The Diffusion of Scholarship Across Disciplinary Boundaries through Data Sharing

An original data collection effort is often conducted by a scientist or group of scientists representing a single discipline. While secondary analysis of that data may occur within the same field, researchers from additional disciplines may also become interested in the data as well, creating a diffusion of the data across disciplinary boundaries. This paper investigates this idea using datasets archived in the Civic Learning, Engagement, and Action Data Sharing project at ICPSR. We compare the disciplines of the original researcher(s) involved in a data collection to the disciplines of researchers who have published findings based on analyses of these same datasets. Our analysis shows how some data become utilized by diverse disciplines over time. The paper also describes the extent to which researchers collaborate across disciplines in producing and analyzing data. Finally, we examine whether characteristics of the data (such as the breadth of the data) lead to greater diffusion across disciplinary boundaries. We conclude by discussing the value of sharing and using archival data across disciplinary boundaries.Spencer Foundation (Grant # 201500037)http://deepblue.lib.umich.edu/bitstream/2027.42/167197/1/The Diffusion of Scholarship Across Disciplinary Boundaries through Data Sharing.pdfDescription of The Diffusion of Scholarship Across Disciplinary Boundaries through Data Sharing.pdf : Slide deckSEL

A Data-Driven Approach to Appraisal and Selection at a Domain Data Repository

Social scientists are producing an ever-expanding volume of data, leading to questions about appraisal and selection of content given finite resources to process data for reuse. We analyze users’ search activity in an established social science data repository to better understand demand for data and more effectively guide collection development. By applying a data-driven approach, we aim to ensure curation resources are applied to make the most valuable data findable, understandable, accessible, and usable. We analyze data from a domain repository for the social sciences that includes over 500,000 annual searches in 2014 and 2015 to better understand trends in user search behavior. Using a newly created search-to-study ratio technique, we identified gaps in the domain data repository’s holdings and leveraged this analysis to inform our collection and curation practices and policies. The evaluative technique we propose in this paper will serve as a baseline for future studies looking at trends in user demand over time at the domain data repository being studied with broader implications for other data repositories.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145607/1/document.pd

Supporting the Identification, Monitoring and Preservation of Government Data Resources: Findings from DataLumos Outreach Efforts

This report documents the findings of “Identification, Monitoring, and Preservation of Government Data Resources”, an 18-month project involving outreach to government data producers, users, and intermediaries. Through this project, the Inter-university Consortium for Political and Social Research (ICPSR) sought to identify stakeholders’ most-used government datasets that they perceive to be potentially less accessible in the future, among other goals. Interviews and less formal interactions with data advocates and intermediaries, government data producers, and a variety of data users provided insights into the use of government data and perceptions of these data’s future accessibility. The most important source of data to these stakeholders is the Census Bureau, and several of its products were identified as being critical to stakeholders’ work. Data from other major statistical agencies, non-statistical federal agencies, and state and local data sources were also cited. The federal government data most used by stakeholders—and specifically the data of greatest importance to AECF-funded work—are perceived as accessible for future use. All of the federal datasets that stakeholders perceived to be potentially at risk were assessed and added to the DataLumos archive. A noteworthy finding from these interactions is that data created or collected by KIDS COUNT grantees, National Neighborhood Indicators Partnership (NNIP) participants, and other data intermediaries may not have a long-term data archiving or sharing plan. The analysts at these organizations spend significant effort gathering, aggregating, and analyzing data for their products, but they generally have no mechanism to archive or share these data. Given the investment in this work and the potential value of these data to community organizations, researchers, and even local and regional government agencies, there is a real opportunity for data intermediaries to store and share these data in a secure manner for the long term. Recommendations based on the project’s findings can be grouped into two major categories: advocacy and data sharing. Data users, intermediaries, and funders should continue to advocate that the Census Bureau and other principal statistical agencies provide access to the data products needed to successfully complete their work. Advocacy is also needed at the state and local levels, with the goals of targeting the creation of transparency laws and sunshine clauses, budget line items for data sharing, and infrastructural investments like open data portals and data application programming interfaces (APIs). Beyond traditional advocacy work, sustained and increased collaboration between government data producers and data users, intermediaries, and advocates is needed. As for data sharing, we recommend that data creators and intermediaries like KIDS COUNT grantees and NNIP partners work with data repositories like ICPSR to make their data available to others now and in the future. The archiving of these data would require both the infrastructure of a secure data repository as well as specialized curation and technical assistance related to sharing these types of data. The creation of an archive for data intermediaries’ data would extend the value of intermediaries’ important work, creating new resources for community members, institutions, and researchers.Annie E. Casey Foundationhttps://deepblue.lib.umich.edu/bitstream/2027.42/148837/1/Supporting the Identification, Monitoring and Preservation of Government Data Resources.pdfDescription of Supporting the Identification, Monitoring and Preservation of Government Data Resources.pdf : Repor

