EXPERIMENTAL RESEARCH DATA QUALITY IN
MATERIALS SCIENCE
T. Wuest. International Journal of Advanced Information Technology (IJAIT), 4 (6):
1-18(December 2014)
DOI: 10.5121/ijait.2014.4601
Abstract
In materials sciences, a large amount of research data is generated through a broad spectrum of different
experiments. As of today, experimental research data including meta-data in materials science is often
stored decentralized by the researcher(s) conducting the experiments without generally accepted standards
on what and how to store data. The conducted research and experiments often involve a considerable
investment from public funding agencies that desire the results to be made available in order to increase
their impact. In order to achieve the goal of citable and (openly) accessible materials science experimental
research data in the future, not only an adequate infrastructure needs to be established but the question of
how to measure the quality of the experimental research data also to be addressed. In this publication, the
authors identify requirements and challenges towards a systematic methodology to measure experimental
research data quality prior to publication and derive different approaches on that basis. These methods are
critically discussed and assessed by their contribution and limitations towards the set goals. Concluding, a
combination of selected methods is presented as a systematic, functional and practical quality measurement
and assurance approach for experimental research data in materials science with the goal of supporting
the accessibility and dissemination of existing data sets.
%0 Journal Article
%1 wuest2014experimental
%A Wuest, Thorsten
%D 2014
%J International Journal of Advanced Information Technology (IJAIT)
%K information technology
%N 6
%P 1-18
%R 10.5121/ijait.2014.4601
%T EXPERIMENTAL RESEARCH DATA QUALITY IN
MATERIALS SCIENCE
%U http://airccse.org/journal/IJAIT/papers/4614ijait01.pdf
%V 4
%X In materials sciences, a large amount of research data is generated through a broad spectrum of different
experiments. As of today, experimental research data including meta-data in materials science is often
stored decentralized by the researcher(s) conducting the experiments without generally accepted standards
on what and how to store data. The conducted research and experiments often involve a considerable
investment from public funding agencies that desire the results to be made available in order to increase
their impact. In order to achieve the goal of citable and (openly) accessible materials science experimental
research data in the future, not only an adequate infrastructure needs to be established but the question of
how to measure the quality of the experimental research data also to be addressed. In this publication, the
authors identify requirements and challenges towards a systematic methodology to measure experimental
research data quality prior to publication and derive different approaches on that basis. These methods are
critically discussed and assessed by their contribution and limitations towards the set goals. Concluding, a
combination of selected methods is presented as a systematic, functional and practical quality measurement
and assurance approach for experimental research data in materials science with the goal of supporting
the accessibility and dissemination of existing data sets.
@article{wuest2014experimental,
abstract = {In materials sciences, a large amount of research data is generated through a broad spectrum of different
experiments. As of today, experimental research data including meta-data in materials science is often
stored decentralized by the researcher(s) conducting the experiments without generally accepted standards
on what and how to store data. The conducted research and experiments often involve a considerable
investment from public funding agencies that desire the results to be made available in order to increase
their impact. In order to achieve the goal of citable and (openly) accessible materials science experimental
research data in the future, not only an adequate infrastructure needs to be established but the question of
how to measure the quality of the experimental research data also to be addressed. In this publication, the
authors identify requirements and challenges towards a systematic methodology to measure experimental
research data quality prior to publication and derive different approaches on that basis. These methods are
critically discussed and assessed by their contribution and limitations towards the set goals. Concluding, a
combination of selected methods is presented as a systematic, functional and practical quality measurement
and assurance approach for experimental research data in materials science with the goal of supporting
the accessibility and dissemination of existing data sets. },
added-at = {2018-04-12T06:19:26.000+0200},
author = {Wuest, Thorsten},
biburl = {https://www.bibsonomy.org/bibtex/20e964f977b22b0904b3fbb0b6566837d/ijaitislive},
doi = {10.5121/ijait.2014.4601},
interhash = {e6be8d374fa2d58e55773fa96692bad2},
intrahash = {0e964f977b22b0904b3fbb0b6566837d},
journal = {International Journal of Advanced Information Technology (IJAIT) },
keywords = {information technology},
month = {December},
number = 6,
pages = {1-18},
timestamp = {2018-04-12T06:19:26.000+0200},
title = {EXPERIMENTAL RESEARCH DATA QUALITY IN
MATERIALS SCIENCE },
url = {http://airccse.org/journal/IJAIT/papers/4614ijait01.pdf},
volume = 4,
year = 2014
}