National Repository of Grey Literature 19 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Scientific Data: Increasing Transparency and Reducing the Grey
Carroll, Bonnie C. ; Crowe, June ; Candlish, J.R.
The foundation for all scientific research begins with data, however most scientific datasets are not publicly available and are an increasingly important part of the body of scientific grey literature.
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Poster Presentations
Grey Literature in Engineering Sciences and Technology and its use pattern in the research institutions in India: The case study of the Karnataka State; Awareness Not Genre Matters: Findings from a Case Study of the Scientific Grey Literature of an Inter-governmental Organization; Delivering Grey Literature with a “Books by Mail” Lending Library; Circulation Improvement of Articles in Journals written by Non-English Language – Development of a Special Journal Titles Translation List of Journals written in Japanese for the International Bibliographical Database; Scanning to PDFA: A Demonstration Project for Access and Preservation of Grey Literature; What the Future holds in store for GreyNet International: Findings from a Business Report 2010-2011; Managing the Access to the Scientific Grey Literature through Internet and Free Software; Publishing the vocabulary of the types of grey literature as linked data; National Repository of Grey Literature in the Czech Republic; Extending the “Facets” concept by applying NLP tools to catalog records of scientific literature; Usage assessment of an institutional repository : A case study; ISO Standards for Quality Education and Training for Facilitating Access to Grey Literature
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GL Transparency: Through a Glass, Clearly
Jeffery, Keith G. ; Asserson, Anne
GL (Grey literature, interpreted here as grey objects) is very heterogeneous in content, form and quality. Most GL objects evolve through a workflow. Some of these phases involve some form of evaluation or peer review, commonly internal within the management structure of an organisation and possibly involving external advice, including from ‘friendly peers’ via an e-preprint mechanism. Unlike white literature the evaluation process commonly is unrecorded and undocumented. This leads to accusations that grey literature lacks quality and transparency.
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Invenio: A Modern Digital Library System for Grey Literature
Caffaro, Jérôme ; Kaplun, Samuele
Grey literature has historically played a key role for researchers in the field of High- Energy Physics (HEP). Consequently CERN (European Organization for Nuclear Re- search) as the world's largest particle physics laboratory has always been facing the challenge of distributing and archiving grey material. Invenio, an open-source reposi- tory software, has been developed as part of CERN's institutional repository strategy to answer these needs.
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A Profile of Italian Working Papers in RePEc
Cesare, Rosa Di ; Luzi, Daniela ; Ricci, Marta ; Ruggieri, Roberta
This paper describes the results of an analysis of Italian Working papers (WP) available both in RePEc (Research Papers in Economics) and in Institutional Repositories (IR) and websites. Given that RePEc is a disciplinary repository based on the active involvement of economic institutions, rather than authors, our analysis intends to explore the institutions’ propensity for making their collections available both in disciplinary and Institutional repositories. Therefore, the paper provides a profile of the Italian Economics institutions participating in RePEc as well as an in-depth analysis of the their availability WPs and WP series. Moreover, IRs and websites of the Italian institutions participating in RePEc were analysed to compare the scientific contents available in these important sources of free access information (RePEc, IRs and websites).
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Integration of an Automatic Indexing System within the Document Flow of a Grey Literature Repository
Mynarz, Jindrich ; Škuta, Ctibor
The Web empowered the authors of grey literature to publish their work on their own. In case of self-published works their author is also their indexer. And because not many of the grey literature authors are professional indexers, this may result in poor or no indexing. Even though the Web made publishing easier, indexing is still hard. Nevertheless, we believe that the web technologies and machine learning algorithms may help to reduce the cognitive overhead involved in indexing, and make it eventually as easy as publishing on the Web is.
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