People

Christine Borgman

Christine Borgman

Professor and Presidential Chair in Information Studies at UCLA

Keynote Speaker

Dataverse in the Universe of Data: Data repositories are much more than "black boxes" where data go in but may never come out. Rather, they are situated in communities, with contributors, users, reusers, and repository staff who may engage actively or passively with participants. This talk will explore the roles that Dataverse plays – or could play – in individual communities. 

Dataverse in the Universe of Data by Christine L. Borgman

Richard Ball

Richard Ball

Associate Professor of Economics at Haverford College

Session 3 Lightning Talk: Project TIER Dataverse

Richard Ball and Norm Medeiros will demonstrate how Dataverse is used within their Project TIER (Teaching Integrity in Empirical Economics) initiative to organize and showcase student work for transparency and reproducibility.  Richard and Norm will discuss the prospect of extending Dataverse to serve as a resource for the Project TIER network of institutions and instructors.

The Project TIER Dataverse: Archiving and Sharing Replicable Student Research by Richard Ball and Norm Medeiros

Michael Bar-sinai

Michael Bar-sinai

Fellow at IQSS, Harvard University

Session 4 Sharing Privacy Sensitive Data: DataTags

The DataTags framework makes it easy for data producers to deposit, data publishers to store and distribute, and data users to access and use datasets containing confidential information, in a standardized and responsible way. The talk will first introduce the concepts and tools behind DataTags, and then focus on the user-facing component of the system - Tagging Server (available today at datatags.org). We will conclude by describing how future versions of Dataverse will use DataTags to automatically handle sensitive datasets, that can only be shared under some restrictions.

DataTags: Sharing Privacy Sensitive Data by Michael Bar-sinai

Allan Bell

Allan Bell

Associate University Librarian, Digital Programs and Services, Digital Initiatives at the University of British Columbia

Session 1: Preservation Tools: Integration with Archivematica 

Scholars Portal, a program of the Ontario Council of University Libraries (OCUL), provides the technical infrastructure to store, preserve, and provide access to shared digital library collections in Ontario - including hosting a local instance of Dataverse since 2011. As part of a national project known as Portage (a project of the Canadian Association of Research Libraries), Scholars Portal is partnering with Artefactual Systems, Dataverse, the University of British Columbia, the University of Alberta, and others, to integrate Dataverse with preservation software Archivematica. When completed, this project will facilitate the long-term preservation of research data according to the Open Archival Information System (OAIS) Reference Model.

Preservation of Research Data: Dataverse / Archivematica Integration by Allan Bell and Leanne Trimble

Thu-Mai Christian

Thu-Mai Christian

Research Project Coordinator at the Odum Institute at UNC Chapel Hill

Session 1: Metadata & Data Curation Services

The Odum Institute was an early adopter of the Dataverse Network™ (DVN) virtual archive platform, transferring all of its holdings to the Virtual Data Center (VDC), the DVN’s precursor, in 2005.  This presentation will illustrate the Odum Institute Data Archive’s integration of the Dataverse Network™ into its current data curation pipeline process and discuss the Dataverse Network’s role in the Institute’s tiered levels of data curation services.

Metadata & Data Curation Services by Thu-Mai Christian

Tim Clark

Tim Clark

Assistant Professor of Neurology at Harvard Medical School
Director of Informatics, MassGeneral Institute for Neurodegenerative Disease

Pre-Meeting Workshop: Data Citation Implementation Guidelines

This talk presents a set of detailed technical recommendations for operationalizing the Joint Declaration of Data Citation Principles (JDDCP) - the most widely agreed set of principle-based recommendations for direct scholarly data citation. 

We will provide initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data. 

We hope that these recommendations along with the new NISO JATS document schema revision, developed in parallel, will help accelerate the wide adoption of data citation in  scholarly literature. We believe their adoption will enable open data transparency for validation, reuse and extension of scientific results; and will significantly counteract the problem of false positives in the literature. 

Data Citation Implementation Guidelines By Tim Clark

Ben Companjen

Ben Companjen

Information Systems Engineer / Information Manager at Data Archiving and Networked Services (DANS)

Session 3 Lightning Talk: DataverseNL

The DataverseNL is a cooperative effort of several universities and research institutes in the Netherlands that, in 2013/2014, transformed into 'Dataverse-as-a-Service'. DANS provides back-office services to the partner institutes, who provide front-office services to end users. We outline some of the processes and collaborations among back and front offices in place in the DataverseNL.

DataverseNL: Dataverse as a Federated Service in the Netherlands by Ben Companjen

Philipp Conzett

Philipp Conzett

Academic Librarian, University Library at UiT The Arctic University of Norway

Session 3 Lightning Talk: UiT Open Research Data

UiT Open Research Data is a Dataverse Network implementation at UiT The Arctic University of Norway, having TROLLing – The Tromsø Repository of Language and Linguistics as its pilot dataverse. In TROLLing anyone around the world can archive and share linguistic data. The studies are curated by academic librarians prior to dissemination through UiT Open Research Data.

UiT Open Research Data by Helene N. Andreassen, Philipp Conzett, Stein Høydalsvik, Leif Longva, and Obiajulu Odu

Sünje Dallmeier-Tiessen

Sünje Dallmeier-Tiessen

Data Services Manager at CERN

Pre-Meeting Workshop: Common Data Publishing Workflows

Data Publishing is becoming an integral part of scholarly communication today. Thus, it is indispensable to understand how data publishing works across disciplines. Are there best practices others can learn from or even data publishing standards? How do they impact interoperability in the Open Science landscape? The presentation will look at a range of examples, and the main building blocks of data publishing today. The work has been conducted as part of the RDA Data Publishing Workflows group. 

Data Publishing Models by Sünje Dallmeier-Tiessen

Phil Durbin

Phil Durbin

Software Developer (Dataverse) at IQSS, Harvard University

Pre-Meeting Workshop: Towards a Common Deposit API (the Dataverse example)

For the past few years Dataverse has been using the SWORD protocol as the standard for a Data Deposit API, but is this the standard all repositories should use for Data Deposit APIs? We will discuss the good parts and the challenges of this approach. Additionally this presentation will lead into the Panel Discussion consisting of various stakeholders from publishers, domain and general repositories, funding agencies, researchers, and industry.