A Controlled Vocabulary and Metadata Schema for Materials Science Data Discovery

Medina-Smith, Andrea M.; Becker, Chandler A.; Plante, Raymond; Bartolo, Laura M.; Dima, Alden A.; Warren, James A.; Hanisch, R. J.

doi:10.5334/dsj-2021-018

Cited by 13 publications

(6 citation statements)

References 8 publications

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“…Metadata refer to information that describes other data [28,29] and are essential for finding and understanding data [30,31]. Traditional metadata typically consist of keywords, but different organizations have different standards for assigning keywords.…”

Section: Materials Data Discovery Protocolmentioning

confidence: 99%

InterMat: A Blockchain-Based Materials Data Discovery and Sharing Infrastructure

Wang,

Su,

Duan

et al. 2023

Processes

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Material research and development driven by data analysis necessitates a substantial volume of data. However, conventional material data sharing platforms encounter challenges in sharing and integrating data across multiple platforms. This article proposes a blockchain-based materials data discovery and sharing infrastructure—InterMat, which is a material big data management and sharing framework model integrating cloud platforms and blockchain. It could support the full lifecycle of materials data sharing, including data generation, management, discovery, sharing, traceability, and valuation. The architecture of the InterMat, its unique method of constructing a consortium chain, and the protocol for data discovery are presented in this paper. Additionally, the method for materials data identifier and blockchain certification is established, which allows for a unified identifier on the blockchain and cloud-based data addressing from various organizations. InterMat has data discovery algorithms for various materials to achieve the discovery of similar materials data from different nodes. Furthermore, we have designed some blockchain smart contracts for InterMat to encourage data sharing across nodes. These contracts include a proof smart contract that records data sharing activities, ensuring transparency and traceability in the materials data flow. The other contract is a value-estimating contract to encourage high-quality data sharing. Finally, this article introduces the application case of InterMat, using steel materials as an example to demonstrate its applications in data management, data discovery, data valuation, etc. This study successfully addresses various challenges associated with the cross-platform sharing of materials data, such as issues related to data discovery, data rights and control, and willingness to share. InterMat can assist material researchers in discovering and accessing more data, which would create a new ecology for sharing data.

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Section: Materials Data Discovery Protocolmentioning

confidence: 99%

InterMat: A Blockchain-Based Materials Data Discovery and Sharing Infrastructure

Wang,

Su,

Duan

et al. 2023

Processes

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“…The MDF (Material Science Data Facility), sponsored by the National Institute of Standards (NIST) and the Center for Hierarchical Materials Design (CHIMaD), now hosts about 578 datasets (116 experimental datasets) and indexes over 970,000 records of Materials data from other repositories as of December 2021. Other recent efforts include infrastructure for a federated registry of information resources for materials science (Plante et al 2021) ; a proposed controlled vocabulary and metadata schema for materials discover (Medina-Smith et al 2021); and a new experimental infrastructure under development for the integration of Electronic Lab Notebooks and data archiving systems with materials science workflows (Brandt et al 2021). In industry, software platforms (e.g.…”

Section: Studies Of Practices In Experimental Msementioning

confidence: 99%

Reproducible and Attributable Materials Science Workflows

Wilson²,

Altman³

2022

Preprint

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“…The survey also found that researchers rarely used metadata schema but did follow a standard file-naming scheme (Joo and Peters, 2020). While a regulated file-naming system is necessary, applying a good metadata schema makes the data more useful by allowing more in-depth searches and text mining (Medina-Smith et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Developing research data management services in a regional comprehensive university: The case of Central Washington University

Blackson

Valentino

2022

IFLA Journal

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This study aims to analyze the needs of researchers in a regional comprehensive university for research data management services; discuss the options for developing a research data management program at the university; and then propose a phased three-year implementation plan for the university libraries. The method was to design a survey to collect information from researchers and assess and evaluate their needs for research data management services. The results show that researchers’ needs in a regional comprehensive university could be quite different from those of researchers in a research-intensive university. Also, the results verify the hypothesis that researchers in the regional comprehensive university would welcome the libraries offering managed data services for the research community. Therefore, this study suggests a phased three-year implementation plan. The significance of the study is that it can give some insights and helpful information for regional comprehensive universities that are planning to develop a research data management program.

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A Controlled Vocabulary and Metadata Schema for Materials Science Data Discovery

Cited by 13 publications

References 8 publications

InterMat: A Blockchain-Based Materials Data Discovery and Sharing Infrastructure

InterMat: A Blockchain-Based Materials Data Discovery and Sharing Infrastructure

Reproducible and Attributable Materials Science Workflows

Developing research data management services in a regional comprehensive university: The case of Central Washington University

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