Event Details

Data management is a core part of scientific research, environmental monitoring and auditing, and compliance. Yet it remains a neglected part of most natural scientists' toolkits and training, as we must learn, largely unaided, the complexities of managing our datasets for ease of access, collaboration, future meta-analysis and legal compliance.


The course will cover the basic principles and standards of data management, including planning, collecting and packaging data, how data management can improve your work, and the ethical, legal and contractual obligations that can be met by good data management.


This introductory course builds upon twenty years of experience in monitoring rangelands, integrating third-party datasets, and conducting long-term ecological research using a mixture of original and pre-existing data.

Tickets

Data Management for Natural Scientists Course

GSSA Members Price

Member Price R 1,000
Data Management for Natural Scientists Course

Non-Members Price

Standard Price R 1,200
Data Management for Natural Scientists Course

Student Price (for full time registered students)

Standard Price R 900

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Earn CPD Points!

Agenda

09:00 - 09:30
Importance of data management and basic principles
What is data management and why is it important?Data management is not the same as data science.What this seminar aims to achieve in one day.There are legal, contractual and ethical requirem...
What is data management and why is it important?
Data management is not the same as data science.
What this seminar aims to achieve in one day.
There are legal, contractual and ethical requirements for data management
The basic principles of data management
Accessibility, transparency, searchability, compatibility, future-proofing, meta-data and logs
FAIR – Findable, Accessible, Interoperable, Reusable
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09:30 - 11:00
Organising your data
The PLEMO – G framework- Project- Location- Event- Methods- Observations- Global referencesDocumentation and metadataIndexing and cross-referencing Keeping data separate from processingGloba...
The PLEMO – G framework
- Project
- Location
- Event
- Methods
- Observations
- Global references
Documentation and metadata
Indexing and cross-referencing
Keeping data separate from processing
Global data
- Citations, taxonomies, lookups and reference tables, contacts, financial records and administrative processes, laws and regulations, standard models and calibrations
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11:00 - 11:05
Tea
11:05 - 12:05
Documentation and metadata
Documentation and metadataIndexing and cross-referencing Keeping data separate from processingGlobal data- Citations, taxonomies, lookups and reference tables, contacts, financial records an...
Documentation and metadata
Indexing and cross-referencing
Keeping data separate from processing

Global data
- Citations, taxonomies, lookups and reference tables, contacts, financial records and administrative processes, laws and regulations, standard models and calibrations
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12:05 - 13:00
Developing a data management plan and designing a workflow
- Standard Operating Procedures, workflows, responsibilities, platforms, packages and hardware/stationary requirements- Training and practiceCollection and processing protocolsArchiving, bac...
- Standard Operating Procedures, workflows, responsibilities, platforms, packages and hardware/stationary requirements
- Training and practice
Collection and processing protocols
Archiving, backing up, indexing and sharing
Physical data
Open-source, open standards
Digital data transfer and management
- Understanding data formats
- Managing multiple electronic devices and apps
Third-party data
- Verbatim versus cleaned data
Collaboration, compliance, consistency
- Version control and managing inputs, validation and outputs
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13:00 - 13:30
Lunch
13:30 - 14:15
Structuring your data: The nuts and bolts of good practice
- Flattening and standardizing data- How to manage verbatim data- Data formats and standards- Understanding immutable and mutable objects- Generating a data package for sharing- Generating m...
- Flattening and standardizing data
- How to manage verbatim data
- Data formats and standards
- Understanding immutable and mutable objects
- Generating a data package for sharing
- Generating metadata
- Document, document and document some more
Exorcizing Excel – learn to kick the spreadsheet habit
- Spreadsheets are useful and powerful but have significant limitations and can enable many bad habits in data management.
- Practical steps for organising and capturing data, whether using spreadsheets, pen and paper, or other software.
Relational versus non-relational databases
- Brief discussion of the major types of data storage
- Advantages and disadvantages of each
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14:15 - 14:45
Resources and tools
- What to look for and where to find it- Some of the tools I use, and many others (GIS, database, analytic tools, image management, bibliographic databases, accounting and project management...
- What to look for and where to find it
- Some of the tools I use, and many others (GIS, database, analytic tools, image management, bibliographic databases, accounting and project management, etc)
- Learning resources
- Guidelines and standards for data management (including Darwin Core, Ecological Metadata Language, POPIA, Licencing types, South African National Integrated ICT Policy White Paper, SANBI Biodiversity Guidelines etc)
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Speakers

  • Alan Short (Ecologist at Themeda Eco Consulting)

    Alan Short

    Ecologist at Themeda Eco Consulting

    https://www.ThemedaEco.co.za

    Alan Short is a rangeland ecologist with many years of experience in long-term monitoring programs and multi-disciplinary projects in southern Africa.

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Documents