A dataset for measuring the impact of research data and their curation.

Science funders, publishers, and data archives make decisions about how to responsibly allocate resources to maximize the reuse potential of research data. This paper introduces a dataset developed to measure the impact of archival and data curation decisions on data reuse. The dataset describes 10,605 social science research datasets, their curation histories, and reuse contexts in 94,755 publications that cover 59 years from 1963 to 2022.

A guide for social science journal editors on easing into open science.

Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online community for social science journal editors: www.dpjedi.

Promoting data harmonization to evaluate vaccine hesitancy in LMICs: approach and applications.

Background: Factors influencing the health of populations are subjects of interdisciplinary study. However, datasets relevant to public health often lack interdisciplinary breath. It is difficult to combine data on health outcomes with datasets on potentially important contextual factors, like political violence or development, due to incompatible levels of geographic support; differing data formats and structures; differences in sampling procedures and wording; and the stability of temporal trends.

'My neighbourhood is fuzzy, not hard and fast': Individual and contextual associations with perceived residential neighbourhood boundaries among ageing Americans.

Neighborhoods are fluid social and spatial constructs that vary by person and place. How do residential neighborhoods shift as people age? This mixed-method study investigates how perceived neighborhood boundaries and size vary by individual and contextual characteristics. Semi-structured interviews with 125 adults aged 55-92 living in the Minneapolis (Minnesota) metropolitan area suggested that neighborhood boundaries are "fuzzy".

Using administrative records to support the linkage of census data: protocol for building a longitudinal infrastructure of U.S. census records.

This article describes the linkage methods that will be used in the Decennial Census Digitization and Linkage project (DCDL), which is completing the final four decades of a longitudinal census infrastructure covering the past 170 years of United States history. DCDL is digitizing and creating linkages between nearly a billion records across the 1960 through 1990 U.S.

How do properties of data, their curation, and their funding relate to reuse?

Despite large public investments in facilitating the secondary use of data, there is little information about the specific factors that predict data's reuse. Using data download logs from the Inter-university Consortium for Political and Social Research (ICPSR), this study examines how data properties, curation decisions, and repository funding models relate to data reuse. We find that datasets deposited by institutions, subject to many curatorial tasks, and whose access and preservation is funded externally, are used more often.

Drug- and Alcohol-Associated Deaths in U.S. Jails.

Drugs and alcohol are the third leading cause of death in U.S. jails.

Qualitative Data Sharing: Data Repositories and Academic Libraries as Key Partners in Addressing Challenges.

Data sharing is increasingly perceived to be beneficial to knowledge production, and is therefore increasingly required by federal funding agencies, private funders, and journals. As qualitative researchers are faced with new expectations to share their data, data repositories and academic libraries are working to address the specific challenges of qualitative research data. This paper describes how data repositories and academic libraries can partner with researchers to support three challenges associated with qualitative data sharing: (1) obtaining informed consent from participants for data sharing and scholarly reuse; (2) ensuring that qualitative data are legally and ethically shared; and (3) sharing data that cannot be deidentified.

Associations of Cumulative Family Risk With Academic Performance and Substance Involvement: Tests of Moderation by Child Reading Engagement.

: Exposure to cumulative contextual risk within the family early in life increases children's risk for substance involvement and related difficulties, including school failure, in adolescence and young adulthood. However, potential protective factors that buffer these risk associations are relatively untested, yet such tests are needed to improve existing preventive interventions for enhancing resilience among vulnerable children. : This study tested child reading engagement with parents at home as a moderator of cumulative family risk associations with adolescent substance use and academic performance as well as young adult substance abuse.

A landscape ecology assessment of land-use change on the Great Plains-Denver (CO, USA) metropolitan edge.

For better or worse, in those parts of the world with a widespread farming, livestock rising, and urban expansion, the maintenance of species richness and ecosystem services cannot depend only upon protected natural sites. Can they rely on a network of cultural landscapes endowed with their own associated biodiversity? We analyze the effects of land-cover change on landscape ecological patterns and processes that sustain bird species richness associated to cropland-grassland landscapes in the Great Plains-Denver metropolitan edge. Our purpose is to assess the potential contribution to bird biodiversity maintenance of Great Plain's cropland-grassland mosaics kept as farmland green belts in the edge of metropolitan areas.

Responsible practices for data sharing.

Research transparency, reproducibility, and data sharing uphold core principles of science at a time when the integrity of scientific research is being questioned. This article discusses how research data in psychology can be made accessible for reproducibility and reanalysis by describing practical ways to overcome barriers to data sharing. We examine key issues surrounding the sharing of data such as who owns research data, how to protect the confidentiality of the research participant, how to give appropriate credit to the data creator, how to deal with metadata and codebooks, how to address provenance, and other specifics such as versioning and file formats.

Linking the 1940 U.S. Census with Modern Data.

The U.S. Census Bureau has created a set of linkable census, survey, and administrative records that provides longitudinal data on the American population across the past eight decades.

Data discovery with DATS: exemplar adoptions and lessons learned.

