scholarly journals IDS Transposer: A Users Guide

2017 ◽  
Vol 4 ◽  
pp. 59-96
Author(s):  
Emily Klancher Merchant ◽  
George Alter
Keyword(s):  
Data Structure ◽  
Life Course ◽  
Software Tool ◽  
Standard Format ◽  
Individual Level ◽  
Intermediate Data ◽  
Source Data ◽  
Standard Set

The Intermediate Data Structure (IDS) provides a standard format for storing and sharing individual-level longitudinal life-course data (Alter and Mandemakers 2014; Alter, Mandemakers and Gutmann 2009). Once the data are in the IDS format, a standard set of programs can be used to extract data for analysis, facilitating the analysis of data across multiple databases. Currently, life-course databases store information in a variety of formats, and the process of translating data into IDS can be long and tedious. The IDS Transposer is a software tool that automates this process for source data in any format, allowing database administrators to specify how their datasets are to be represented in IDS. This article describes how the IDS Transposer works, first by going through an example step-bystep, and then by discussing each part of the process and potential options and exceptions in detail.

scholarly journals The Scanian Economic-Demographic Database (SEDD)

2020 ◽  
Author(s):  
Martin Dribe ◽  
Luciana Quaranta
Keyword(s):  
Data Resource ◽  
Individual Level ◽  
Intermediate Data ◽  
Linkage Methods ◽  
Wide Range ◽  
Rural Parishes ◽  
The Family ◽  
Source Data ◽  
The Individual ◽  
The City

The Scanian Economic-Demographic Database (SEDD) is a high-quality longitudinal data resource spanning the period 1646-1967. It covers all individuals born in or migrated to the city of Landskrona and five rural parishes in western Scania in southern Sweden. The entire population present in the area is fully covered after 1813. At the individual level, SEDD combines various demographic and socioeconomic records, including causes of death, place of birth and geographic data on the place of residence within a parish. At the family level, the data contain a combination of demographic records and information on occupation, landholding and income. The data for 1813-1967 was structured in the model of the Intermediate Data Structure (IDS). In addition to storing source data in the SEDD IDS tables, a wide range of individual- and context-level variables were constructed, which means that most types of analyses using SEDD can be conducted without the need of further elaboration of the data. This article discusses the source material, linkage methods, and structure of the database.

scholarly journals Editorial

2018 ◽  
Vol 5 ◽  
pp. 1-2
Author(s):  
Paul Puschmann ◽  
Luciana Quaranta
Keyword(s):  
Data Structure ◽  
Life Course ◽  
Comparative Research ◽  
Population Studies ◽  
Data Format ◽  
Standard Data ◽  
Intermediate Data ◽  
Historical Databases ◽  
Life Course Studies ◽  
Historical Life

Historical Life Course Studies, a journal in population studies, aims to stimulate and facilitate the implementation of IDS (Intermediate Data Structure, a standard data format for large historical databases), and to publish the results from (comparative) research with the help of large historical databases. The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases.

scholarly journals Editorial

2015 ◽  
Vol 2 ◽  
pp. 37-37
Author(s):  
Koen Matthijs ◽  
Paul Puschmann
Keyword(s):  
Data Structure ◽  
Life Course ◽  
Comparative Research ◽  
Population Studies ◽  
Data Format ◽  
Standard Data ◽  
Intermediate Data ◽  
Historical Databases ◽  
Life Course Studies ◽  
Historical Life

Historical Life Course Studies, a journal in population studies, aims to stimulate and facilitate the implementation of IDS (Intermediate Data Structure, a standard data format for large historical databases), and to publish the results from (comparative) research with the help of large historical databases. The journal publishes not only empirical articles, but also descriptions (of the construction) of new and existing large historical databases, as well as articles dealing with database documentation, the transformation of existing databases into the IDS format, the development of algorithms and extraction software and all other issues related to the methodology of large historical databases.

scholarly journals Reflections on the Intermediate Data Structure (IDS)

2021 ◽  
Vol 10 ◽  
pp. 71-75
Author(s):  
George Alter
Keyword(s):  
Data Structure ◽  
Life Course ◽  
Data Structures ◽  
Relational Database ◽  
Life Histories ◽  
Social Scientists ◽  
Database Model ◽  
Intermediate Data ◽  
Value Model ◽  
Historical Life

The Intermediate Data Structure (IDS) encourages sharing historical life course data by storing data in a common format. To encompass the complexity of life histories, IDS relies on data structures that are unfamiliar to most social scientists. This article examines four features of IDS that make it flexible and expandable: the Entity-Attribute-Value model, the relational database model, embedded metadata, and the Chronicle file. I also consider IDS from the perspective of current discussions about sharing data across scientific domains. We can find parallels to IDS in other fields that may lead to future innovations.

