The following are changes to the printed program since it went to press; these changes are all reflected in the conference website.
POST-CONFERENCE TRIP — NIAGARA TOUR
Please note that on Saturday, June 7 the bus will be leaving The Eaton Chelsea, Bay Street entrance at 8:15am, not 9:00am.
PRINT PROGRAM CHANGES
The opening reception begins at 17:30 (5:30pm), and not 18:00 (6pm) as shown.
p18 & 21
- Workshop W4: openICPSR: Why, When, What and How?
- Jared Lyle is presenting in place of Linda Detterman
- Session 1B: DASISH – Data Service Infrastructure for the Social Sciences and Humanities: Catarina Wasner, from GESIS, has been added as a speaker for this session
- The presentation Variable Shopping Basket Architecture: A Hybrid Approach for CNSS 2.0 is now a poster session.
- A change in the speaker order for Session 5P; the order will now be Elizabeth Newbold,
- Beth-Ellen Pennell, then Joachim Wackerow (i.e., 2,3,1. according to the order in the print program)
- The following talk has been added to 5R: Innovative Approaches to Promoting Transparency in Research:
- Title: Data publishing while preserving data privacy
- Presenter(s): Mercè Crosas, Harvard University
- Abstract: Over the last decade, the Data Science team at Harvard’s Institute for Quantitative Social Science has been iteratively developing Dataverse, a data repository framework to facilitate and enhance research transparency through data sharing, preservation, citation, reuse and analysis. During the last two years, the group has implemented extensible data publishing workflows and effective ways to link articles to data. This talk will focus on the latest data publishing workflows and data publishing for sensitive data.
The following posters have been added:
- Defining security requirements for a remote access system
Presenter(s): Katharina Kinder-Kurlanda, GESIS – Leibniz- Institute for the Social Sciences; Co-authors: Andreas Poller, Philipp Holzinger, Laura Kocksch, Stefan Triller, Sven Türpe
- Abstract: This paper presents some first results of the one- year project “Empirical Secure Software Engineering (ESSE)” which had the two aims (1) to define security requirements for a planned Secure Data Center remote access at GESIS in Germany and (2) to evaluate different threat modelling techniques. Such techniques are intended to assist software developers in defining and evaluating security risks for a system and in deducing necessary requirements for design, implementation and operation. Using several different modelling techniques a group of participating GESIS staff from various archiving and IT backgrounds generated a collection of threat models. We then interviewed participants about their viewpoints, aggregated the models and discussed them in a group session. Through this process we defined security requirements and translated them into implementable technical and organizational security recommendations. Our approach also enabled us to evaluate the applied techniques’ strengths and weaknesses. We will explain some of the security requirements we defined and also show how our process allowed us to make visible different stakeholders’ viewpoints, was able to support meaningful discussion, and facilitated decision making. Our process can be useful for other archives looking for ways to define security requirements in the fields of archiving and data sharing.
- Variable Shopping Basket Architecture: A Hybrid Approach for CNSS 2.0
Presenter(s): Jeremy Williams, Cornell University; Florio Arguillas, Cornell University
Abstract: The Cornell National Social Survey (CNSS), an annual survey conducted by the Survey Research Institute (SRI), is now on its 6th wave. As the designated repository of CNSS datasets, the Cornell Institute for Social and Economic Research (CISER) is responsible for creating, curating, and subjecting to disclosure avoidance techniques the public use and integrated versions of this series. In addition, CISER provides the mechanism for finding, discovering, and disseminating the series complete with a variable shopping basket that allows users to select and download only the variables that they need. In late 2013, CISER decided to update its variable shopping basket architecture to improve user experience and delivery of the collection. In this paper we describe in detail our updated infrastructure for the Cornell National Social Survey search, discovery, and download tool. At the backend we employ an XML repository housing DDI 3 XML files to deliver metadata contents to users and a relational database to deliver the data itself. Both the XML repository and Relational database can be queried using XQuery and SQL, respectively, through a CNSS API that we developed so it can be accessed from other computing devices.
The following poster has been withdrawn:
- Utilizing DDI for standardizing and harmonizing TREC 2.0 Resident Assessment Instrument (RAIMDS) 2.0 Data
The paper titled Caught in the Act of Comparing, a short tale of two data establishments has been withdrawn.