Cargando…

An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/

Data linkage, the process of identifying records that refer to the same entities across databases, is a crucial component of Population Data Science. Data linkage has a history going back over fifty years with many different methods and techniques being developed in various disciplines including com...

Descripción completa

Detalles Bibliográficos
Autores principales: Christen, Peter, Ranbaduge, Thilina, Vatsalan, Dinusha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479920/
https://www.ncbi.nlm.nih.gov/pubmed/32935001
http://dx.doi.org/10.23889/ijpds.v3i1.420
_version_ 1783580342413688832
author Christen, Peter
Ranbaduge, Thilina
Vatsalan, Dinusha
author_facet Christen, Peter
Ranbaduge, Thilina
Vatsalan, Dinusha
author_sort Christen, Peter
collection PubMed
description Data linkage, the process of identifying records that refer to the same entities across databases, is a crucial component of Population Data Science. Data linkage has a history going back over fifty years with many different methods and techniques being developed in various disciplines including computer science, statistics, and health informatics. Data linkage researchers and practitioners are commonly only familiar with methods and techniques that have been developed or are used in their own discipline, and they often only follow research that is being published at venues in their own discipline. There is currently no single online resource that allows data linkage researchers and practitioners across different disciplines to exchange ideas, post questions, or advertise new publications, software, open positions, or upcoming conferences and workshops. This leads to a communication gap in the multi-disciplinary field of data linkage. We aim to address this gap with the DLforum, a public online discussion forum for data linkage. DLforum contains several discussion areas, including publication announcements, resources (software and datasets), information about upcoming conferences and workshops, job opportunities, and general questions related to data linkage. The forum includes a moderation process where all registered users can post content and reply to posts by other users. We anticipate that the number of users registered and the amount of content posted in the forum will show that such an online forum is of value to data linkage researchers and practitioners from different disciplines to effectively communicate and exchange their knowledge, and thus form an online community of practice. In this paper we describe the methods of developing the DLforum, its structure and content, and our plan on how to evaluate the forum. The DLforum is freely available at: https://dmm.anu.edu.au/DLforum/
format Online
Article
Text
id pubmed-7479920
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Swansea University
record_format MEDLINE/PubMed
spelling pubmed-74799202020-09-14 An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/ Christen, Peter Ranbaduge, Thilina Vatsalan, Dinusha Int J Popul Data Sci Population Data Science Data linkage, the process of identifying records that refer to the same entities across databases, is a crucial component of Population Data Science. Data linkage has a history going back over fifty years with many different methods and techniques being developed in various disciplines including computer science, statistics, and health informatics. Data linkage researchers and practitioners are commonly only familiar with methods and techniques that have been developed or are used in their own discipline, and they often only follow research that is being published at venues in their own discipline. There is currently no single online resource that allows data linkage researchers and practitioners across different disciplines to exchange ideas, post questions, or advertise new publications, software, open positions, or upcoming conferences and workshops. This leads to a communication gap in the multi-disciplinary field of data linkage. We aim to address this gap with the DLforum, a public online discussion forum for data linkage. DLforum contains several discussion areas, including publication announcements, resources (software and datasets), information about upcoming conferences and workshops, job opportunities, and general questions related to data linkage. The forum includes a moderation process where all registered users can post content and reply to posts by other users. We anticipate that the number of users registered and the amount of content posted in the forum will show that such an online forum is of value to data linkage researchers and practitioners from different disciplines to effectively communicate and exchange their knowledge, and thus form an online community of practice. In this paper we describe the methods of developing the DLforum, its structure and content, and our plan on how to evaluate the forum. The DLforum is freely available at: https://dmm.anu.edu.au/DLforum/ Swansea University 2018-02-20 /pmc/articles/PMC7479920/ /pubmed/32935001 http://dx.doi.org/10.23889/ijpds.v3i1.420 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Christen, Peter
Ranbaduge, Thilina
Vatsalan, Dinusha
An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/
title An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/
title_full An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/
title_fullStr An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/
title_full_unstemmed An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/
title_short An Introduction to DLforum – An online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/DLforum/
title_sort introduction to dlforum – an online discussion forum for data linkage researchers and practitioners https://dmm.anu.edu.au/dlforum/
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479920/
https://www.ncbi.nlm.nih.gov/pubmed/32935001
http://dx.doi.org/10.23889/ijpds.v3i1.420
work_keys_str_mv AT christenpeter anintroductiontodlforumanonlinediscussionforumfordatalinkageresearchersandpractitionershttpsdmmanueduaudlforum
AT ranbadugethilina anintroductiontodlforumanonlinediscussionforumfordatalinkageresearchersandpractitionershttpsdmmanueduaudlforum
AT vatsalandinusha anintroductiontodlforumanonlinediscussionforumfordatalinkageresearchersandpractitionershttpsdmmanueduaudlforum
AT christenpeter introductiontodlforumanonlinediscussionforumfordatalinkageresearchersandpractitionershttpsdmmanueduaudlforum
AT ranbadugethilina introductiontodlforumanonlinediscussionforumfordatalinkageresearchersandpractitionershttpsdmmanueduaudlforum
AT vatsalandinusha introductiontodlforumanonlinediscussionforumfordatalinkageresearchersandpractitionershttpsdmmanueduaudlforum