Automated Three-Dimensional Reconstruction of the Left Ventricle From Multiple-Axis Echocardiography

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Navaneetha Krishnan Rajan ◽  
Zeying Song ◽  
Kenneth R. Hoffmann ◽  
Marek Belohlavek ◽  
Eileen M. McMahon ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Cross Sections ◽  
Low Cost ◽  
Software Tool ◽  
Acquisition Time ◽  
Lv Function ◽  
High Temporal Resolution ◽  
Standard Format ◽  
Flow Simulations ◽  
Automated Method

Two-dimensional echocardiography (echo) is the method of choice for noninvasive evaluation of the left ventricle (LV) function owing to its low cost, fast acquisition time, and high temporal resolution. However, it only provides the LV boundaries in discrete 2D planes, and the 3D LV geometry needs to be reconstructed from those planes to quantify LV wall motion, acceleration, and strain, or to carry out flow simulations. An automated method is developed for the reconstruction of the 3D LV endocardial surface using echo from a few standard cross sections, in contrast with the previous work that has used a series of 2D scans in a linear or rotational manner for 3D reconstruction. The concept is based on a generalized approach so that the number or type (long-axis (LA) or short-axis (SA)) of sectional data is not constrained. The location of the cross sections is optimized to minimize the difference between the reconstructed and measured cross sections, and the reconstructed LV surface is meshed in a standard format. Temporal smoothing is implemented to smooth the motion of the LV and the flow rate. This software tool can be used with existing clinical 2D echo systems to reconstruct the 3D LV geometry and motion to quantify the regional akinesis/dyskinesis, 3D strain, acceleration, and velocities, or to be used in ventricular flow simulations.

scholarly journals Historical Databases Now and in the Future

2021 ◽  
Vol 10 ◽  
pp. 9-12
Author(s):  
Kris Inwood ◽  
Hamish Maxwell-Stewart
Keyword(s):  
Data Structure ◽  
The Netherlands ◽  
Longitudinal Data ◽  
Practical Implementation ◽  
High Quality ◽  
Rule Based ◽  
Intermediate Data ◽  
The Future ◽  
Historical Databases ◽  
Historical Sample

Kees Mandemakers has enriched historical databases in the Netherlands and internationally through the development of the Historical Sample of the Netherlands, the Intermediate Data Structure, a practical implementation of rule-based record linking (LINKS) and personal encouragement of high quality longitudinal data in a number of countries.

scholarly journals The Gender Outcomes International Group: to Further Well-being Development (Going-fwd) Methodology on Identification and Inclusion of Gender Factors in Retrospective Cohort Studies

2020 ◽  
Author(s):  
Valeria Raparelli Raparelli ◽  
Colleen M. Norris ◽  
Uri Bender ◽  
Maria Trinidad Herrero ◽  
Alexandra Kautzky-Willer ◽  
...  
Keyword(s):  
Data Structure ◽  
Meta Analysis ◽  
Synthetic Data ◽  
Well Being ◽  
Pooled Analysis ◽  
Research Network ◽  
Local Analysis ◽  
Related Factors ◽  
Individual Level ◽  
Definition Of

Abstract Background: Gender refers to the socially constructed roles, behaviors, expressions, and identities of girls, women, boys, men, and gender diverse people. It influences self-perception, individual’s actions and interactions, as well as the distribution of power and resources in society. Gender-related factors are seldom assessed as determinants of health outcomes, despite their powerful contribution.Methods: Investigators of the GOING-FWD project developed a standard methodology applicable for observational studies to retrospectively identify gender-related factors to assess their relationship to outcomes and applied this method to selected cohorts of non-communicable chronic diseases from Austria, Canada, Spain, Sweden.Results: The following multistep process was applied. Step 1 (Identification of Gender-related Variables): Based on the gender framework of the Women Health Research Network (i.e. gender identity, role, relations, and institutionalized gender), and available literature for a certain disease, an optimal “wish-list” of gender-related variables/factors was created and discussed by experts. Step 2 (Definition of Outcomes): each of the cohort data dictionaries were screened for clinical and patient relevant outcomes, using the ICHOM framework. Step 3 (Building of Feasible Final List): A cross-validation between gender-related and outcome variables available per database and the “wish-list” was performed. Step 4 (Retrospective Data Harmonization): The harmonization potential of variables was evaluated. Step 5 (Definition of Data Structure and Analysis): Depending on the database data structure, the following analytic strategies were identified: (1) local analysis of data not transferable followed by a meta-analysis combining study-level estimates; (2) centrally performed federated analysis of anonymized data, with the individual-level participant data remaining on local servers; (3) synthesizing the data locally and performing a pooled analysis on the synthetic data; and (4) central analysis of pooled transferable data.Conclusion: The application of the GOING-FWD systematic multistep approach can help guide investigators to analyze gender and its impact on outcomes in previously collected data.

