Contents for analysing metadata - Revision history

Valerias: /* The quality of metadata */

2022-11-17T09:59:00Z

The quality of metadata

← Older revision		Revision as of 09:59, 17 November 2022
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	== The quality of metadata ==		== The quality of metadata ==
	Part of analyzing meta is also to assess the quality of metadata. Various quality criteria have been suggested. An example is the framework developed by [https://ecommons.cornell.edu/handle/1813/7895 Bruce and Hillman] which proposes completeness, accuracy, conformance to expectations, logical consistency and coherence, accessibility, timeliness, and provenance as quality criteria. A shorter list of has been proposed by [Margaritopoulos et al.]. Still, operationalizing these terms to assess the quality may result in a substantial number of sub-categories.		Part of analyzing meta is also to assess the quality of metadata. Various quality criteria have been suggested. An example is the framework developed by [https://ecommons.cornell.edu/handle/1813/7895 Bruce and Hillman] which proposes completeness, accuracy, conformance to expectations, logical consistency and coherence, accessibility, timeliness, and provenance as quality criteria. A shorter list of has been proposed by [https://dcpapers.dublincore.org/pubs/article/view/923 Margaritopoulos et al.]. Still, operationalizing these terms to assess the quality may result in a substantial number of sub-categories.

	== Example ==		== Example ==

Valerias: /* Further reading */

2022-11-17T09:50:06Z

Further reading

← Older revision		Revision as of 09:50, 17 November 2022
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	Other helpful resources are		Other helpful resources are

	D. Haynes. Metadata for Information Management and Retrieval. Facet Publishing, London, 2018.		[https://www.cambridge.org/core/books/metadata-for-information-management-and-retrieval/FBDE16B5739A32A6C8D9E56A38AE8223 D. Haynes. Metadata for Information Management and Retrieval. Facet Publishing, London, 2018.]

	Further interesting articles are		Further interesting articles are

Valerias: /* Further reading */

2022-11-17T09:46:54Z

Further reading

← Older revision		Revision as of 09:46, 17 November 2022
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	* [http://c2metadata.mtna.us/ Website - C2Metadata, continuous capture of metadata]		* [http://c2metadata.mtna.us/ Website - C2Metadata, continuous capture of metadata]

	* [Article - Scenario-based Metadata Design for Open Data User Interaction]		* [https://www.semanticscholar.org/paper/Scenario-based-Metadata-Design-for-Open-Data-User-Liang/fa355d6bba404dd6fed699e7f7f90e6d3fa15cd5 Article - Scenario-based Metadata Design for Open Data User Interaction]

	* [Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal]		* [https://link.springer.com/article/10.1007/s13740-018-0091-5 Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal]

Valerias: /* The quality of metadata */

2022-11-17T08:53:53Z

The quality of metadata

← Older revision		Revision as of 08:53, 17 November 2022
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	== The quality of metadata ==		== The quality of metadata ==
	Part of analyzing meta is also to assess the quality of metadata. Various quality criteria have been suggested. An example is the framework developed by [Bruce and Hillman] which proposes completeness, accuracy, conformance to expectations, logical consistency and coherence, accessibility, timeliness, and provenance as quality criteria. A shorter list of has been proposed by [Margaritopoulos et al.]. Still, operationalizing these terms to assess the quality may result in a substantial number of sub-categories.		Part of analyzing meta is also to assess the quality of metadata. Various quality criteria have been suggested. An example is the framework developed by [https://ecommons.cornell.edu/handle/1813/7895 Bruce and Hillman] which proposes completeness, accuracy, conformance to expectations, logical consistency and coherence, accessibility, timeliness, and provenance as quality criteria. A shorter list of has been proposed by [Margaritopoulos et al.]. Still, operationalizing these terms to assess the quality may result in a substantial number of sub-categories.

