Data rescue archive weather (DRAW).
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| Title: | Data rescue archive weather (DRAW). |
|---|---|
| Authors: | Park, Eun G.1,2,3,4 eun.park@mcgill.ca, Burr, Gordon1,2,3,4 gordon.burr@mcgill.ca, Slonosky, Victoria1,2,3,4 victoria.slonosky@mail.mcgill.ca, Sieber, Renee1,2,3,4 renee.sieber@mcgill.ca, Podolsky, Lori1,2,3,4 lori.podolsky@mcgill.ca |
| Source: | Journal of Documentation. 2018, Vol. 74 Issue 4, p763-780. 18p. |
| Subject Terms: | *Information storage & retrieval systems, *Digital libraries, *Data analysis, *Metadata, *Information services, Weather forecasting |
| Abstract: | Purpose To rescue at-risk historical scientific data stored at the McGill Observatory, the objectives of the Data Rescue Archive Weather (DRAW) project are: to build a repository; to develop a protocol to preserve the data in weather registers; and to make the data available to research communities and the public. The paper aims to discuss these issues.Design/methodology/approach The DRAW project adopts an open archive information system compliant model as a conceptual framework for building a digital repository. The model consists of data collection, conversion, data capture, transcription, arrangement, description, data extraction, database design and repository setup.Findings A climate data repository, as the final product, is set up for digital images of registers and a database is designed for data storage. The repository provides dissemination of and access to the data for researchers, information professionals and the public.Research limitations/implications Doing a quality check is the most important aspect of rescuing historical scientific data to ensure the accuracy, reliability and consistency of data.Practical implications The DRAW project shows how the use of historical scientific data has become a key element in research analysis on scientific fields, such as climatology and environmental protection.Originality/value The historical climate data set of the McGill Observatory is by nature unique and complex for preservation and research purposes. The management of historical scientific data is a challenge to rescue and describe as a result of its heterogeneous and non-standardized form. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Documentation is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 129428443 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data rescue archive weather (DRAW). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Park%2C+Eun+G%2E%22">Park, Eun G.</searchLink><relatesTo>1,2,3,4</relatesTo><i> eun.park@mcgill.ca</i><br /><searchLink fieldCode="AR" term="%22Burr%2C+Gordon%22">Burr, Gordon</searchLink><relatesTo>1,2,3,4</relatesTo><i> gordon.burr@mcgill.ca</i><br /><searchLink fieldCode="AR" term="%22Slonosky%2C+Victoria%22">Slonosky, Victoria</searchLink><relatesTo>1,2,3,4</relatesTo><i> victoria.slonosky@mail.mcgill.ca</i><br /><searchLink fieldCode="AR" term="%22Sieber%2C+Renee%22">Sieber, Renee</searchLink><relatesTo>1,2,3,4</relatesTo><i> renee.sieber@mcgill.ca</i><br /><searchLink fieldCode="AR" term="%22Podolsky%2C+Lori%22">Podolsky, Lori</searchLink><relatesTo>1,2,3,4</relatesTo><i> lori.podolsky@mcgill.ca</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Documentation%22">Journal of Documentation</searchLink>. 2018, Vol. 74 Issue 4, p763-780. 18p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+libraries%22">Digital libraries</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Metadata%22">Metadata</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+services%22">Information services</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose To rescue at-risk historical scientific data stored at the McGill Observatory, the objectives of the Data Rescue Archive Weather (DRAW) project are: to build a repository; to develop a protocol to preserve the data in weather registers; and to make the data available to research communities and the public. The paper aims to discuss these issues.Design/methodology/approach The DRAW project adopts an open archive information system compliant model as a conceptual framework for building a digital repository. The model consists of data collection, conversion, data capture, transcription, arrangement, description, data extraction, database design and repository setup.Findings A climate data repository, as the final product, is set up for digital images of registers and a database is designed for data storage. The repository provides dissemination of and access to the data for researchers, information professionals and the public.Research limitations/implications Doing a quality check is the most important aspect of rescuing historical scientific data to ensure the accuracy, reliability and consistency of data.Practical implications The DRAW project shows how the use of historical scientific data has become a key element in research analysis on scientific fields, such as climatology and environmental protection.Originality/value The historical climate data set of the McGill Observatory is by nature unique and complex for preservation and research purposes. The management of historical scientific data is a challenge to rescue and describe as a result of its heterogeneous and non-standardized form. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Documentation is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1108/JD-10-2017-0150 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 763 Subjects: – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Digital libraries Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Metadata Type: general – SubjectFull: Information services Type: general – SubjectFull: Weather forecasting Type: general Titles: – TitleFull: Data rescue archive weather (DRAW). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park, Eun G. – PersonEntity: Name: NameFull: Burr, Gordon – PersonEntity: Name: NameFull: Slonosky, Victoria – PersonEntity: Name: NameFull: Sieber, Renee – PersonEntity: Name: NameFull: Podolsky, Lori IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00220418 Numbering: – Type: volume Value: 74 – Type: issue Value: 4 Titles: – TitleFull: Journal of Documentation Type: main |
| ResultId | 1 |