scholarly journals Transpersonal Genetic Effects Among Older U.S. Couples: A Longitudinal Study

2019 ◽  
Vol 76 (1) ◽  
pp. 184-194
Author(s):  
Aniruddha Das
Keyword(s):  
Educational Attainment ◽  
Life Course ◽  
Growth Models ◽  
Late Life ◽  
Genetic Effects ◽  
Genetic Associations ◽  
Individual Level ◽  
Genetics Research ◽  
Nationally Representative ◽  
The Life Course

Abstract Background Emerging social genetics research suggests one’s genes may influence not just one’s own outcomes but also those of close social alters. Health implications, particularly in late life, remain underexplored. Using combined genetic and survey data, this study examined such transpersonal genetic associations among older U.S. couples. Method Data were from married or cohabiting couples in the 2006–2016 waves of the Health and Retirement Study, nationally representative of U.S. adults over 50. Measures included a polygenic score for educational attainment, and self-rated health. Analysis was through parallel process latent growth models. Results Women’s and men’s genetic scores for education had transpersonal linkages with their partner’s health. Such associations were solely with life-course variations and not late-life change in outcomes. Moreover, they were indirect, mediated by educational attainment itself. Evidence also emerged for individual-level genetic effects mediated by the partner’s education. Discussion In addition to the subject-specific linkages emphasized in extant genetics literature, relational contexts involve multiple transpersonal genetic associations. These appear to have consequences for a partner’s and one’s own health. Life-course theory indicates that a person is never not embedded in such contexts, suggesting that these patterns may be widespread. Research is needed on their implications for the life-course and gene–environment correlation literature.

Suffix Tree Constructing Algorithm for Datasets with Discrete Contents

2015 ◽  
Vol 733 ◽  
pp. 867-870
Author(s):  
Zhen Zhong Jin ◽  
Zheng Huang ◽  
Hua Zhang
Keyword(s):  
Data Structure ◽  
Sensor Network ◽  
Association Analysis ◽  
Data Structures ◽  
Suffix Tree ◽  
Analysis Data ◽  
Large Datasets ◽  
Intermediate Data ◽  
Input Strings

The suffix tree is a useful data structure constructed for indexing strings. However, when it comes to large datasets of discrete contents, most existing algorithms become very inefficient. Discrete datasets are need to be indexed in many fields like record analysis, data analyze in sensor network, association analysis etc. This paper presents an algorithm, STD, which stands for Suffix Tree for Discrete contents, that performs very efficiently with discrete input datasets. It imports several wonderful intermediate data structures for discrete strings; we also take care of the situation that the discrete input strings have similar characteristics. Moreover, STD keeps the advantages of existing implementations which are for successive input strings. Experiments were taken to evaluate the performance and shown that the method works well.

Life Course Events and Migration in the Transition to Adulthood

Social Forces ◽  
2020 ◽  
Author(s):  
Jonathan Horowitz ◽  
Barbara Entwisle
Keyword(s):  
Life Course ◽  
Life Events ◽  
Transition To Adulthood ◽  
Fixed Effects ◽  
Well Being ◽  
Individual Level ◽  
Close Relationship ◽  
Education And Employment ◽  
And Migration ◽  
And Behavior

Abstract Do life course events stimulate migration during the transition to adulthood? We identify nine specific life events in the family, education, and employment domains and test whether they lead to migration in the short term, using fixed-effects models that remove the influence of all stable individual-level characteristics and controlling for age. Marital and school completion events have substantively large effects on migration compared with individual work transitions, although there are more of the latter over the young adult years. Furthermore, young adults who are white and from higher class backgrounds are more likely to migrate in response to life events, suggesting that migration may be a mechanism for the reproduction of status attainment. Overall, the results demonstrate a close relationship between life course events and migration and suggest a potential role for migration in explaining the effect of life course events on well-being and behavior.

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