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Title: The Materials Data Facility: Data Services to Advance Materials Science Research

Abstract

With increasingly strict data management requirements from funding agencies and institutions, expanding focus on the challenges of research replicability, and growing data sizes and heterogeneity, new data needs are emerging in the materials community. The materials data facility (MDF) operates two cloudhosted services, data publication and data discovery, with features to promote open data sharing, self-service data publication and curation, and encourage data reuse, layered with powerful data discovery tools. The data publication service simplifies the process of copying data to a secure storage location, assigning data a citable persistent identifier, and recording custom (e.g., material, technique, or instrument specific)and automatically-extractedmetadata in a registrywhile the data discovery service will provide advanced search capabilities (e.g., faceting, free text range querying, and full text search) against the registered data and metadata. TheMDF services empower individual researchers, research projects, and institutions to (I) publish research datasets, regardless of size, from local storage, institutional data stores, or cloud storage, without involvement of thirdparty publishers; (II) build, share, and enforce extensible domain-specific custom metadata schemas; (III) interact with published data and metadata via representational state transfer (REST) application program interfaces (APIs) to facilitate automation, analysis, and feedback; and (IV) access a data discovery model thatmore » allows researchers to search, interrogate, and eventually build on existing published data. We describe MDF’s design, current status, and future plans.« less

Authors:
ORCiD logo; ORCiD logo; ; ; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Institute of Standards and Technology (NIST) - Center for Hierarchical Materials Design (CHiMaD); US Department of Commerce; USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1393151
DOE Contract Number:
AC02-06CH11357
Resource Type:
Journal Article
Resource Relation:
Journal Name: JOM. Journal of the Minerals, Metals & Materials Society; Journal Volume: 68; Journal Issue: 8
Country of Publication:
United States
Language:
English
Subject:
Materials; data management; data preservation; data publication; software as a service

Citation Formats

Blaiszik, B., Chard, K., Pruyne, J., Ananthakrishnan, R., Tuecke, S., and Foster, I. The Materials Data Facility: Data Services to Advance Materials Science Research. United States: N. p., 2016. Web. doi:10.1007/s11837-016-2001-3.
Blaiszik, B., Chard, K., Pruyne, J., Ananthakrishnan, R., Tuecke, S., & Foster, I. The Materials Data Facility: Data Services to Advance Materials Science Research. United States. doi:10.1007/s11837-016-2001-3.
Blaiszik, B., Chard, K., Pruyne, J., Ananthakrishnan, R., Tuecke, S., and Foster, I. Wed . "The Materials Data Facility: Data Services to Advance Materials Science Research". United States. doi:10.1007/s11837-016-2001-3.
@article{osti_1393151,
title = {The Materials Data Facility: Data Services to Advance Materials Science Research},
author = {Blaiszik, B. and Chard, K. and Pruyne, J. and Ananthakrishnan, R. and Tuecke, S. and Foster, I.},
abstractNote = {With increasingly strict data management requirements from funding agencies and institutions, expanding focus on the challenges of research replicability, and growing data sizes and heterogeneity, new data needs are emerging in the materials community. The materials data facility (MDF) operates two cloudhosted services, data publication and data discovery, with features to promote open data sharing, self-service data publication and curation, and encourage data reuse, layered with powerful data discovery tools. The data publication service simplifies the process of copying data to a secure storage location, assigning data a citable persistent identifier, and recording custom (e.g., material, technique, or instrument specific)and automatically-extractedmetadata in a registrywhile the data discovery service will provide advanced search capabilities (e.g., faceting, free text range querying, and full text search) against the registered data and metadata. TheMDF services empower individual researchers, research projects, and institutions to (I) publish research datasets, regardless of size, from local storage, institutional data stores, or cloud storage, without involvement of thirdparty publishers; (II) build, share, and enforce extensible domain-specific custom metadata schemas; (III) interact with published data and metadata via representational state transfer (REST) application program interfaces (APIs) to facilitate automation, analysis, and feedback; and (IV) access a data discovery model that allows researchers to search, interrogate, and eventually build on existing published data. We describe MDF’s design, current status, and future plans.},
doi = {10.1007/s11837-016-2001-3},
journal = {JOM. Journal of the Minerals, Metals & Materials Society},
number = 8,
volume = 68,
place = {United States},
year = {Wed Jul 06 00:00:00 EDT 2016},
month = {Wed Jul 06 00:00:00 EDT 2016}
}
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