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Conference Presentations 2016

  • IASSIST 2016-Embracing the 'Data Revolution': Opportunities and challenges for research, Bergen
    Host Institution: NSD - Norwegian Centre for Research Data

Pecha Kuchas (Fri, 2016-06-03)
Chair:Jennifer Doty

  • Sex, Drugs, Rock 'n Roll, and Social Science Research Data: New Data Collection Additions to the ICPSR Data Archive
    Justin Noble (ICPSR, University of Michigan)


    Sex, drugs, and rock 'n roll are not only attention-getting topics, but are areas in which valuable research data have been collected and are being shared through ICPSR and other data repositories. This presentation promotes recently released studies available through ICPSR on sexual behavior and drug abuse as well as highlights data available at ICPSR's National Archive of Data on Arts & Culture.

1E: Policies and trust (Fri, 2016-06-03)
Chair:Wendy Thomas

  • Core Certification: New Common Requirements for Trustworthy Digital Repositories
    Ingrid Dillo (DANS)


    If we want to be able to share data, we need to store them in a trustworthy digital repository. Data created and used by scientists should be managed, curated, and archived in such a way to preserve the initial investment in collecting them. Researchers must be certain that data held in archives remain useful and meaningful into the future. Funding authorities increasingly require continued access to data produced by the projects they fund, and have made this an important element in Data Management Plans.
    Nowadays certification standards for data repositories are available at different levels, from a core level to extended and formal levels. Even at the basic level, certification offers many benefits to a repository and its stakeholders.
    Core certification involves a minimally intensive process whereby digital repositories supply evidence that they are sustainable and trustworthy. Both the Data Seal of Approval as well as the ICSU/World Data System offer a basic certification standard.
    Within the framework of the Research Data Alliance these two communities have now created a new set of harmonized Common Requirements for certification of repositories at the basic level, drawing from their respective criteria. In this presentation these new common requirements, that will replace the existing ones in the course of 2016, will be presented.

  • Preservation Policy Recommendations - Results from DASISH and CESSDA SaW
    Trond Kvamme (Norwegian Social Science Data Service (NSD))


    Clear and explicit policies play a vital role in sustaining long-term preservation and accessibility of research data. A well-defined policy framework establishes a platform of trust between stakeholders involved in the funding, creation, preservation and dissemination of research outputs. A transparent set of policies support internal data curation procedures and ensures accountability and allow for external quality control. This strengthens the trust between archive service providers, funders and researchers.
    In the DASISH project (2012-2014) a selection of guidelines and recommendations for the articulation of preservation policies were described and compared, mapping the current scope and content of policies and procedures, particularly in the SSH domain.
    Building on the work in DASISH, the H2020 INFRADEV-project CESSDA SaW will provide high-level guidance in setting up and preparing a preservation policy framework for research data services. The aim is to provide a resource and a template that can assist well-established and new/developing data archives to prepare, articulate and upgrade their policy framework.
    This presentation will describe the policy template that is currently being developed in CESSDA SaW and how it is interrelated with the policy recommendations from the DASISH project.

  • Integrating Data Reusers' Defined Trust Attributes Regarding Data Curation
    Ayoung Yoon (Purdue University)


    This presentation will discuss how data reusers define trust attributes of data from their reuse experiences and how these trust attributes can be integrated into data curation and management practices. Understanding data reusers' perspectives and expectations is important to enhance data reusability and support current and future use, which are the fundamental purposes of data curation. Trust is a useful concept to apply in order to understand data reusers' thoughts, experiences, and needs, as the concept of trust is woven into the life cycle of data from the creation, preparation, and management of data to sharing, reuse and preservation and into the relations with parties involved in this life cycle.
    Assessing data for its trustworthiness becomes important for data reusers with the growth in data creation because of the lack of standards for ensuring data quality and the potential harm from using poor-quality data. Despite the importance of data reusers' trust in data, trust judgment is not a simple task for data reusers and the process of judging trust involves various social, individual, and institutional factors. Exploring many facets of data reusers' trust in data generated by other researchers and reuser-defined trust attributes will provide insights on how to improve current data curation activities in a user-trusted way, such as methods that ensure users’ trustworthiness during data curation and developing user evaluation criteria for the trustworthiness of data.
    This study identifies a total of 11 trust attributes from among qualitative interview studies with 38 quantitative social science data reusers in the United States, which reflect current practices of data reuse and suggest various implications for data curation. Trust attributes discussed from previous trust literature are also adopted or modified in the context of data reuse.

