Evidence map›Paper›PMID 35634111›Full record

ArticlePeerJ. Computer science2022

A survey of the state of the practice for research software in the United States.

Jeffrey C Carver, Nic Weber, Karthik Ram, Sandra Gesing, Daniel S Katz

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. A Perspective on Neuroscience Data Standardization with Neurodata Without Borders.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. 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.

Jeffrey C CarverComputer Science, University of Alabama, Tuscaloosa, AL, United States of America.
Nic WeberInformation School, University of Washington, Seattle, WA, United States of America.
Karthik RamBerkeley Institute for Data Science, University of California, Berkeley, Berkeley, CA, United States of America.
Sandra GesingDiscovery Partners Institute, Chicago, IL, United States of America.
Daniel S KatzNCSA & CS & ECE & iSchool, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research software is a critical component of contemporary scholarship. Yet, most research software is developed and managed in ways that are at odds with its long-term sustainability. This paper presents findings from a survey of 1,149 researchers, primarily from the United States, about sustainability challenges they face in developing and using research software. Some of our key findings include a repeated need for more opportunities and time for developers of research software to receive training. These training needs cross the software lifecycle and various types of tools. We also identified the recurring need for better models of funding research software and for providing credit to those who develop the software so they can advance in their careers. The results of this survey will help inform future infrastructure and service support for software developers and users, as well as national research policy aimed at increasing the sustainability of research software.

Indexed as

Best practicesCommunitiesEducation & trainingPolicyResearch softwareSoftware sustainabilitySurvey

Identifiers

PMID35634111
PMCPMC9138129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.