Literature DB >> 27228953

Overcoming obstacles in obtaining individual participant data for meta-analysis.

Joshua R Polanin1, Ryan T Williams2.   

Abstract

Individual participant data (IPD) is the backbone of scientific inquiry and important to a meta-analysis for a variety of reasons. It is therefore important to be able to access IPD, and yet, obstacles persist that make it difficult for meta-analysts, as well as interested primary study analysts, to obtain it. In this paper, we discuss the barriers to obtaining IPD via online repositories or contacting primary study authors and provide an example data sharing agreement that can be used to ameliorate a few of these issues. We also discuss the ethics of data sharing. The goal of this paper is to help meta-analysts anticipate these potential barriers at the outset of their studies and hopefully increase the likelihood of producing thorough IPD syntheses and foster collaborative partnerships with primary study researchers.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  data sharing; ethical practices; individual participant data; meta-analysis

Mesh:

Year:  2016        PMID: 27228953     DOI: 10.1002/jrsm.1208

Source DB:  PubMed          Journal:  Res Synth Methods        ISSN: 1759-2879            Impact factor:   5.273


  2 in total

1.  Causally Interpretable Meta-analysis: Application in Adolescent HIV Prevention.

Authors:  David H Barker; Issa J Dahabreh; Jon A Steingrimsson; Christopher Houck; Geri Donenberg; Ralph DiClemente; Larry K Brown
Journal:  Prev Sci       Date:  2021-07-09

Review 2.  Obtaining and managing data sets for individual participant data meta-analysis: scoping review and practical guide.

Authors:  Matthew Ventresca; Holger J Schünemann; Fergus Macbeth; Mike Clarke; Lehana Thabane; Gareth Griffiths; Simon Noble; David Garcia; Maura Marcucci; Alfonso Iorio; Qi Zhou; Mark Crowther; Elie A Akl; Gary H Lyman; Viktoria Gloy; Marcello DiNisio; Matthias Briel
Journal:  BMC Med Res Methodol       Date:  2020-05-12       Impact factor: 4.615

  2 in total

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