FAIRagro Survey: Data quality in the application of agricultural system data
FAIRagro Survey: Data quality in the application of agricultural system data
This collection contains the results of the FAIRagro survey ‘Data quality in the application of agrosystem data’ in the form of a report with a graphical representation of the results, the question catalogue and a table with the answers of all completed data sets. The survey was online available from 14 November 2023 to 21 January 2024 and was answered by 321 people, 211 of whom answered all questions completely. The survey consisted of 27 questions on data quality in the areas of data collection, data re-use and application in practice. FAIRagro is a Consortium of the German National Research Data Infrastructure (NFDI) aiming to make datamanagement in the agrosystem science domain FAIR. You can reach us at fairagro@zalf.de.
- Leibniz Association Germany
- Leibniz Institute for Agricultural Engineering and Bioeconomy Germany
- Julius Kühn-Institut Germany
M3.3, Data quality, M2.2, FAIRagro
M3.3, Data quality, M2.2, FAIRagro
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!