2A: Research data management services development (Fri, 2016-06-03)
Chair:Laurence Horton

  • Partnering with Researchers by Supporting Data Management Planning
    Anne Sofie Fink (National Archive of Denmark - DDA)
    Christian Lindgaard (National Archive of Denmark - DDA)


    In Denmark as in many other countries data management planning is becoming inevitable for research projects. DM plans are required by both funders and institutions. Most significantly DMP is carried forward by EU's Horizon2020 framework.

    In this presentation We will outline the new research landscape where DMP will have a significant impact seen from a national and European perspective. In Denmark the most remarkable events has been the establishment of a National Forum for Data Management and a cross national case-based project on data management in practise.

    As experts in data documentation there is an important role for us to play in supporting researchers in producing data management plans. However, researchers and research infrastructures might not be aware of the expertise for DMP found in social science data archives.

    The challenge is to be able to communicate our knowledge about data documentation to researchers both on a conceptual level (the research project) and on a detailed level (data production). We will make suggestions for strategies for communication and corporation that visualises to researchers and institutions, how our expertise adds value to data management planning on both levels.

    Additionally DDI (Data Documentation Initiative) must be among our offerings for DMP for research projects.

  • From Evidence to Strategies to Support Researchers' Needs for Research Data Use, Management and Sharing
    Susan Mowers (University of Ottawa)
    Chuck Humphrey (Portage Network, CARL)


    Evidence of RDM needs and practices of researchers from all disciplines at one larger Canadian university was gathered in 2013. This paper reports on the survey results from 250 respondents around data use, sharing, and management, as well as the researchers' research practices and goes on to discuss the impact on planning for policies, guidelines, services, and infrastructure. Major themes are collaboration, sensitive data, differences across research methods and disciplines, as well as incentives for researchers to improve data use, management and sharing in their fields.

  • Research Data Management: A Practical Approach to Overcome Challenges to Boost Research
    Bhojaraju Gunjal (National Institute of Technology, Rourkela)
    Panorea Gaitanou (Ionia University)


    The advent of new technologies along with the development of several Research Data Management (RDM) tools has led to a great revolution in the automation and digitization in libraries which aim to provide innovative added value services to their patrons. At the same time, the adoption of various policy frameworks for managing the data and workflow systems along with other Knowledge Organisation Systems such as metadata, taxonomies, ontologies etc. that enable the interoperability of research data and enhance information retrieval, pose challenges to the information professionals within the library context. The importance of RDM is increasingly recognized from several organizations and institutions around the world, as it plays a crucial role in the documentation, curation and preservation of research data. Therefore, it is natural that libraries can be considered as a critical stakeholder in the RDM landscape. Their role is highly related to the following: RDM policy development, advocacy and awareness, patrons training, advisory services, data repository development etc.

    The paper will first present a brief overview of RDM and a detailed literature review regarding the RDM aspects adopted in libraries globally. It will also describe several tendencies concerning the management of repository tools for research data, as well as the challenges in implementing the RDM. The proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An attempt will be also made to present the suitable policies and workflows along with the adoption of best practices in RDM, so as to boost the research process in an organisation. This study will showcase the implementation & use of RDM and the processes adopted at the Central Library at NIT Rourkela, India.

