<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Merce Crosas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Dataverse Network: An Open-source Application for Sharing, Discovering and Preserving Data</style></title><secondary-title><style face="normal" font="default" size="100%">D-Lib Magazine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><volume><style face="normal" font="default" size="100%">Volume 17</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The Dataverse Network is an open-source application for publishing, referencing, extracting and analyzing research data. The main goal of the Dataverse Network is to solve the problems of data sharing through building technologies that enable institutions to reduce the burden for researchers and data publishers, and incentivize them to share their data. By installing Dataverse Network software, an institution is able to host multiple individual virtual archives, called &quot;dataverses&quot; for scholars, research groups, or journals, providing a data publication framework that supports author recognition, persistent citation, data discovery and preservation. Dataverses require no hardware or software costs, nor maintenance or backups by the data owner, but still enable all web visibility and credit to devolve to the data owner.</style></abstract></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Jonathan Crabtree</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using the SafeArchive System: TRAC-Based Auditing of LOCKSS</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of Archiving 2011</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.box.net/shared/xj8r2nuiugsn8ukxf1lt</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://thedata.org/sites/projects.iq.harvard.edu/files/thedata_new2/files/archiving2011_altman_crabtree.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">IS &amp; T</style></publisher><pub-location><style face="normal" font="default" size="100%">SLC, UT</style></pub-location><pages><style face="normal" font="default" size="100%">165-170</style></pages></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Christian, Thu-mai</style></author><author><style face="normal" font="default" size="100%">Jonathan Crabtree</style></author><author><style face="normal" font="default" size="100%">Mcgovern, Nancy</style></author><author><style face="normal" font="default" size="100%">Micah Altman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Overview of SafeArchive : An Open-Source System for Automatic Policy-Based Collaborative Archival Replication</style></title><secondary-title><style face="normal" font="default" size="100%">iPres</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.box.net/shared/i3xe4ykqgsk07kljiddq http://www.box.net/shared/l2o8yl2x4n14lht0pp67</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">02</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">n/a</style></abstract><notes><style face="normal" font="default" size="100%">n/a</style></notes></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Margaret Adams</style></author><author><style face="normal" font="default" size="100%">Jonathan Crabtree</style></author><author><style face="normal" font="default" size="100%">Darrell Donakowski</style></author><author><style face="normal" font="default" size="100%">Marc Maynard</style></author><author><style face="normal" font="default" size="100%">Amy Pienta</style></author><author><style face="normal" font="default" size="100%">Copeland Young</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Digital Preservation Through Archival Collaboration: The Data Preservation Alliance for the Social Sciences</style></title><secondary-title><style face="normal" font="default" size="100%">The American Archivist</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.linkedin.com/in/micahaltman</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://thedata.org/sites/projects.iq.harvard.edu/files/thedata_new2/files/sharedpractices.pdf</style></url></related-urls></urls><volume><style face="normal" font="default" size="100%">72</style></volume><pages><style face="normal" font="default" size="100%">169-182</style></pages><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gutmann, Myron P.</style></author><author><style face="normal" font="default" size="100%">Mark Abrahamson</style></author><author><style face="normal" font="default" size="100%">Margaret O. Adams</style></author><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Caroline Arms</style></author><author><style face="normal" font="default" size="100%">Kenneth Bollen</style></author><author><style face="normal" font="default" size="100%">Michael Carlson</style></author><author><style face="normal" font="default" size="100%">Jonathan Crabtree</style></author><author><style face="normal" font="default" size="100%">Darrell Donakowski</style></author><author><style face="normal" font="default" size="100%">Gary King</style></author><author><style face="normal" font="default" size="100%">Jaret Lyle</style></author><author><style face="normal" font="default" size="100%">Marc Maynard</style></author><author><style face="normal" font="default" size="100%">Amy Pienta</style></author><author><style face="normal" font="default" size="100%">Richard Rockwell</style></author><author><style face="normal" font="default" size="100%">Lois Rocms-Ferrara</style></author><author><style face="normal" font="default" size="100%">Copeland H. Young</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">From Preserving the Past to Preserving the Future: The Data-PASS Project and the Challenges of Preserving Digital Social Science Data</style></title><secondary-title><style face="normal" font="default" size="100%">Library Trends</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">57</style></volume><pages><style face="normal" font="default" size="100%">315–337</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Social science data are an unusual part of the past, present, and future of digital preservation. They are both an unqualified success, due to long-lived and sustainable archival organizations, and in need of further development because not all digital content is being preserved. This article is about the Data Preservation Alliance for Social Sciences (Data-PASS), a project supported by the National Digital Information Infrastructure and Preservation Program (NDIIPP), which is a partnership of five major U.S. social science data archives. Broadly speaking, Data-PASS has the goal of ensuring that at-risk social science data are identified, acquired, and preserved, and that we have a future-oriented organization that could collaborate on those preservation tasks for the future. Throughout the life of the Data-PASS project we have worked to identify digital materials that have never been systematically archived, and to appraise and acquire them. As the project has progressed, however, it has increasingly turned its attention from identifying and acquiring legacy and at-risk social science data to identifying on going and future research projects that will produce data. This article is about the project’s history, with an emphasis on the issues that underlay the transition from looking backward to looking forward.</style></abstract></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Transformative Effects of NDIIPP, the case of the Henry A. Murray Archive</style></title><secondary-title><style face="normal" font="default" size="100%">Library Trends</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.linkedin.com/in/micahaltman</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">57</style></volume><pages><style face="normal" font="default" size="100%">338-351</style></pages><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Fingerprint Method for Verification of Scientific Data</style></title><secondary-title><style face="normal" font="default" size="100%">A Fingerprint Method for Verification of Scientific Data</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">redistricting.info/papers</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://thedata.org/sites/projects.iq.harvard.edu/files/thedata_new2/files/unfcisse_rev_20_corrected.