	== Example ==		== Example ==

Valerias: /* The quality of metadata */

2022-11-17T08:49:13Z

The quality of metadata

← Older revision		Revision as of 08:49, 17 November 2022
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	== The quality of metadata ==		== The quality of metadata ==
	Part of ~~analysing~~ meta is also to assess the quality of metadata. Various quality criteria have been suggested. An example is the framework developed by Bruce and Hillman which ~~propose~~ completeness, accuracy, conformance to expectations, logical consistency and coherence, accessibility, timeliness and provenance as quality criteria.		Part of analyzing meta is also to assess the quality of metadata. Various quality criteria have been suggested. An example is the framework developed by [Bruce and Hillman] which proposes completeness, accuracy, conformance to expectations, logical consistency and coherence, accessibility, timeliness, and provenance as quality criteria. A shorter list of has been proposed by [Margaritopoulos et al.]. Still, operationalizing these terms to assess the quality may result in a substantial number of sub-categories.

	== Example ==		== Example ==

Valerias: /* Further reading */

2022-11-17T08:38:41Z

Further reading

← Older revision		Revision as of 08:38, 17 November 2022
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	* [https://link.springer.com/chapter/10.1007/978-3-319-03437-9_11 Tools and Techniques for Assessing Metadata Quality]		* [https://link.springer.com/chapter/10.1007/978-3-319-03437-9_11 Tools and Techniques for Assessing Metadata Quality]

	* [Opinion piece - Metadata schema design]		* [https://www.cmswire.com/digital-asset-management/what-makes-a-good-metadata-schema/ Opinion piece - Metadata schema design]

	* [Article - Dealing with metadata quality: The legacy of digital library efforts]		* [https://www.sciencedirect.com/science/article/abs/pii/S0306457313000526 Article - Dealing with metadata quality: The legacy of digital library efforts]

	* [Article - Rethinking Metadata’s Value and How It Is Evaluated]		* [https://www.tandfonline.com/doi/full/10.1080/07317131.2020.1810443 Article - Rethinking Metadata’s Value and How It Is Evaluated]

	* [An analysis and comparison of keyword recommendation methods for scientific data]		* [https://link.springer.com/article/10.1007/s00799-020-00279-3 An analysis and comparison of keyword recommendation methods for scientific data]

	* [Website - C2Metadata, continuous capture of metadata]		* [http://c2metadata.mtna.us/ Website - C2Metadata, continuous capture of metadata]

	* [Article - Scenario-based Metadata Design for Open Data User Interaction]		* [Article - Scenario-based Metadata Design for Open Data User Interaction]

	* [Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal]		* [Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal]

Valerias: /* Further reading */

2022-11-17T08:34:36Z

Further reading

← Older revision		Revision as of 08:34, 17 November 2022
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	* [https://metadata2020.org/ Website - Metadata 2020 project]		* [https://metadata2020.org/ Website - Metadata 2020 project]

	* [Interview - Metadata 2020 working to improve the quality of metadata for research]		* [https://blog.scholasticahq.com/post/metadata-2020-improve-quality-of-metadata/ Interview - Metadata 2020 working to improve the quality of metadata for research]

	* [Article - Automated Quality Assessment of Metadata across Open Data Portals]		* [https://dl.acm.org/doi/10.1145/2964909 Article - Automated Quality Assessment of Metadata across Open Data Portals]

	* [Website - EOSDIS Unified Metadata Model]		* [https://www.earthdata.nasa.gov/unified-metadata-model-umm Website - EOSDIS Unified Metadata Model]

	* [Article - Measuring Quality in Metadata Repositories]		* [https://link.springer.com/chapter/10.1007/978-3-319-24592-8_5 Article - Measuring Quality in Metadata Repositories]

	* [Tools and Techniques for Assessing Metadata Quality]		* [https://link.springer.com/chapter/10.1007/978-3-319-03437-9_11 Tools and Techniques for Assessing Metadata Quality]

	* [Opinion piece - Metadata schema design]		* [Opinion piece - Metadata schema design]

