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Sep 16, 2022 - TAPIR - (Teil-)Automatisiertes Persistent-Identifier-basiertes Reporting
Schnieders, Kathrin, 2022, "TAPIR - Dataset for identifying internal and external ORCID Coverage for Osnabrück University", https://doi.org/10.26249/FK2/ADQVEK, osnaData, V2
This dataset was created as part of the TAPIR project to identify internal ORCID coverage at Osnabrück University and to investigate external ORCID Coverage/Intersection in selected external open data sources (FREYA, ORCID, OpenAlex). Only researchers employed at Osnabrück Univer...
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Sep 16, 2022 - TAPIR - (Teil-)Automatisiertes Persistent-Identifier-basiertes Reporting
Schnieders, Kathrin, 2022, "TAPIR - Dataset for identifying internal and external ORCID Coverage for Leibniz Information Centre for Science and Technology Hannover", https://doi.org/10.26249/FK2/ZGVJAJ, osnaData, V2
This dataset was created as part of the TAPIR project to identify internal ORCID coverage at TIB – Leibniz Information Centre for Science and Technology Hannover — and to investigate external ORCID Coverage/Intersection in selected external open data sources (FREYA, ORCID, OpenAl...
Aug 22, 2022 - Fachbereich 08 - Humanwissenschaften
Hofschroeer, Patrick; Schumacher, Svenja Kristina; Mueller, Karsten, 2021, "Replication Data for: Does “very” make a difference? Effects of intensifiers in item stems of employee attitude surveys on response behavior", https://doi.org/10.26249/FK2/OEXOJH, osnaData, V3, UNF:6:3/Npv0iBIwjOkf0EsojTfQ== [fileUNF]
Employee attitude surveys are important tools for organizational development. To gain insights into employees’ attitudes, surveys most often use Likert-type items. Measures assessing these attitudes frequently use intensifiers (e.g., extremely, very) in item stems. To date little...
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