Evidence map›Paper›PMID 38585895›Full record

ArticlebioRxiv : the preprint server for biology2024

Data science and its future in large neuroscience collaborations.

Manuel Schottdorf, Guoqiang Yu, Edgar Y Walker

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Manuel SchottdorfPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.ORCID 0000-0002-5468-4255
Guoqiang YuBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, USA.ORCID 0000-0002-6743-7413
Edgar Y WalkerDepartment of Physiology and Biophysics, Computational Neuroscience Center, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0057-957X
Princeton University · USUniversity of Washington · USVirginia Tech · US

Funding

P5: Mechanistic Multi-Region Brain ModelsU19NS132720 · NINDS · PRINCETON UNIVERSITY · PI Carlos D Brody, Ila R. Fiete · 2023 to 2026
$21.5M
Neural circuit theory and trained recurrent network modeling of rapid learningU19NS107609 · NINDS · UNIVERSITY OF WASHINGTON · PI BUFFALO, ELIZABETH A · 2018 to 2022
$12.6M
Novel Genetically Encoded Indicators for Interrogating Neuron-Astrocyte Communication Across TimescalesU19NS123719 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI EROGLU, CAGLA, NIMMERJAHN, AXEL · 2021 to 2025
$10.7M
NINDS NIH HHS U19 NS107609NINDS NIH HHS U19 NS123719NINDS NIH HHS U19 NS132720
6 · The paper itself

Abstract

The rise of large scientific collaborations in neuroscience requires systematic, scalable, and reliable data management. How this is best done in practice remains an open question. To address this, we conducted a data science survey among currently active U19 grants, funded through the NIH's BRAIN Initiative. The survey was answered by both data science liaisons and Principal Investigators, speaking for ~500 researchers across 21 nation-wide collaborations. We describe the tools, technologies, and methods currently in use, and identify several shortcomings of current data science practice. Building on this survey, we develop plans and propose policies to improve data collection, use, publication, reuse and training in the neuroscience community.

Identifiers

PMID38585895
PMCPMC10996530
OpenAlexW4393199003

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.