Literature DB >> 27480367

The role of administrative data in the big data revolution in social science research.

Roxanne Connelly1, Christopher J Playford2, Vernon Gayle3, Chris Dibben4.   

Abstract

The term big data is currently a buzzword in social science, however its precise meaning is ambiguous. In this paper we focus on administrative data which is a distinctive form of big data. Exciting new opportunities for social science research will be afforded by new administrative data resources, but these are currently under appreciated by the research community. The central aim of this paper is to discuss the challenges associated with administrative data. We emphasise that it is critical for researchers to carefully consider how administrative data has been produced. We conclude that administrative datasets have the potential to contribute to the development of high-quality and impactful social science research, and should not be overlooked in the emerging field of big data.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  Administrative data; Big data; Data access; Data management; Data quality

Mesh:

Year:  2016        PMID: 27480367     DOI: 10.1016/j.ssresearch.2016.04.015

Source DB:  PubMed          Journal:  Soc Sci Res        ISSN: 0049-089X


  27 in total

1.  Constructing monthly residential locations of adults using merged state administrative data.

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2.  Operational and structural factors influencing enrolment in community-based health insurance schemes: an observational study using 12 waves of nationwide panel data from Senegal.

Authors:  Thomas Rouyard; Yukichi Mano; Bocar Mamadou Daff; Serigne Diouf; Khadidiatou Fall Dia; Laetitia Duval; Josselin Thuilliez; Ryota Nakamura
Journal:  Health Policy Plan       Date:  2022-08-03       Impact factor: 3.547

Review 3.  Strengthening the Learning Health System in Cardiovascular Disease Prevention: Time to Leverage Big Data and Digital Solutions.

Authors:  Anjali A Wagle; Nino Isakadze; Khurram Nasir; Seth Shay Martin
Journal:  Curr Atheroscler Rep       Date:  2021-03-10       Impact factor: 5.113

4.  Response to Commentaries: new data sources for understanding cannabis markets.

Authors:  Rosanna Smart; Jonathan P Caulkins; Beau Kilmer; Steven Davenport; Greg Midgette
Journal:  Addiction       Date:  2017-12       Impact factor: 6.526

5.  Participant-Centric Initiatives and Medical Research: Scoping Review Protocol.

Authors:  Victoria Coathup; Nao Hamakawa; Teresa Finlay; Jessica Bell; Jane Kaye; Kazuto Kato
Journal:  JMIR Res Protoc       Date:  2017-12-12

6.  New Methods to Address Old Challenges: The Use of Administrative Data for Longitudinal Replication Studies of Child Maltreatment.

Authors:  Emily Hurren; Anna Stewart; Susan Dennison
Journal:  Int J Environ Res Public Health       Date:  2017-09-15       Impact factor: 3.390

Review 7.  How has big data contributed to obesity research? A review of the literature.

Authors:  Kate A Timmins; Mark A Green; Duncan Radley; Michelle A Morris; Jamie Pearce
Journal:  Int J Obes (Lond)       Date:  2018-07-18       Impact factor: 5.095

8.  Joint Registration System under the Background of Big Data.

Authors:  Run Tian; Pei Yang; Kun-Zheng Wang
Journal:  Chin Med J (Engl)       Date:  2017-11-05       Impact factor: 2.628

9.  Community-care unit model of residential mental health rehabilitation services in Queensland, Australia: predicting outcomes of consumers 1-year post discharge.

Authors:  S Parker; U Arnautovska; D Siskind; F Dark; G McKeon; N Korman; M Harris
Journal:  Epidemiol Psychiatr Sci       Date:  2020-03-11       Impact factor: 6.892

Review 10.  Population-Based Linkage of Big Data in Dental Research.

Authors:  Tim Joda; Tuomas Waltimo; Christiane Pauli-Magnus; Nicole Probst-Hensch; Nicola U Zitzmann
Journal:  Int J Environ Res Public Health       Date:  2018-10-25       Impact factor: 3.390

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