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IPBES Data Management Tutorials - Session 6.1: Data management best practices

Authors: Rainer Krug; IPBES task force on knowledge and data;

IPBES Data Management Tutorials - Session 6.1: Data management best practices

Abstract

The IPBES data management tutorials are short videos to help experts implement the IPBES data management Policy. They cover topics ranging from data management policy, reports, active research data, tools, and examples. The chapter on Examples of implementing the IPBES data management Policy contains examples of how certain data management tasks and workflows were implemented within IPBES so that they follow the data management policy. Currently, this chapter contains legacy videos and the most recent examples can be found within the IPBES technical guidelines here: https://ict.ipbes.net/ipbes-ict-guide/data-management/technical-guidelines This session, data management best practices, provides a general review of some best practices of data management and what to expect for this chapter.

{"references": ["IPBES (2020): IPBES Data Management Policy ver. 1.0. Task Force on Knowledge and Data, Krug, R.M., Omare, B., and Niamir, A. (eds.) IPBES secretariat, Bonn, Germany. DOI: 10.5281/zenodo.3551079"]}

These tutorials were created in collaboration between the IPBES task force on knowledge and data and the IPBES task force on capacity building. For inquires please contact tsu.data@ipbes.net

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Keywords

IPBES, data management policy

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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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