Data management tutorials
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 overview below contains a brief description of each tutorial and links to watch the tutorials online. If you would like to download the videos and transcripts you can do so here: IPBES Data Management Tutorials | Zenodo.
The 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 [email protected].
The series includes the following chapters:
- Chapter 1: Introduction to IPBES data management tutorials (10.5281/zenodo.4014762)
- Provides an overview on data management within the IPBES platform, and the series of the tutorials prepared by the task force on knowledge and data that will assist experts with the implementation of the IPBES data management policy.
- Chapter 2: IPBES data management policy (10.5281/zenodo.4014790)
- Provides an introduction of the IPBES data management policy. It discusses why IPBES has a data management policy and who is responsible for what in the implementation and further development of this policy.
- Chapter 3: IPBES data management reports (10.5281/zenodo.4014792)
- Provides an overview and discussion of specific elements of IPBES data management reports.
- Chapter 4: Data management of active research data (10.5281/zenodo.4014796)
- Provides an introduction for IPBES experts on how to manage data while actively being used, analyzed, and produced to fulfill the criteria of the IPBES data management policy.
- Chapter 5: Tools for data management (10.5281/zenodo.4014798 )
- Provides IPBES authors with an overview of open source tools used frequently by the scientific community to help it implement data management for the entire data life cycle.
- Chapter 6: Examples of implementing the IPBES data management Policy (10.5281/zenodo.4014802)
- Contains examples of how certain data management tasks and workflows were implemented within IPBES so that they follow the data management policy. Over time, diverse examples from different assessments and other IPBES projects will be added.
|Welcome remarks||This session introduces the data management tutorials series and places it within the wider IPBES context.||Rainer M. Krug||10.5281/zenodo.4018673|
|Introduction to IPBES tutorials and training||This session provides a short introduction detailing the objectives of these tutorials and the responsibilities of the IPBES secretariat regarding data management.||Benedict D. Aboki Omare||10.5281/zenodo.4014804|
|IPBES and data management||This session briefly covers how data management is involved in and influences each objective of the IPBES platform.||Joy A. Kumagai||10.5281/zenodo.4018578|
|Introduction to the IPBES data management tutorials||This session summarizes the purpose of the data management tutorials, what they cover, and where to find transcripts and documentation.||Joy A. Kumagai||10.5281/zenodo.4014814|
|Introduction to the data management policy||This session defines what a data management policy is and why it is important.||Howard Nelson||10.5281/zenodo.4018580|
|Why a data management policy for IPBES and how it concerns experts||This session provides background on what IPBES wants to achieve with its data management policy and how it impacts experts within IPBES.||Rainer M. Krug||10.5281/zenodo.4014818|
|Roles and responsibilities||This session on roles and responsibilities outlines the responsibilities of all involved players as stipulated in the IPBES Data Management Policy. These are discussed in light of the importance for IPBES experts.||Rainer M. Krug||10.5281/zenodo.4014820|
|Implementation of the data management policy||This session provides a brief overview of the contents of the following chapters and how it all works together to improve the transparency and credibility of IPBES.||Joy A. Kumagai||10.5281/zenodo.4018587|
|General introduction to data management reports (DOI: 10.5281/zenodo.4018591)||This session provides a general introduction to data management reports and explains the difference between data management plans and data management reports.||Debora Pignatari Drucker||10.5281/zenodo.4018591|
|Structure of a data management report and versioning||This session details the structure of a data management report and guidelines for versioning.||Debora Pignatari Drucker||10.5281/zenodo.4018603|
|Data management report details: Data and metadata documentation and curation||This session reviews what should be included in metadata and why it should be tracked in a data management report.||Dave Thau||10.5281/zenodo.4018610|
|Data management report details: File formats||This session focuses on specific recommended file formats for text, tabular data, images, sound, and geospatial data.||Dave Thau||10.5281/zenodo.4018610|
|Data management report details: Sensitive data, anonymization, and ethical considerations||This session captures specific considerations and processes for IPBES experts regarding sensitive data and Indigenous and local knowledge within data management reports.||Joy Kumagai||10.5281/zenodo.4018619|
|Data management report details: Data sharing and access considerations||This session covers details on licenses, exceptions to data sharing, and intellectual property considerations||Grégoire Dubois||10.5281/zenodo.4018619|
|Data management report details: Long-term storage details||This session explores the reasons why IPBES recommends Zenodo as a long-term repository.||Grégoire Dubois||10.5281/zenodo.4018629|
|General introduction to the management of active research data||This session covers what active data management is, why it is important, and considerations for key decisions made in this process.||Fatima Parker-Allie||10.5281/zenodo.4018633|
|Recommendations for workflow establishment and data management||This session provides recommendations for data management including the generation of workflows and data storage.||Hanno Seebens||10.5281/zenodo.4018635|
|Recommendations and considerations for data backups||This session reviews the importance of data backups, provides resources for further information, and discusses specific considerations one should keep in mind.||Hanno Seebens||10.5281/zenodo.4014830|
|Examples on active data management||This session gives concrete best-practice examples of how the recommendations could be integrated into the daily work of researchers||Hanno Seebens||10.5281/zenodo.4014832|
|Guidelines for the use of external data||This session introduces the guiding principles for using external data, data discovery platforms, and correct citation practices.||Tim Hirsch||10.5281/zenodo.4014834|
|Working with ILK during the assessments: FPIC, FAIR, and CARE||This session introduces key concepts, challenges, and processes for applying free, prior, and informed consent and the FAIR and CARE principles when working with Indigenous and local knowledge within IPBES.||Peter Bates||10.5281/zenodo.6861060|
|Introduction to tools for data management||This introductory session for the tools for data management chapter reviews the characteristics that open source tools should have.||Benedict D. Aboki Omare||10.5281/zenodo.4018639|
|Tools to find and attribute DOIs||This session covers fundamental background information on digital object identifiers and how to resolve and reserve them.||Joy A. Kumagai||10.5281/zenodo.4018643|
|Literature access tools||This session introduces Research4Life, a tool which provides experts in middle to low income countries access to scientific and grey literature.||Benedict D. Aboki Omare||10.5281/zenodo.4014824|
|Processing and analysis||This session reviews common scripting languages for data analysis and processing, such as python and R.||Dave Thau||10.5281/zenodo.4018647|
|References and citation manager: Zotero||This session reviews why IPBES recommends Zotero to manage references and provides links to key resources.||Grégoire Dubois||10.5281/zenodo.4018653|
|Publishing and sharing||This session introduces GitHub and Zenodo as two important open access tools for sharing and publishing information.||Grégoire Dubois||10.5281/zenodo.4018655|
|Data management best practices||This session provides a general review of some best practices of data management and what to expect for this chapter.||Rainer M. Krug||10.5281/zenodo.4018663|
|Literature review from the Global Assessment chapter 4||This session walks you through each step of the data management of the systematic literature review from the Chapter 4 of the Global Assessment.||Rainer M. Krug||10.5281/zenodo.4018667|