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• Panel:
• Arofan Gregory
• Joachim Wackerow
• Wendy Thomas
• Barry Radler
• Dan Gillman
• Mary Vardigan
• Jay Greenfield

• Abstract: The future development of the DDI metadata standard will be based on an information model. This is a common strategy for standards development and it offers several benefits, including improved communication with other disciplines and standards, flexibility in terms of technical expressions of the model, and streamlined development and maintenance.   This new model for DDI is being developed through the project "DDI Moving Forward", running from 2013 through 2015. Virtual teams from around the globe have been developing the model content, technical production systems and documentation, complemented by a series of face to face sprints.  The purpose of this session will be to provide an overview of the current state of the Forward project. The session will include: (1) an introduction to the project, including the organisation of the modelling framework, bindings and production process; (2) an overview of the major content areas developed so far, including Conceptual Objects, Data Description, Data Capture (for surveys and other measurement instruments), Simple Codebook, and Discovery; (3) the proposed new DDI process model; and (4) an overview of future activities for the Moving Forward project. The session will conclude with an open panel discussion with presenters and the audience in a question and answer format.

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RDM Meets Open Access

• Presenter: Katherine McNeill, MIT Libraries
• Abstract: One method to reduce the digital divide internationally is to increase open access to data and publications for wider use.  Many institutions work to help their researchers make their results publicly-accessible, but historically services enabling open access to data vs. publications often have been provided separately.  What synergies exist between institutional services for research data management and those for scholarly publishing/open access to publications?  How do issues coincide or differ when providing open access to data vs. publications?  How might universities address open access in a more holistic manner and unify outreach to researchers?  This presentation will describe new efforts in the MIT Libraries of formal collaborations between the groups which provide services for research data management and those for scholarly publishing.  Discussions will cover collaborations in areas such as: strategic planning, supporting compliance with funder requirements for open access to data and publications, outreach, repository services, linking data and publications, organizational models, and more.

Partnerships in a Data Management Village: Exploring how research and library services can work together

• Presenters: Alicia Hofelich Mohr, Thomas Lindsay, and Lisa Johnston, University of Minnesota
• Abstract: Providing data management services is a task that takes a village; a distributed model of support, involving collaboration among diverse institutional offices, is needed to do it well. Researchers especially benefit when specialized institutional support offices are aware of other relevant providers and the impact their services have on the management of data across the research life cycle. However, once a village is assembled, how do we work with members to be committed collaborators, rather than a passive referral network? In this presentation, we will describe a case study of our in-depth collaboration between the University Libraries and the College of Liberal Arts (CLA) at the University of Minnesota. Both groups are developing new suites of data management services to meet evolving researcher needs and rising demands for data management support. Working together has provided many advantages for sharing resources and knowledge, but also has presented challenges, including how to define the respective roles of college-level and university-wide data management services, and how formalized collaborations may work. We will describe these challenges and how the collective and complementary skills of our offices will provide researchers with support across much larger portions of the research life cycle than either office could provide alone.

Data management on a shoestring budget

• Presenter: Carol Perry, University of Guelph
• Abstract: Providing data management services at a university with limited resources can be a daunting challenge. With a little ingenuity, a fairly comprehensive data service can be established scaled to the available resources. At the University of Guelph we have utilized resources and expertise available through the greater data community to build our service over a four year period.  Now, as we await the Canadian Tri-Council [Granting] Agencies' new open access policy to be implemented, the service we have built will be put to the test in earnest as researchers prepare for new data management planning requirements. This presentation will review the processes and practices we established as we built our service from scratch. We will address the challenges and the successes encountered along the way and examine the challenges we face moving forward.