Valerias: /* Using metadata standards to compile relevant metadata */

2022-11-17T08:30:48Z

Using metadata standards to compile relevant metadata

← Older revision		Revision as of 08:30, 17 November 2022
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	== Using metadata standards to compile relevant metadata ==		== Using metadata standards to compile relevant metadata ==
	Another help in collecting relevant information is the use of metadata standards. There is a whole zoo of suggested standards to be used. Some are created with a broad focus catering many resources and domains. Other standards rather cater specific forms of data, e.g. audio or video data or domain such as engineering, humanities etc. An example of a rather general metadata standard is the Dublin core set of metadata terms. In its basic form, [https://www.dublincore.org/specifications/dublin-core/dcmi-terms/ Dublin core] offers the following terms to describe a resource: contributor, coverage, creator, date, description, format, identifier, language, publisher, relation, rights, source, subject, title, and type. A list of different metadata standards is listed here.		Another help in collecting relevant information is the use of metadata standards. There is a whole zoo of suggested standards to be used. Some are created with a broad focus catering many resources and domains. Other standards rather cater specific forms of data, e.g. audio or video data or domain such as engineering, humanities etc. An example of a rather general metadata standard is the Dublin core set of metadata terms. In its basic form, [https://www.dublincore.org/specifications/dublin-core/dcmi-terms/ Dublin core] offers the following terms to describe a resource: contributor, coverage, creator, date, description, format, identifier, language, publisher, relation, rights, source, subject, title, and type. A list of different metadata standards is listed [https://rd-alliance.github.io/metadata-directory/standards/ here].

	== The quality of metadata ==		== The quality of metadata ==

Valerias: /* Further reading */

2022-11-17T08:29:04Z

Further reading

← Older revision		Revision as of 08:29, 17 November 2022
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	Further interesting articles are		Further interesting articles are

	Article - Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories		* [https://doi.org/10.3390/en14206692 Article - Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories]
	Website - Metadata 2020 project
	Interview - Metadata 2020 working to improve the quality of metadata for research		* [https://metadata2020.org/ Website - Metadata 2020 project]
	Article - Automated Quality Assessment of Metadata across Open Data Portals
	Website - EOSDIS Unified Metadata Model		* [Interview - Metadata 2020 working to improve the quality of metadata for research]
	Article - Measuring Quality in Metadata Repositories
	Tools and Techniques for Assessing Metadata Quality		* [Article - Automated Quality Assessment of Metadata across Open Data Portals]
	Opinion piece - Metadata schema design
	Article - Dealing with metadata quality: The legacy of digital library efforts		* [Website - EOSDIS Unified Metadata Model]
	Article - Rethinking Metadata’s Value and How It Is Evaluated
	An analysis and comparison of keyword recommendation methods for scientific data		* [Article - Measuring Quality in Metadata Repositories]
	Website - C2Metadata, continuous capture of metadata
	Article - Scenario-based Metadata Design for Open Data User Interaction		* [Tools and Techniques for Assessing Metadata Quality]
	Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal
			* [Opinion piece - Metadata schema design]

			* [Article - Dealing with metadata quality: The legacy of digital library efforts]

			* [Article - Rethinking Metadata’s Value and How It Is Evaluated]

			* [An analysis and comparison of keyword recommendation methods for scientific data]

			* [Website - C2Metadata, continuous capture of metadata]

			* [Article - Scenario-based Metadata Design for Open Data User Interaction]

			* [Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal]

Valerias: /* Further reading */

2022-11-17T08:24:35Z

Further reading

← Older revision		Revision as of 08:24, 17 November 2022
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	A good starting point for understanding the metadata creation process specific for the low-carbon energy domain is this publication		A good starting point for understanding the metadata creation process specific for the low-carbon energy domain is this publication

	A. Wierling et al. Advancing FAIR metadata standards for low carbon energy research. Energies 14, 6692 (2021) doi		A. Wierling et al. Advancing FAIR metadata standards for low carbon energy research. Energies 14, 6692 (2021) [https://doi.org/10.3390/en14206692 https://doi.org/10.3390/en14206692]

	Other helpful resources are		Other helpful resources are