The DAta Tag Suite (DATS) is a model supporting dataset description, indexing, and discovery. It is available as an annotated serialization with schema.org, a vocabulary used by major search engines, thus making the datasets discoverable on the web.

Cumulative contextual risk at birth and adolescent substance initiation: Peer mediation tests.

Background: Children who experience multiple adversities, such as prenatal exposure to drugs and poverty, early in development are at increased risk for the early initiation of alcohol and cigarette use. However, studies that examine potentially malleable processes associated with substance use initiation in the context of exposure to cumulative stressors are scant. This study examined associations between cumulative contextual risk at birth and initiation of alcohol and cigarette use in adolescence, testing childhood peer marginalization and peer aggression and behavior problems as mediating mechanisms.

DATS, the data tag suite to enable discoverability of datasets.

Today's science increasingly requires effective ways to find and access existing datasets that are distributed across a range of repositories. For researchers in the life sciences, discoverability of datasets may soon become as essential as identifying the latest publications via PubMed. Through an international collaborative effort funded by the National Institutes of Health (NIH)'s Big Data to Knowledge (BD2K) initiative, we have designed and implemented the DAta Tag Suite (DATS) model to support the DataMed data discovery index.

Finding useful data across multiple biomedical data repositories using DataMed.

The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the US National Institutes of Health (NIH) Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a data index and search engine, which are based on metadata extracted from various data sets in a range of repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature.

Maelstrom Research guidelines for rigorous retrospective data harmonization.

Background: It is widely accepted and acknowledged that data harmonization is crucial: in its absence, the co-analysis of major tranches of high quality extant data is liable to inefficiency or error. However, despite its widespread practice, no formalized/systematic guidelines exist to ensure high quality retrospective data harmonization.

Methods: To better understand real-world harmonization practices and facilitate development of formal guidelines, three interrelated initiatives were undertaken between 2006 and 2015.

At the margins: Agriculture, subsidies and the shifting fate of North America's Native Grassland.

We examined patterns of shifting cropland cultivation in the US Great Plains from the dust bowl to the beginning of the 21st century, by comparing land-cover data from 400 sample sites across the region from the 1930s, 1950s, 1970s and, 1990s and 2000s. We argue that understanding the use of marginal land for cultivation in the Great Plains since the Great Depression requires understanding the interacting dynamics of demography, technology, and policy. The small area land-cover data are nested within 50 target counties across the region.

RACE AS LIVED EXPERIENCE: The Impact of Multi-Dimensional Measures of Race/Ethnicity on the Self-Reported Health Status of Latinos.

A growing body of social science research has sought to conceptualize race as a multidimensional concept in which context, societal relations, and institutional dynamics are key components. Utilizing a specially designed survey, we develop and use multiple measures of race (skin color, ascribed race, and discrimination experiences) to capture race as "lived experience" and assess their impact on Latinos' self-rated health status. We model these measures of race as a lived experience to test the explanatory power of race, both independently and as an integrated scale with categorical regression, scaling, and dimensional analyses.

Impacts of Long-Term Obesity on the Health Status of Samoan and Tongan Men in the United States: Results from the Pacific Islander Health Study.

Objective: To examine the impacts of long-standing obesity (BMIs ≥ 30.0 kg/m(2)) on health outcomes among Samoan and Tongan men (aged ≥ 18 years) in California using a life course perspective.

Design: Cross-sectional analysis of 103 males from the Pacific Islander Health Study (PIHS), a probability sample modeled after the National Health Interview Survey (NHIS).

Addressing Global Data Sharing Challenges.

This issue of the Journal of Empirical Research on Human Research Ethics highlights the ethical issues that arise when researchers conducting projects in low- and middle-income countries seek to share the data they produce. Although sharing data is considered a best practice, the barriers to doing so are considerable and there is a need for guidance and examples. To that end, the authors of this article reviewed the articles in this special issue to identify challenges common to the five countries and to offer some practical advice to assist researchers in navigating this "uncharted territory," as some termed it.

Back on the streets: Maturation and risk factors for recidivism among serious juvenile offenders.

This study examines how social and cognitive factors shape future criminal activity among serious juvenile offenders and assesses how adolescents' cognitive development affects the relative impact of those factors over time. The sample, from the Pathways to Desistance Study, is comprised of youth (aged 14-18 years) in the United States convicted of serious criminal offenses, and the outcome measure is self-reported crime. We rely on data collected when the youth were first interviewed (n = 1088) and 18-24 months later (n = 904).

Exploring agent-level calculations of risk and returns in relation to observed land-use changes in the US Great Plains, 1870-1940.

Land-use change in the U.S. Great Plains since agricultural settlement in the second half of the nineteenth century has been well documented.

The Intermediate Data Structure (IDS) for Longitudinal Historical Microdata, version 4.

The Intermediate Data Structure (IDS) is a standard data format that has been adopted by several large longitudinal databases on historical populations. Since the publication of the first version in Historical Social Research in 2009, two improved and extended versions have been published in the Collaboratory Historical Life Courses. In this publication we present version 4 which is the latest 'official' standard of the IDS.