Evidence map›Paper›PMID 33770077›Full record

ArticlePLoS biology2021

From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences.

Anne E Thessen, Paul Bogdan, David J Patterson, Theresa M Casey, César Hinojo-Hinojo, Orlando de Lange, Melissa A Haendel

Abstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Unified and pluralistic ideals for data sharing and reuse in biodiversity.Database : the journal of biological databases and curation · 2023
    Article
  3. Promoting data quality and reuse in archaeology through collaborative identifier practices.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  5. Review
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

7 authors.

Anne E ThessenDepartment of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, United States of America.ORCID 0000-0002-2908-3327
Paul BogdanMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, United States of America.ORCID 0000-0003-2118-0816
David J PattersonUniversity of Sydney, Sydney, Australia.
Theresa M CaseyDepartment of Animal Sciences, Purdue University, West Lafayette, Indiana, United States of America.ORCID 0000-0002-8835-3550
César Hinojo-HinojoDepartment of Earth System Science, University of California, Irvine, California, United States of America.ORCID 0000-0003-2093-9675
Orlando de LangeDepartment of Electrical Engineering, University of Washington, Seattle, Washington, United States of America.
Melissa A HaendelDepartment of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, United States of America.

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
NIH HHS R24 OD011883
6 · The paper itself

Abstract

Decades of reductionist approaches in biology have achieved spectacular progress, but the proliferation of subdisciplines, each with its own technical and social practices regarding data, impedes the growth of the multidisciplinary and interdisciplinary approaches now needed to address pressing societal challenges. Data integration is key to a reintegrated biology able to address global issues such as climate change, biodiversity loss, and sustainable ecosystem management. We identify major challenges to data integration and present a vision for a "Data as a Service"-oriented architecture to promote reuse of data for discovery. The proposed architecture includes standards development, new tools and services, and strategies for career-development and sustainability.

Indexed as

BiodiversityBiological Science DisciplinesConservation of Natural ResourcesData ManagementEcosystemInformation DisseminationInterdisciplinary CommunicationInterdisciplinary Research

Identifiers

PMID33770077
PMCPMC7997011

What Socratic 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 Socratic graph.