Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)

Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software. The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system th...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	George Alter [verfasserIn] Darrell Donakowski [verfasserIn] Jack Gager [verfasserIn] Pascal Heus [verfasserIn] Carson Hunter [verfasserIn] Sanda Ionescu [verfasserIn] Jeremy Iverson [verfasserIn] H.V. Jagadish [verfasserIn] Carl Lagoze [verfasserIn] Jared Lyle [verfasserIn] Alexander Mueller [verfasserIn] Sigbjørn Revheim [verfasserIn] Matthew A. Richardson [verfasserIn] Risnes Ørnulf [verfasserIn] Karunakara Seelam [verfasserIn] Dan Smith [verfasserIn] Tom Smith [verfasserIn] Jie Song [verfasserIn] Yashas Jaydeep Vaidya [verfasserIn] Ole Voldsater [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	metadata provenance statistical data

Übergeordnetes Werk:	In: IASSIST Quarterly - International Association for Social Science Information Service and Technology, 2022, 44(2020), 4
Übergeordnetes Werk:	volume:44 ; year:2020 ; number:4

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.29173/iq983

Katalog-ID:	DOAJ094662770

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author	George Alter
spellingShingle	George Alter misc metadata misc provenance misc statistical data misc Social Sciences misc H Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)
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topic_title	Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL) metadata provenance statistical data
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title	Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)
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title_full	Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)
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author_browse	George Alter Darrell Donakowski Jack Gager Pascal Heus Carson Hunter Sanda Ionescu Jeremy Iverson H.V. Jagadish Carl Lagoze Jared Lyle Alexander Mueller Sigbjørn Revheim Matthew A. Richardson Risnes Ørnulf Karunakara Seelam Dan Smith Tom Smith Jie Song Yashas Jaydeep Vaidya Ole Voldsater
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title_sort	provenance metadata for statistical data: an introduction to structured data transformation language (sdtl)
title_auth	Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)
abstract	Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software. The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files. SDTL also has potential for auditing scripts and for translating scripts between languages. SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats. Statistical software languages have a number of special features that have been carried into SDTL. We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”.
abstractGer	Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software. The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files. SDTL also has potential for auditing scripts and for translating scripts between languages. SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats. Statistical software languages have a number of special features that have been carried into SDTL. We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”.
abstract_unstemmed	Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software. The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files. SDTL also has potential for auditing scripts and for translating scripts between languages. SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats. Statistical software languages have a number of special features that have been carried into SDTL. We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”.
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title_short	Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)
url	https://doi.org/10.29173/iq983 https://doaj.org/article/fb9706d7bf2940e1aa033af99ecb14aa https://iassistquarterly.com/index.php/iassist/article/view/983 https://doaj.org/toc/2331-4141
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author2	Darrell Donakowski Jack Gager Pascal Heus Carson Hunter Sanda Ionescu Jeremy Iverson H.V. Jagadish Carl Lagoze Jared Lyle Alexander Mueller Sigbjørn Revheim Matthew A. Richardson Risnes Ørnulf Karunakara Seelam Dan Smith Tom Smith Jie Song Yashas Jaydeep Vaidya Ole Voldsater
author2Str	Darrell Donakowski Jack Gager Pascal Heus Carson Hunter Sanda Ionescu Jeremy Iverson H.V. Jagadish Carl Lagoze Jared Lyle Alexander Mueller Sigbjørn Revheim Matthew A. Richardson Risnes Ørnulf Karunakara Seelam Dan Smith Tom Smith Jie Song Yashas Jaydeep Vaidya Ole Voldsater
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The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files. SDTL also has potential for auditing scripts and for translating scripts between languages. SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats. Statistical software languages have a number of special features that have been carried into SDTL. We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”. </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">metadata</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">provenance</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">statistical data</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Social Sciences</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">H</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Darrell Donakowski</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jack Gager</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Pascal Heus</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Carson Hunter</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sanda Ionescu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jeremy Iverson</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">H.V. 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Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)

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