Restricting data’s use: A spectrum of concerns in need of flexible approaches

As researchers consider making their data available to others, they are concerned with the responsible use of data. As a result, they often seek to place restrictions on secondary use. The Research Connections archive at ICPSR makes available the datasets of dozens of studies related to childcare and early education. Of the 103 studies archived to date, 20 have some restrictions on access. While ICPSR’s data access systems were designed primarily to accommodate public use data (i.e. data without disclosure concerns) and potentially disclosive data, our interactions with depositors reveal a more nuanced range of the needs for restricting use. Some data present a relatively low risk of threatening participants’ confidentiality, yet the data producers still want to monitor who is accessing the data and how they plan to use them. Other studies contain data with such a high risk of disclosure that their use must be restricted to a virtual data enclave. Still other studies rest on agreements with participants that require continuing oversight of secondary use by data producers, funders, and participants. This paper describes data producers’ range of needs to restrict data access and discusses how systems can better accommodate these needs.https://deepblue.lib.umich.edu/bitstream/2027.42/151246/1/941-Article Text-299-2-10-20190930 (1).pd

Coffee Break, Poster, and Interactive Session

Presenters: Megan Davis: Improving Administrative Data Quality at the Initial Stages of the Data Life Cycle Sandra Clark: Using Administrative Records in the American Community Survey Kara Bonneau: North Carolina Education Research Data Center David Bleckley: DataLumos and Beyond: ICPSR\u27s Tool for Crowdsourced Sharing of Administrative and Other Government Data and Ways to Address its Limitations Brian J. Goode: Classifying Families and Households for VA Government Stakeholders using Existing Administrative Records Misty Heggeness: Linking Administrative Data across Federal Agencies: Outcome Evaluations for NIH Training Programs Jordan Butz; Annie Streetman: Predicting Spatial Risk of Opioid Overdoses in Providence, RI Kathryn Shantz: Using SNAP and TANF Administrative Records and the Transfer Income Model to Evaluate Poverty Measurement Adela Luque: The Nonemployer Statistics by Demographics: Leveraging Administrative Data to Meet Stakeholder Needs Susan Jekielek: Higher Education Administrative Data Elements: Potential for Analysis Amy O\u27Hara: \u27I Need That!\u27 Interactive Sessio

Coffee Break, Poster, and Interactive Session

Presenters: Megan Davis: Improving Administrative Data Quality at the Initial Stages of the Data Life Cycle Sandra Clark: Using Administrative Records in the American Community Survey Kara Bonneau: North Carolina Education Research Data Center David Bleckley: DataLumos and Beyond: ICPSR\u27s Tool for Crowdsourced Sharing of Administrative and Other Government Data and Ways to Address its Limitations Brian J. Goode: Classifying Families and Households for VA Government Stakeholders using Existing Administrative Records Misty Heggeness: Linking Administrative Data across Federal Agencies: Outcome Evaluations for NIH Training Programs Jordan Butz; Annie Streetman: Predicting Spatial Risk of Opioid Overdoses in Providence, RI Kathryn Shantz: Using SNAP and TANF Administrative Records and the Transfer Income Model to Evaluate Poverty Measurement Adela Luque: The Nonemployer Statistics by Demographics: Leveraging Administrative Data to Meet Stakeholder Needs Susan Jekielek: Higher Education Administrative Data Elements: Potential for Analysis Amy O\u27Hara: \u27I Need That!\u27 Interactive Sessio

The Effects of Marital Conflict and Marital Disruption on Depressive Affect: A Comparison Between Women In and Out of Poverty

We examine the independent and interactive effects of marital conflict and marital disruption on women's depressive affect and how these effects vary by family's poverty status. Copyright (c) 2006 Southwestern Social Science Association.