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• Panel:
• George Alter (ICPSR)
• Lynn Woolfrey (DataFirst)
• Samuel Kobina Annim (University of Cape Coast, Ghana)
• William C. Block (Cornell Institute for Social and Economic Research)

• Abstract: Research organizations and universities across the globe show increasing desire to disseminate and archive research data, although they often lack the training and resources to begin. This session will present case studies in training and collaboration between archives (the Inter-university Consortium for Political and Social Research (ICPSR), DataFirst, the Cornell Institute for Social and Economic Research (CISER)) and African universities (the University of Cape Coast (Ghana), IFORD (Cameroon)). Experiences from the case studies point to the need to understand the country context and sequence of needs in relation to resources.

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• Panel:
• Donna Dosman (Statistics Canada (StatCan)) 
• David Price (Statistics Canada (StatCan))
• Atle Alvheim (Norwegian Social Science Data Services)
• Ørnulf Risnes (Norwegian Social Science Data Services)
• Amadou Gaye (University of Bristol)
• Vincent Ferretti (Ontario Institute for Cancer Research)

• Abstract: Within this session four remote data processing systems are presented. Thereby different benefits, depending on the regarding implementation, of such solutions are highlighted. Finally possible developments will be discussed. The presented systems are: The job submission system of the Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB) that provides access to highly detailed labour market data. RAIRD, a web-based system for confidential research on full population event data from a set of Norwegian administrative registers. The RAIRD platform supports on-the-fly import (and conversion) of event data into a disclosure-limiting web based statistical package for remote data processing and analysis. The Real Time Remote Access program at Statistics Canada which uses technology to enable fast, on-line access to detailed microdata for researchers through a balance of controlling the risk of disclosure (automation of confidentiality rules) and managing the risk of disclosure (contracts with individuals and institutions). DataSHIELD a novel solution that allows for an analyst to perform pooled analyses of data held at different locations without ever seeing the microdata or transferring them to his computer (i.e. the data remain at their original location under the control of the data owner).

• Panel:
• Elizabeth Quigley (Harvard University)
• Jonathan Crabtree (University of North Carolina)
• Zhang Jilong and Yin Shenqin (Fudan University)
• Alex Garnett (Public Knowledge Project, Simon Fraser University)
• Amber Leahy (Scholars Portal)
• Marion Wittenberg (Data Archiving and Networked Services (DANS))
• Charles (Chuck) Humphrey (University of Alberta Libraries)

• Abstract: Since 2006, Dataverse, an open source data repository framework, is used at multiple institutions around the world to share, find, cite, and preserve research data. The Dataverse is for all, including individual researchers who need to make their datasets accessible to others, archives that need a framework to store and disseminate their data, academic institutions that need a repository to retain the data from their researchers, and publishers that need a public repository to make data accompanying a publication accessible to all. Some of these groups use public Dataverse repositories (such as the Harvard Dataverse and ODUM Dataverse), and some install the Dataverse software to be used only for their organization or institution (such as the Dutch Dataverse or Fudan University Dataverse). Members of the Dataverse Community will present on the following; an overview of the usability focused redesign of Dataverse for version 4.0; internationalization of Dataverse in China’s Fudan University; geospatial features and enhancements used by the University of Alberta in Canada; the Dataverse for Data Preservation Alliance for the Social Sciences (Data-PASS) and the ODUM Dataverse; the Open Journal System’s integration with Dataverse; Scholars Portal current Dataverse initiatives; and the Dutch Dataverse for Universities in the Netherlands.

• Elizabeth Quigley: Usability Testing Driven Redesign of Dataverse
• Jonathan Crabtree: Dataverse at ODUM University and Dataverse and DataPass
• Zhang Jilong and Yin Shenqin: Dataverse in China: internationalization, curation and promotion
• Alex Garnett: Dataverse and Open Journal Systems -- A Readymade Solution for Linking Article and Research Data
• Amber Leahy: Scholars Portal Dataverse: current initiatives
• Marion Wittenberg: Dutch Dataverse Network, a service in the Netherlands for data during research
• Charles (Chuck) Humphrey: Dataverse at the University of Alberta

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