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Gary King</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Proposed Standard for the Scholarly Citation of Quantitative Data</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">March/ April</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.dlib.org/dlib/march07/altman/03altman.html</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://thedata.org/sites/projects.iq.harvard.edu/files/thedata_new2/files/cite.pdf</style></url><url><style face="normal" font="default" size="100%">http://thedata.org/sites/projects.iq.harvard.edu/files/thedata_new2/files/a_proposed_standard_for_the_scholarly_citation_of_quantitative_data.pdf</style></url></related-urls></urls><volume><style face="normal" font="default" size="100%">13</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;An essential aspect of science is a community of scholars cooperating and competing in the pursuit of common goals. A critical component of this community is the common language of and the universal standards for scholarly citation, credit attribution, and the location and retrieval of articles and books. We propose a similar universal standard for citing quantitative data that retains the advantages of print citations, adds other components made possible by, and needed due to, the digital form and systematic nature of quantitative data sets, and is consistent with most existing subfield-specific approaches. Although the digital library field includes numerous creative ideas, we limit ourselves to only those elements that appear ready for easy practical use by scientists, journal editors, publishers, librarians, and archivists.&lt;/p&gt;
</style></abstract></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gary King</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Introduction to the Dataverse Network as an Infrastructure for Data Sharing</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><volume><style face="normal" font="default" size="100%">36</style></volume><pages><style face="normal" font="default" size="100%">173-199</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gary King</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Future of Replication</style></title><secondary-title><style face="normal" font="default" size="100%">International Studies Perspectives</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">February</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">443–499</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Since the replication standard was proposed for political science research, more journals have required or encouraged authors to make data available, and more authors have shared their data. The calls for continuing this trend are more persistent than ever, and the agreement among journal editors in this Symposium continues this trend. In this article, I offer a vision of a possible future of the replication movement. The plan is to implement this vision via the Virtual Data Center project, which – by automating the process of finding, sharing, archiving, subsetting, converting, analyzing, and distributing data – may greatly facilitate adherence to the replication standard.</style></abstract></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>6</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Jeff Gill</style></author><author><style face="normal" font="default" size="100%">Michael P. McDonald</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Numerical Issues in Statistical Computing for the Social Scientist</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ebookee.org/Numerical-Issues-in-Statistical-Computing-for-the-Social-Scientist-Repost-_349706.html</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><notes><style face="normal" font="default" size="100%">&lt;p&gt;First description of the UNF (Universal Numeric Fingerprint) method. &lt;/p&gt;
</style></notes></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Leonid Andreev</style></author><author><style face="normal" font="default" size="100%">Mark Diggory</style></author><author><style face="normal" font="default" size="100%">Gary King</style></author><author><style face="normal" font="default" size="100%">Kiskis, Daniel</style></author><author><style face="normal" font="default" size="100%">Elizabeth Kolster</style></author><author><style face="normal" font="default" size="100%">Sidney Verba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Digital Library for the Dissemination and Replication of Quantitative Social Science Research</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year></dates><volume><style face="normal" font="default" size="100%">Social Science Computer Review, 19</style></volume><pages><style face="normal" font="default" size="100%">458-470</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The Virtual Data Center (VDC) software is an open-source, digital library system for quantitative data. We discuss what the software does, and how it provides an infrastructure for the management and dissemination of disturbed collections of quantitative data, and the replication of results derived from this data.</style></abstract></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Micah Altman</style></author><author><style face="normal" font="default" size="100%">Leonid Andreev</style></author><author><style face="normal" font="default" size="100%">Mark Diggory</style></author><author><style face="normal" font="default" size="100%">Gary King</style></author><author><style face="normal" font="default" size="100%">Elizabeth Kolster</style></author><author><style face="normal" font="default" size="100%">Krot, M.</style></author><author><style face="normal" font="default" size="100%">Sidney Verba</style></author><author><style face="normal" font="default" size="100%">Kiskis, Daniel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Introduction to the Virtual Data Center Project and Software</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year></dates><volume><style face="normal" font="default" size="100%">Proceedings of The First ACM+IEEE Joint Conference on Digital Libraries</style></volume><pages><style face="normal" font="default" size="100%">203-204</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gary King</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Replication, Replication</style></title><secondary-title><style face="normal" font="default" size="100%">PS: Political Science and Politics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1995</style></year><pub-dates><date><style  face="normal" font="default" size="100%">September</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">28</style></volume><pages><style face="normal" font="default" size="100%">443–499</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Political science is a community enterprise and the community of empirical political scientists need access to the body of data necessary to replicate existing studies to understand, evaluate, and especially build on this work. Unfortunately, the norms we have in place now do not encourage, or in some cases even permit, this aim. Following are suggestions that would facilitate replication and are easy to implement – by teachers, students, dissertation writers, graduate programs, authors, reviewers, funding agencies, and journal and book editors.</style></abstract></record></records></xml>
