Evidence map›Paper›PMID 34054204›Full record

ArticleSocial networks2021

Network Canvas: Key decisions in the design of an interviewer assisted network data collection software suite.

M Birkett, J Melville, P Janulis, G Phillips, N Contractor, B Hogan

Open access · greenAbstract read
In one paragraph

Article in Social networks, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 52 citations in OpenAlex.

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  17. Relationship Inclusivity in Sexual and Gender Minority Psychology.Psychology of sexual orientation and gender diversity · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

M BirkettNorthwestern University Feinberg School of Medicine, Department of Medical Social Sciences, Chicago, IL.
J MelvilleNorthwestern University Feinberg School of Medicine, Department of Medical Social Sciences, Chicago, IL.
P JanulisNorthwestern University Feinberg School of Medicine, Department of Medical Social Sciences, Chicago, IL.
G PhillipsNorthwestern University Feinberg School of Medicine, Department of Medical Social Sciences, Chicago, IL.
N ContractorNorthwestern University Kellogg School of Management, Department of Management and Organizations, Evanston, IL.
B HoganUniversity of Oxford, Oxford Internet Institute, Oxford, UK.
Northwestern University · USUniversity of Oxford · GB

Funding

netCanvas: Development, Hardening, and Dissemination of a Software Suite for the Collection of Complex Network and Contextual Data in HIV and Drug ResearchR01DA042711 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BIRKETT, MICHELLE, PHILLIPS, GREGORY L. · 2016 to 2020
$3.0M
A Multilevel Network Model of Drug Use and HIV Racial Disparities in MenK08DA037825 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BIRKETT, MICHELLE · 2015 to 2019
$846k
Implementing and Evaluating a Machine Learning Tool for Entity Resolution in Drug Use and Sexual Contact Networks of YMSMR21LM012578 · NLM · NORTHWESTERN UNIVERSITY AT CHICAGO · PI JANULIS, PATRICK FRANCIS · 2017 to 2018
$393k
NIDA NIH HHS K08 DA037825NIDA NIH HHS R01 DA042711NLM NIH HHS R21 LM012578
6 · The paper itself

Abstract

Self-reported social network analysis studies are often complex and burdensome, both during the interview process itself, and when conducting data management following the interview. Through funding obtained from the National Institute on Drug Abuse (NIDA/NIH), our team developed the Network Canvas suite of software - a set of complementary tools that are designed to simplify the collection and storage of complex social network data, with an emphasis on usability and accessibility across platforms and devices, and guided by the practical needs of researchers. The suite consists of three applications: Architect: an application for researchers to design and export interview protocols; Interviewer: a touch-optimized application for loading and administering interview protocols to study participants; and Server: an application for researchers to manage the interview deployment process and export their data for analysis. Together, they enable researchers with minimal technological expertise to access a complete research workflow, by building their own network interview protocols, deploying these protocols widely within a variety of contexts, and immediately attaining the resulting data from a secure central location. In this paper, we outline the critical decisions taken in developing this suite of tools for the network research community. We also describe the work which guides our decision-making, including prior experiences and key discovery events. We focus on key design choices, taken for theoretical, philosophical, and pragmatic reasons, and outline their strengths and limitations.

Indexed as

data collectionNetworkssocial networksSoftware

Identifiers

PMID34054204
PMCPMC8153363
OpenAlexW3133127147

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.