A semantically enabled metadata repository for scientific data

Wilson, Anne; Cox, Michael T.; Elsborg, Don; Lindholm, D. M.; Traver, Tyler

doi:10.1007/s12145-014-0175-1

Cited by 5 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the increased use of web-based persistent identifier schemes will enable scientific data systems to leverage linked data and Semantic Web technologies more broadly. These technologies, which are being used by a number of organizations to support systems for data documentation, discovery, and integration, rely on resources having web-resolvable identifiers (Ma et al 2014;Wilson et al 2015). The use of persistent identifiers adds robustness to Semantic Web applications, reducing problems related to link obsolescence.…”

Section: Discussionmentioning

confidence: 99%

Identifiers for Earth Science Data Sets: Where We Have Been and Where We Need to Go

Goldstein

Mayernik

Ramapriyan

2017

CODATA

View full text Add to dashboard Cite

Considerable attention has been devoted to the use of persistent identifiers for assets of interest to scientific and other communities alike over the last two decades. Among persistent identifiers, Digital Object Identifiers (DOIs) stand out quite prominently, with approximately 133 million DOIs assigned to various objects as of February 2017. While the assignment of DOIs to objects such as scientific publications has been in place for many years, their assignment to Earth science data sets is more recent. Applying persistent identifiers to data sets enables improved tracking of their use and reuse, facilitates the crediting of data producers, and aids reproducibility through associating research with the exact data set(s) used. Maintaining provenance-i.e., tracing back lineage of significant scientific conclusions to the entities (data sets, algorithms, instruments, satellites, etc.) that lead to the conclusions, would be prohibitive without persistent identifiers. This paper provides a brief background on the use of persistent identifiers in general within the US, and DOIs more specifically. We examine their recent use for Earth science data sets, and outline successes and some remaining challenges. Among the challenges, for example, is the ability to conveniently and consistently obtain data citation statistics using the DOIs assigned by organizations that manage data sets.

show abstract

Section: Discussionmentioning

confidence: 99%

Identifiers for Earth Science Data Sets: Where We Have Been and Where We Need to Go

Goldstein

Mayernik

Ramapriyan

2017

CODATA

View full text Add to dashboard Cite

show abstract

“…This situation seems to be a result of the rigidness of the geo community. With the exception of a pioneers, we can see a lack of best practice (Hu et al, 2015;Di et al, 2009;Ho et al, 2011;Narock and Fox, 2012;Kalantari et al, 2014;Wilson et al, 2014;Lafia et al, 2016;McGee et al, 2017;Da Silva et al, 2014;Zhang et al, 2013;Maue et al, 2012;Neumaier et al, 2018). The geo community, having reached a peak with respect to the use of non-semantic metadata approaches (i.e.…”

Section: Weak Support In Geosciencesmentioning

confidence: 99%

Improving the documentation and findability of data services and repositories: A review of (meta)data management approaches

Řezník

Raes²,

Stott

et al. 2022

Computers & Geosciences

View full text Add to dashboard Cite

“…Within the VIVO data model, almost everything can be represented as a first-order object, as long as appropriate ontologies are declared (Khan et al 2011). EarthCollab is one of a small number of projects that are using VIVO to represent scientific information (Ma et al 2014;Wilson et al 2014).…”

Section: Earthcollab Technologymentioning

confidence: 99%

Building Geoscience Semantic Web Applications Using Established Ontologies

Mayernik

Gross

Corson-Rikert

et al. 2016

Data Science Journal

View full text Add to dashboard Cite

The EarthCollab project is using the VIVO Semantic Web software suite to support the discovery of information, data, and potential collaborators within the geodesy and polar science communities. This paper discusses the ontology selection, consolidation, and reuse efforts of EarthCollab. EarthCollab's ontology design approach heavily emphasizes ontology reuse, bringing together existing ontologies to support diverse use cases related to the discovery of geoscience information and resources. We developed a small local ontology to tie these existing ontologies together and to build appropriate geoscience-relevant connections. Five key ontology decision drivers are presented to outline EarthCollab's ontology design process and decision points: use cases, existing systems and metadata, semantic application dependencies, external ontology characteristics, and community recommendations for good ontological modeling practices.

show abstract

A semantically enabled metadata repository for scientific data

Cited by 5 publications

References 7 publications

Identifiers for Earth Science Data Sets: Where We Have Been and Where We Need to Go

Identifiers for Earth Science Data Sets: Where We Have Been and Where We Need to Go

Improving the documentation and findability of data services and repositories: A review of (meta)data management approaches

Building Geoscience Semantic Web Applications Using Established Ontologies

Contact Info

Product

Resources

About