2013-09-19

CMGPD-LN used in NIH-funded workshop Longitudinal Analysis of Historical Demographic Data

Three posters from the Longitudinal Analysis of Historical Demographic Data Workshop used a subset of the CMPGD-LN data to examine social mobility, household structure and fertility, and household formation:

2013-09-18

SAMHDA Accepting New Applications for Access to Confidential Data via the Data Portal


The Substance Abuse and Mental Health Data Archive (SAMHDA), on behalf of the Center for Behavioral Health Statistics and Quality (CBHSQ), Substance Abuse and Mental Health Services Administration (SAMHSA), announces a new call for applications for remote access to National Survey on Drug Use and Health (NSDUH) and Drug Abuse Warning Network (DAWN) confidential data for research purposes. Qualified research organizations may submit proposed research projects through the application process by October 18, 2013.

Currently, 2004 to 2011 DAWN, 2004 to 2011 NSDUH, and 2008-2012 NSDUH Adult Clinical Interview data are available for access through CBHSQ's Data Portal system.

The Data Portal is a secure virtual computing environment designed to provide authorized researchers access to confidential data for approved research projects. The goal of the Data Portal is to maximize the use of data collected by CBHSQ for important research and policy analyses, while conforming to Federal law and protecting identifiable data from disclosure.

Learn more about the Data Portal
FAQs: Accessing the Data Portal

2013-09-16

Sustaining Domain Repositories for Digital Data: A Call for Change from an Interdisciplinary Working Group of Domain Repositories

A pdf version of this article can be downloaded from the ICPSR website.


June 24-25, 2013
Inter-university Consortium for Political and Social Research (ICPSR)
With support from the Alfred P. Sloan Foundation
Compiled by Cambridge Concord Associates

The last few years have seen a growing international movement to enhance research transparency, open access to data, and data sharing across the social and natural sciences. Meanwhile, new technologies and scientific innovations are vastly increasing the amount of data produced and the resultant potential for advancing knowledge. Domain repositories—data archives with ties to specific scientific communities—have an indispensable role to play in this changing data ecosystem. With both content-area and digital curation expertise, domain repositories are uniquely capable of ensuring that data and other research products are adequately preserved, enhanced, and made available for replication, collaboration, and cumulative knowledge building. However, the systems currently in place for funding repositories in the US are inadequate for these tasks. Effective and innovative funding models are needed to ensure that research data, so vital to the scientific enterprise, will be available for the future. Funding models also need to assure equal access to data preservation and curation services regardless of the researcher's institutional affiliation. Creating sustainable funding streams requires coordination amongst multiple stakeholders in the scientific, archival, academic, funding, and policy communities.

Background

Not only has there been a vast increase in the amount of digital data, but there has also been global increase in activity related to research transparency, open access data, and data sharing. In February 2013, the U.S. Government's Office of Science and Technology Policy (OSTP) issued a memorandum calling for all federal agencies funding data collection to create plans for public access to research projects. Recognizing these challenges, on June 24-25, 2013, representatives from 22 data repositories spanning the social and natural sciences met in Ann Arbor, MI. The meeting, organized by the Inter-university Consortium for Political and Social Research (ICPSR) and supported by the Alfred P. Sloan Foundation, created a space to discuss the challenges facing repositories across domains, and to strategize around issues of sustainability.

Value and Role of Domain Repositories

Domain repositories in the social and natural sciences each serve a scientific community, whether it be a traditional academic discipline, a subdiscipline, or an interdisciplinary network of scientists, united by a common focus. This in-depth knowledge enables domain repositories to enhance the data ecosystem far beyond data preservation and access. By combining domain-specific scientific knowledge, expertise in data stewardship, and close relationships with scientific communities, domain repositories accelerate intellectual discovery by facilitating reuse and reproducibility, ultimately building an enduring record that represents the richness, diversity, and complexity of the scientific enterprise.


