Evidence map›Paper›PMID 40234492›Full record

ArticleScientific data2025

Materials Data Science Ontology(MDS-Onto): Unifying Domain Knowledge in Materials and Applied Data Science.

Balashanmuga Priyan Rajamohan, Alexander C Harding Bradley, Van D Tran, Jonathan E Gordon, Hayden W Caldwell, Redad Mehdi, Gabriel Ponon, Quynh D Tran, Ozan Dernek, Jarod Kaltenbaugh and 18 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. 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. 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

28 authors.

Balashanmuga Priyan Rajamohan *Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Alexander C Harding Bradley *Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Van D TranMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Jonathan E GordonMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Hayden W CaldwellDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Redad MehdiMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Gabriel PononMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Quynh D TranMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Ozan DernekMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Jarod KaltenbaughMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Benjamin G PierceDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Raymond WieserDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Weiqi YueDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Kiefer LinDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Jiana KamboDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Christian LopezFLorida Solar Energy Center, University of Central Florida, Orlando, FL, USA.
Arafath NiharDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Daniel J SavageLos Alamos National Laboratory, Los Alamos, NM, USA.
Donald W BrownLos Alamos National Laboratory, Los Alamos, NM, USA.
Hemant SharmaArgonne National Laboratory, Lemont, IL, USA.
Brian GieraLawrence Livermore National Laboratory, Livermore, CA, USA.
Pawan K TripathiMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Yinghui WuDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA.
Mengjie LiMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Kristopher O DavisMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-5772-6254
Laura S BruckmanMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Erika I BarcelosMaterials Data Science for Stockpile Stewardship Center of Excellence, Cleveland, OH, USA.
Roger H FrenchDepartment of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA. roger.french@case.edu.ORCID http://orcid.org/0000-0002-6162-0532

Funding

DOE | National Nuclear Security Administration (NNSA) DE-NA0004104DOE | NNSA | Office of Defense Nuclear Security (NNSA's Office of Defense Nuclear Security) DE-NA0004104DOE | Office of Energy Efficiency & Renewable Energy | Solar Energy Technologies Office (SETO) DE-EE0009353National Science Foundation (NSF) 1937968National Science Foundation (NSF) 2133576
6 · The paper itself

Abstract

Ontologies have gained popularity in the scientific community as a way to standardize terminologies in organizations' data. Although certain cohorts have created frameworks with rules and guidelines on creating ontologies, there exist significant variations in how Materials Science ontologies are currently developed. We seek to provide guidance in the form of a unified automated framework for developing interoperable and modular ontologies for Materials Data Science that simplifies the ontology terms matching by establishing a semantic bridge up to the Basic Formal Ontology(BFO). This framework provides key recommendations on how ontologies should be positioned within the semantic web, what knowledge representation language is recommended, and where ontologies should be published online to boost their findability and interoperability. Two fundamental components of the MDS-Onto framework are the bilingual package called FAIRmaterials for ontology creation and FAIRLinked, for FAIR data creation. To showcase the practical capabilities of FAIRmaterials, we present two exemplar domain ontologies of MDS-Onto: Synchrotron X-Ray Diffraction and Photovoltaics.

Identifiers

PMID40234492
PMCPMC12000454

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.