Evidence map›Paper›PMID 31404233›Full record

ArticleACS central science2019

GEM-NET: Lessons in Multi-Institution Teamwork Using Collaboration Software.

Stephen G Gaffney, Omer Ad, Sarah Smaga, Alanna Schepartz, Jeffrey P Townsend

Abstract read
In one paragraph

Article in ACS central science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Stephen G GaffneyDepartment of Biostatistics, Yale University School of Public Health, New Haven, Connecticut 06510, United States.
Omer AdDepartment of Chemistry, Yale University, New Haven, Connecticut 06510, United States.
Sarah SmagaDepartment of Chemistry, Yale University, New Haven, Connecticut 06510, United States.
Alanna SchepartzDepartment of Chemistry, Yale University, New Haven, Connecticut 06510, United States.
Jeffrey P TownsendDepartment of Biostatistics, Yale University School of Public Health, New Haven, Connecticut 06510, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Center for Genetically Encoded Materials (C-GEM) is an NSF Phase I Center for Chemical Innovation that comprises six laboratories spread across three university campuses. Our success as a multi-institution research team demanded the development of a software infrastructure, GEM-NET, that allows all C-GEM members to work together seamlessly-as though everyone was in the same room. GEM-NET was designed to support both science and communication by integrating task management, scheduling, data sharing, and collaborative document and code editing with frictionless internal and public communication; it also maintains security over data and internal communications. In this Article, we document the design and implementation of GEM-NET: our objectives and motivating goals, how each component contributes to these goals, and the lessons learned throughout development. We also share open source code for several custom applications and document how GEM-NET can benefit users in multiple fields and teams that are both small and large. We anticipate that this knowledge will guide other multi-institution teams, regardless of discipline, to plan their software infrastructure and utilize it as swiftly and smoothly as possible.

Identifiers

PMID31404233
PMCPMC6661976

What OpenQuestion holds

Textmetadata
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.