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Data · dataset · 2011

An Analysis of Current Grey Literature Document Typology

Listed in DANS Data Station Social Sciences and Humanities

This analysis is based on the classification of the systems GreyNet, OpenSIGLE, Czech ASEP, RIV and others.

Description

During the analysis of the lists of document types, we have discovered that these typologies contain, besides "real" document types (reports, theses, etc.) other aspects, such as events (arrangement, organization), types of events (conferences, speeches), producers (universities, institutes), processes (translations, output), content (political documents, legal texts), location (domestic, foreign), and format (e-texts, numeric data).

However, this approach is not systematic. Therefore, we have decided to create a classification scheme for document types only, and classify other aspects into various groups in order to define them more precisely. The scheme will be processed in a text version as well as schematically in mind maps.

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We believe that identifying a specific typology for credible grey literature document types, particularly reports, conference proceedings, and government documents, will assist in the classification of grey literature in the fields of science, research, and education. On the other hand, grey literature also consists of various means of communication, such as telephone calls, meetings, e-mails, blogs, interviews, social networking tools, or discussions in Wiki.

It is important to identify only credible document types and not use unverified information that may be unsuitable for scientific work. The aim of this analysis is therefore to create, define, and implement a current credible grey literature document typology, in order to open discussions in the grey literature community, leading to a means of collecting GL from reputable events and producers rather than relying on social networking tools or Wiki contributions.

While the later types of sources can assist researchers, scientists, and teachers with their information-seeking pursuits, document of this nature needs to be evaluated on a regular basis.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Arts and Humanities
From keywords
Humanities · Social Science
Inferred from text
Linguistics 70% · Text 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DANS Data Station Social Sciences and Humanitiesdoi:10.17026/DANS-ZHP-XAUD11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4704enrichment · ssh datastations nltaxonomy-embedding@1.0.0title+keywords+description (70%)
concepts[field].dataverse_subject:arts-and-humanitiessource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/subjects
concepts[modality].local:modality:textenrichment · ssh datastations nlkeyword-concept-rules@1.0.0title+description (75%)
created_datesource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0
descriptionsource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/description
publication_datesource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0
titlesource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0/name
updated_datesource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0
version_labelsource · ssh datastations nlconnector:ssh_datastations_nl@1.0.0