  • From Evidence to Strategies: Needs for Research Data Use, Management and Sharing in Canada
    Susan Mowers (University of Ottawa)
    Chuck Humphrey (Canadian Association of Research Libraries (CARL))


    Evidence of RDM needs and practices of researchers from all disciplines at one larger Canadian university was gathered in 2013. This paper reports on the survey results from 250 respondents around data use, sharing, and management, as well as the researchers' research practices and goes on to discuss the impact on planning for policies, guidelines, services, and infrastructure. Major themes are collaboration, sensitive data, differences across research methods and disciplines, as well as incentives for researchers to improve data use, management and sharing in their fields.


3B: Disclosure techniques for restricted data (Fri, 2016-06-03)
Chair:Laine Ruus

  • RAIRD - A fully interactive online statistical package for remote analysis of confidential microdata
    Ornulf Risnes (Norwegian Social Science Data Service (NSD))


    RAIRD (Remote Access Infrastructure for Register Data) is a web-based system for confidential research on full population event data (spell-data) from a set of Norwegian administrative registers. RAIRD is currently under development and testing, and will move into production in 2017. RAIRD takes advantage of technological opportunities and improvements in the DDI-standard, and enables advanced statistical functionality through a fully interactive web interface. Researchers interact with data through a privacy preservation layer, and can explore, transform and analyze data almost as if the data were stored locally. The microdata however never leave the safe environment on the server-side, and all directly or indirectly disclosive information is removed from the outputs before they are returned to the researchers.

    The ambition of RAIRD is to develop a fully interacte and highly performant and scalable platform that can help the research community utilize the register data more easily than currently possible. Ideas from the DDI Moving Forward have enabled RAIRD to develop funcitonal and robust metadata models suitable for event-histories and other complex register data. This presentation will give an overview of the solutions in RAIRD, how we preserve privacy and the impact from the DDI Moving Forward process

  • SDCMicroGUI - a R-based GUI tool for statistical disclosure control
    Archana Bidargaddi (Norwegian Social Science Data Service (NSD))


    The responsibilities of public data owning institutions such as National Statistical Institutions and other government departments, are not only to archive data but also to disseminate data and enable its reuse without compromising on privacy. Hence, these institutions have need to publish/deliver trusted, high quality microdata primarily aimed at either scientific use or public use. These outputs have to be as detailed as possible, primarily if they are meant for scientific use, to meet the the objective of providing rich statistical information. However, this objective conflicts with the obligation the institutions have to protect the confidentiality of the information collected as part of surveys and/or other administrative activities.

    Statistical Disclosure Control (SDC) seeks to protect statistical data in such a way that they can be released without giving away confidential information that can be linked to specific individuals or entities. Even though there is enough information and guidelines on performing SDC there is a lack of tools to enable one to perform SDC in an effective way. Most institutions perform anonymization of the data they deliver manually. This manual anonymisation process is often quite challenging, cumbersome and time consuming needing high level of expertise and often with no repeatability or traceability.

    This talk will present SDCMicroGUI - a tool for Statistical Disclosure Control. The free-GPL licensed R-based sdcMicroGUI tool allows users to perform common anonymization methods along with supporting estimation of disclosure risks and calculating of data utility post anonymisation on micro-datasets through easy-to-use, highly interactive, menu-based operations. SDCMicroGUI was developed by IHSN and is based on the R-package sdcMicro, which is also developed by IHSN. In a project initiated by UKDA, NSD enhanced the existing SDCMicroGUI to further improve its user-interface/layout and to add more UI functionalities. Today we present the modified version of the SDCMicroGUI.

  • IASSIST Quarterly

    Publications Special issue: A pioneer data librarian
    Welcome to the special volume of the IASSIST Quarterly (IQ (37):1-4, 2013). This special issue started as exchange of ideas between Libbie Stephenson and Margaret Adams to collect


  • Resources


    A space for IASSIST members to share professional resources useful to them in their daily work. Also the IASSIST Jobs Repository for an archive of data-related position descriptions. more...

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