertise required to develop and maintain such systems, stronger ties will be forged between libraries, information and computing services, and researchers.
This will assist innovation and help to make them sustainable and embedded within academic institutional policy.
This paper, while aware of the diverse nature of institutional and departmental practices, aims to highlight a number of initiatives in the Universities of Edinburgh and Oxford, showing how research data repository infrastructures can be effectively realized through collaboration and sharing of expertise.
We argue that by employing agile community, strategic and policy judgment, a robust data repository infrastructure will be part of an integrated solution to effectively manage institutional research data assets. »
DOI : http://dx.doi.org/10.1080/13614533.2010.505823