Far from simply storing digital data, domain repositories can use these relationships to:

  • Manage data in a way that maintains its understandability and usability for the scientific community
  • Facilitate data discovery and reuse through the development and standardization of metadata
  • Provide Access while ensuring necessary protections related to confidentiality and intellectual property
  • Create systems that facilitate future archiving (active data curation) while research is undertaken
  • Respond to the unique and evolving needs of scientific communities and other stakeholders
  • Partner with each community to create guidelines for data stewardship throughout the data life cycle
  • Advocate for transparency, data access, and data sharing
  • Innovate in the realm of data curation to address new and evolving forms of data
  • Add Value through the creation of data products that align with best practices and new technologies
  • Collaborate with related disciplines to achieve interoperability across scientific communities
  • Mediate between scientific communities and digital libraries and archives to implement the latest developments in information science


    The Challenge

    Despite the growing demand for data sharing and access, domain repositories face an uncertain financial future in the United States. The need for data archives is rising due to open access mandates, research innovations, and the growing volume of scientific data that needs to be curated, preserved, and disseminated. Yet funding for domain repositories remains unpredictable and inadequate for the task at hand. Of particular concern is the mismatch between the long-term commitments to preservation inherent in the work of archiving, and the short-term and episodic funding upon which this work is based. Many archives rely primarily on project-based grants, even though the expectation of stakeholders is that data will be available and usable indefinitely.

    Another concern is that the push towards open access, while creating more equity of access for the community of users, creates more of a burden for domain repositories because it narrows their funding possibilities. Without care, this may create a different kind of inequity—less well-funded scholars or institutions will be less likely to have their products of research preserved for the future.

    A Call for Change

    Domain repositories must be funded as the essential piece of the U.S. research infrastructure that they are. This means:
    • Ensuring funding streams that are long-term, uninterrupted, and flexible
    • Creating systems that promote good scientific practice
    • Assuring equity in participation and access
    There may not be one solution to the problem—repositories may very well need different funding models across domain and repository type. But in every case, creating sustainable funding streams will require the coordinated response of multiple stakeholders in the scientific, archival, academic, funding, and policy communities.


    This statement is endorsed by:

    Karen Adolph, Databrary Project, New York University

    George Alter, Inter-university Consortium for Political and Social Research, University of Michigan

    Helen Berman, Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers University

    Bobray Bordelon, Cultural Policy & the Arts National Data Archive, Princeton University

    Thomas M. Carsey, HW Odum Institute for Research in Social Science, University of North Carolina

    Robert S. Chen, Center for International Earth Science Information Network, Columbia University

    Sayeed Choudhury, Principal Investigator of the Data Conservancy

    Christopher Cieri, Linguistic Data Consortium, University of Pennsylvania

    Jonathan Crabtree, HW Odum Institute for Research in Social Science, University of North Carolina

    Mercè Crosas, Dataverse, Director of Data Science at IQSS, Harvard University

    Ruth E. Duerr, National Snow and Ice Data Center, University of Colorado

    Colin Elman, Qualitative Data Repository, Syracuse University

    Carol R. Ember, Human Relations Area Files, Yale University

    Florence Fetterer, Manager, NOAA@NSIDC, National Snow and Ice Data Center

    Roger Finke, Association of Religion Data Archives, Pennsylvania State University

    Rick O. Gilmore, Databrary Project, The Pennsylvania State University

    Robert J. Hanisch, Virtual Astronomical Observatory, Space Telescope Science Institute

    Margaret Hedstrom, SEAD DataNet and School of Information, University of Michigan

    Paul Herrnson, Roper Center, University of Connecticut

    Diana Kapiszewski, Qualitative Data Repository, Georgetown University

    Gary King, Albert J. Weatherhead III University Professor and Director for IQSS, Harvard University

    Eugene Kolker, MOPED Database, Seattle Children's Research Institute & DELSA Global

    Kerstin Lehnert, Integrated Earth Data Applications, Columbia University

    Francis P. McManamon, Executive Director, Center for Digital Antiquity, Arizona State University

    William Michener, DataONE and Professor and Director of e-Science Program, University Libraries, University of New Mexico

    Steven Ruggles, TerraPopulus and Integrated Public Use Microdata Series, University of Minnesota

    Mark C. Serreze, National Snow and Ice Data Center, University of Colorado

    Libbie Stephenson, UCLA Social Science Data Archive, University of California, Los Angeles

    Victoria Stodden, RunMyCode, Columbia University

    Alexander Szalay, Virtual Astronomical Observatory, Johns Hopkins University

    Todd Vision, Dryad Digital Repository, National Evolutionary Synthesis Center


    A pdf version of this article can be downloaded from the ICPSR website.

