Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources
The responsible research assessments initiative aims to broaden the scope of what can be recognised in science evaluation. As a scientometric approach, the open educational resources (OER) statistics framework contributes to this mission by rewarding academic teaching as a performance class via OER....
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| Format: | Article |
| Language: | English |
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De Gruyter
2025-06-01
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| Series: | Open Information Science |
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| Online Access: | https://doi.org/10.1515/opis-2025-0017 |
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| _version_ | 1849431647645073408 |
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| author | Kullmann Sylvia |
| author_facet | Kullmann Sylvia |
| author_sort | Kullmann Sylvia |
| collection | DOAJ |
| description | The responsible research assessments initiative aims to broaden the scope of what can be recognised in science evaluation. As a scientometric approach, the open educational resources (OER) statistics framework contributes to this mission by rewarding academic teaching as a performance class via OER. Specialised OER infrastructures can be considered data providers for OER statistics. The analysis of selected OER infrastructures shows that in order to obtain comprehensive OER-related datasets that can be used for the determination of the OER statistics without significant additional effort, improvements in the metadata provided are needed. This applies to the completeness of databases, the use of persistent identifiers, and the references and attributions/citations of OER, but also to details such as information on quality, year of creation, version management, or granularity of OER. |
| format | Article |
| id | doaj-art-78ec1b0db7b14bf891f55ff43a67b483 |
| institution | Kabale University |
| issn | 2451-1781 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Information Science |
| spelling | doaj-art-78ec1b0db7b14bf891f55ff43a67b4832025-08-20T03:27:35ZengDe GruyterOpen Information Science2451-17812025-06-0191243210.1515/opis-2025-0017Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational ResourcesKullmann Sylvia0Information Center for Education, DIPF Leibniz Institute for Research and Information in Education, Rostocker Straße 6, 60323, Frankfurt am Main, GermanyThe responsible research assessments initiative aims to broaden the scope of what can be recognised in science evaluation. As a scientometric approach, the open educational resources (OER) statistics framework contributes to this mission by rewarding academic teaching as a performance class via OER. Specialised OER infrastructures can be considered data providers for OER statistics. The analysis of selected OER infrastructures shows that in order to obtain comprehensive OER-related datasets that can be used for the determination of the OER statistics without significant additional effort, improvements in the metadata provided are needed. This applies to the completeness of databases, the use of persistent identifiers, and the references and attributions/citations of OER, but also to details such as information on quality, year of creation, version management, or granularity of OER.https://doi.org/10.1515/opis-2025-0017open educational resourcesscientometric analysisresponsible research assessmentoer statisticsrecognition and reward system |
| spellingShingle | Kullmann Sylvia Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources Open Information Science open educational resources scientometric analysis responsible research assessment oer statistics recognition and reward system |
| title | Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources |
| title_full | Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources |
| title_fullStr | Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources |
| title_full_unstemmed | Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources |
| title_short | Towards OER Statistics: Data Requirements for the Scientometric Analysis of Open Educational Resources |
| title_sort | towards oer statistics data requirements for the scientometric analysis of open educational resources |
| topic | open educational resources scientometric analysis responsible research assessment oer statistics recognition and reward system |
| url | https://doi.org/10.1515/opis-2025-0017 |
| work_keys_str_mv | AT kullmannsylvia towardsoerstatisticsdatarequirementsforthescientometricanalysisofopeneducationalresources |