<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jdis-2017-0012_s_006_w2aab3b8c28b1b7b1aab1c15b1Aa"><h3>Purpose</h3><p>The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research. This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science.</p></sec><sec id="j_jdis-2017-0012_s_007_w2aab3b8c28b1b7b1aab1c15b2Aa"><h3>Design/methodology/approach</h3><p>This paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts <italic>big metadata</italic>, <italic>smart metadata</italic>, and <italic>metadata capital</italic> as part of a metadata <italic>lingua franca</italic> connecting to data science.</p></sec><sec id="j_jdis-2017-0012_s_008_w2aab3b8c28b1b7b1aab1c15b3Aa"><h3>Findings</h3><p>The “utilitarian nature” and “historical and traditional views” of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part of a metadata <italic>lingua franca</italic> to help frame research in the data science research space.</p></sec><sec id="j_jdis-2017-0012_s_009_w2aab3b8c28b1b7b1aab1c15b4Aa"><h3>Research limitations</h3><p>There are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore.</p></sec><sec id="j_jdis-2017-0012_s_010_w2aab3b8c28b1b7b1aab1c15b5Aa"><h3>Practical implications</h3><p>The immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem.</p></sec><sec id="j_jdis-2017-0012_s_011_w2aab3b8c28b1b7b1aab1c15b6Aa"><h3>Originality/value</h3><p>Although metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.</p></sec></abstract>

PurposeThe purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research. This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science.Design/methodology/approachThis paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science.FindingsThe “utilitarian nature” and “historical and traditional views” of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part of a metadata lingua franca to help frame research in the data science research space.Research limitationsThere are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore.Practical implicationsThe immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem.Originality/valueAlthough metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.

Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

PurposeThe purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without...

Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata

Article Category: Expert Review

Published Online: Aug 22, 2017

Page range: 19 - 36

Received: Jun 10, 2017

Accepted: Jul 26, 2017

DOI: https://doi.org/10.1515/jdis-2017-0012

Keywords
Metadata research, Data science, Big metadata, Smart metadata, Metadata capital

© 2017 Jane Greenberg

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata

Article Category: Expert Review

Published Online: Aug 22, 2017

Page range: 19 - 36

Received: Jun 10, 2017

Accepted: Jul 26, 2017

DOI: https://doi.org/10.1515/jdis-2017-0012

KeywordsMetadata research, Data science, Big metadata, Smart metadata, Metadata capital

© 2017 Jane Greenberg

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
Metadata research, Data science, Big metadata, Smart metadata, Metadata capital