    General Social Survey, 1972-2012 Cumulative File Now Available

    ICPSR is pleased to announce the release of the General Social Survey, 1972-2012 [Cumulative File] (ICPSR 34802). Since 1972, the General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The 2012 edition includes additional questions on generosity, high-risk behaviors, climate change, work values, human values, workplace conflict, congregations, volunteering, religious identity, the environment, transition to adulthood, religious literature, participation in the arts, and racial identity.

    Users should be aware that these data are available only to users at ICPSR member institutions.

    2013-09-13

    Project TALENT Data (Baseline)

    Project Talent is a nationally representative longitudinal study of men and women who were in high school in 1960. Project Talent began as a major national effort to assess the aspirations and abilities of America's young men and women and to assess the critical period of adjustment to adult life beginning in high school and continuing past age 30, when participants are well-launched into their chosen careers. In 1960, roughly 5 percent of American high school students participated in the Project Talent study. Approximately 440,000 students from 1,353 schools in the United States were selected to represent all 9th through 12th graders throughout the country. Project Talent participants were administered an extensive battery of tests and questions that examined students' competencies in subjects such as mathematics, science, and reading comprehension. In addition, students were asked to complete three separate questionnaires that asked about family background, personal and educational experiences, aspirations for future education and vocation, and interests in various occupations and activities. 

    Project Talent is freely available at:
    http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/33341?archive=NACDA&q=project+talent

    2013-09-10

    Webinar Presentation: An Orientation to Accessing the Measures of Effective Teaching Longitudinal Database (MET LDB)


    An Orientation to Accessing the Measures of Effective Teaching Longitudinal Database (MET LDB)

    MET LDB is ready for analysis!  Watch the first in a series of four webinars discussing the rich and complex quantitative and video data held within the Measures of Effective Teaching Longitudinal Database at ICPSR, available now for secondary analysis.  This first webinar offers an overview of the groundbreaking MET Project, a summary of the data files available at ICPSR, and a description of ICPSR's specialized data access systems.  

    Dates of future MET LDB webinars will be announced soon.
















    NACJD Violence Against Women Research

    The Sage Journal Violence Against Women in June published a special issue on The Violence Against Women Research and Evaluation Program at the National Institute of Justice. NACJD archives a number of studies funded by NIJ that are cited in this special issue. These studies evaluate programs, develop new research measures, examine trends, and influence public policy.
    View the journal at http://vaw.sagepub.com/content/19/6.toc.


    2013-09-09

    New Releases through 2013-09-08

    Below is a list of new data collection additions to the ICPSR data archive along with a list of released data collections that have been updated:

    New Additions

    Updates

    Note: Additional SAMHDA studies may be available though they are not listed in this email/web site announcement.

    2013-09-04

    New Resources for a New Semester at TeachingWithData.org!

    The staff at TeachingWithData.org has been enlarging the holdings of interactive data-related resources that can be used to bring data into the classroom and challenge students to improve their quantitative literacy.

    These resources and other interactive data-related materials can be found on the home page of TeachingWithData.org, below the Instructor Resources label, by selecting "Tools for analysis, visualization, and course development".

    Three of the recent additions to the repository include:

    • Data Resource Center for Child & Adolescent Health - It offers state ranking maps comparing each state to the national average on key Child Health Indicators from the National Survey of Children's Health (NSCH) and the National Survey of Children with Special Health Care Needs (NS-CSHCN).
    • Pew Research Center Social Trends Interactives - This site offers a variety of data visualization tools with varying degrees of interactivity. All resources are based on data they have gathered. One example is "Race in America: Tracking 50 years of Demographic Trends," a tool that allows users to select a dimension upon which to build the chart and display the change over time by race. It also generates a table of the specified variable by year and race.
    • Bureau of Justice Statistics Dynamic Data Tools - This collection offers 10 datasets, including Arrest Data and Federal Criminal Case Processing Statistics, in formats that allow users to generate statistics, create tables of variables they select, and in some cases access "Quick Tables" of BJS-selected variables. There also is information on the study’s methodology, definitions of the variables, and other documentation.

    Have a great semester!

    Follow these links to learn more:
    http://teachingwithdata.org
    http://teachingwithdata.blogspot.com
    http://www.childhealthdata.org/browse/snapshots
    http://www.pewresearch.org/category/interactives
    http://www.bjs.gov/index.cfm?ty=daa