Evidence map›Paper›PMID 39184224›Full record

ArticleStat (International Statistical Institute)2024

What is it that you say you do here? Advocating for the critical role of data scientists in research infrastructure.

Chasz Griego, Nicky Agate, Ana-Maria Iosif, Amy M Crisp

Abstract read
In one paragraph

Article in Stat (International Statistical Institute), 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.

No citing paper in PubMed yet.

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

4 authors.

Chasz GriegoUniversity Libraries, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-2051-7491
Nicky AgateUniversity Libraries, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0001-7624-3779
Ana-Maria IosifDepartment of Public Health Sciences, University of California Davis, Davis, CA, USA.ORCID 0000-0001-7283-2015
Amy M CrispCenter for Data Solutions, University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.ORCID 0000-0001-5103-6044

Funding

UC Davis Conte Center: Neuroimmune Mechanisms of Psychiatric DisordersP50MH106438 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARTER, CAMERON S. · 2015 to 2025
$26.1M
NIMH NIH HHS P50 MH106438
6 · The paper itself

Abstract

Clinical and academic research continues to become more complex as our knowledge and technology advance. A substantial and growing number of specialists in biostatistics, data science, and library sciences are needed to support these research systems and promote high-caliber research. However, that support is often marginalized as optional rather than a fundamental component of research infrastructure. By building research infrastructure, an institution harnesses access to tools and support/service centers that host skilled experts who approach research with best practices in mind and domain-specific knowledge at hand. We outline the potential roles of data scientists and statisticians in research infrastructure and recommend guidelines for advocating for the institutional resources needed to support these roles in a sustainable and efficient manner for the long-term success of the institution. We provide these guidelines in terms of resource efficiency, monetary efficiency, and long-term sustainability. We hope this work contributes to-and provides shared language for-a conversation on a broader framework beyond metrics that can be used to advocate for needed resources.

Indexed as

collaborationdata scientistsresearch infrastructurestatisticsteam science

Identifiers

PMID39184224
PMCPMC11340204

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.