The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters.
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| Title: | The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters. |
|---|---|
| Authors: | Schmidt-Kloiber, Astrid1 astrid.schmidt-kloiber@boku.ac.at, Moe, S.2, Dudley, Bernard3, Strackbein, Jörg4, Vogl, Robert1 |
| Source: | Hydrobiologia. Mar2013, Vol. 704 Issue 1, p29-38. 10p. |
| Subjects: | Metadatabases, Ecology, Rivers, Lakes, Territorial waters |
| Geographic Terms: | Europe |
| Abstract: | In ecological sciences, the role of metadata (i.e. key information about a dataset) to make existing datasets visible and discoverable has become increasingly important. Within the EU-funded WISER project (Water bodies in Europe: Integrative Systems to assess Ecological status and Recovery), we designed a metadatabase to allow scientists to find the optimal data for their analyses. An online questionnaire helped to collect metadata from the data providers and an online query tool () facilitated data evaluation. The WISER metadatabase currently holds information on 114 datasets (22 river, 71 lake, 1 general freshwater and 20 coastal/transitional datasets), which also can be accessed by external scientists. We evaluate if generally used metadata standards (e.g. Darwin Core, ISO 19115, CSDGM, EML) are suitable for such specific purposes as WISER and suggest at least the linkage with standard metadata fields. Furthermore, we discuss whether the simple metadata documentation is enough for others to reuse a dataset and why there is still reluctance to publish both metadata and primary research data (i.e. time and financial constraints, misuse of data, abandoning intellectual property rights). We emphasise that metadata publication has major advantages as it makes datasets detectable by other scientists and generally makes a scientist's work more visible. [ABSTRACT FROM AUTHOR] |
| Copyright of Hydrobiologia is the property of Springer Nature 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: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 85386173 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Schmidt-Kloiber%2C+Astrid%22">Schmidt-Kloiber, Astrid</searchLink><relatesTo>1</relatesTo><i> astrid.schmidt-kloiber@boku.ac.at</i><br /><searchLink fieldCode="AR" term="%22Moe%2C+S%2E%22">Moe, S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dudley%2C+Bernard%22">Dudley, Bernard</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Strackbein%2C+Jörg%22">Strackbein, Jörg</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Vogl%2C+Robert%22">Vogl, Robert</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Hydrobiologia%22">Hydrobiologia</searchLink>. Mar2013, Vol. 704 Issue 1, p29-38. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Metadatabases%22">Metadatabases</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology%22">Ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Rivers%22">Rivers</searchLink><br /><searchLink fieldCode="DE" term="%22Lakes%22">Lakes</searchLink><br /><searchLink fieldCode="DE" term="%22Territorial+waters%22">Territorial waters</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In ecological sciences, the role of metadata (i.e. key information about a dataset) to make existing datasets visible and discoverable has become increasingly important. Within the EU-funded WISER project (Water bodies in Europe: Integrative Systems to assess Ecological status and Recovery), we designed a metadatabase to allow scientists to find the optimal data for their analyses. An online questionnaire helped to collect metadata from the data providers and an online query tool () facilitated data evaluation. The WISER metadatabase currently holds information on 114 datasets (22 river, 71 lake, 1 general freshwater and 20 coastal/transitional datasets), which also can be accessed by external scientists. We evaluate if generally used metadata standards (e.g. Darwin Core, ISO 19115, CSDGM, EML) are suitable for such specific purposes as WISER and suggest at least the linkage with standard metadata fields. Furthermore, we discuss whether the simple metadata documentation is enough for others to reuse a dataset and why there is still reluctance to publish both metadata and primary research data (i.e. time and financial constraints, misuse of data, abandoning intellectual property rights). We emphasise that metadata publication has major advantages as it makes datasets detectable by other scientists and generally makes a scientist's work more visible. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Hydrobiologia is the property of Springer Nature 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: 10.1007/s10750-012-1295-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 29 Subjects: – SubjectFull: Metadatabases Type: general – SubjectFull: Ecology Type: general – SubjectFull: Rivers Type: general – SubjectFull: Lakes Type: general – SubjectFull: Territorial waters Type: general – SubjectFull: Europe Type: general Titles: – TitleFull: The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schmidt-Kloiber, Astrid – PersonEntity: Name: NameFull: Moe, S. – PersonEntity: Name: NameFull: Dudley, Bernard – PersonEntity: Name: NameFull: Strackbein, Jörg – PersonEntity: Name: NameFull: Vogl, Robert IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00188158 Numbering: – Type: volume Value: 704 – Type: issue Value: 1 Titles: – TitleFull: Hydrobiologia Type: main |
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