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Country: Australia 

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Content provider: Australian BioCommons  or Australian Society of Archi...  or ACSPRI 

  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping

  • WEBINAR: Deciphering AI for the Life Sciences

    18 March 2025

    WEBINAR: Deciphering AI for the Life Sciences https://dresa.org.au/events/webinar-deciphering-ai-for-the-life-sciences Curious about how Artificial Intelligence (AI) is transforming life sciences? AI is reshaping life sciences by enabling researchers to analyse complex datasets, automate workflows, and gain deeper insights into biological processes. This introductory webinar will break down AI concepts, clarify key terminology, and showcase real-world examples of AI applications in the life sciences. **Learning outcomes** This webinar, will help you: - Define key AI-related terms - Understand the historical progression of AI and how it has evolved to impact life sciences - Recognise key AI applications in specific life science domains - Understand the benefits and limitations of AI - Navigate available learning resources to explore AI further **Speakers**: Dr Benjamin Goudey, AI Technical Lead, Australian BioCommons **Date/Time**: 18 March 2024, 12 - 1 pm AEDT/ 11am - 12 pm AEST / 11:30am - 12:30 pm ACDT / 9 - 10 am AWST [check in your timezone](https://www.timeanddate.com/worldclock/fixedtime.html?msg=Deciphering+AI+for+the+Life+Sciences&iso=20250318T12&p1=152&ah=1) **Who the webinar is for**: - Wet lab scientists with minimal computational background and eager to apply AI to their experimental workflows; - Bioinformaticians/computational scientists with some programming experience but new to AI, interested in integrating AI in their pipelines; - Research leads and decision-makers interested in the strategic impact of AI. **How to join**: This webinar is free to join but you must register for a place in advance. [Register here](https://unimelb.zoom.us/webinar/register/WN_fdkrX7C3Q1qn21W1MSFXDA) 2025-03-18 12:00:00 UTC 2025-03-18 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all BioinformaticsIntroductoryAILife Science

  • WORKSHOP SERIES: Submitting sequencing data and genome assemblies to the European Nucleotide Archive

    24 March - 4 April 2025

    WORKSHOP SERIES: Submitting sequencing data and genome assemblies to the European Nucleotide Archive https://dresa.org.au/events/workshop-series-submitting-sequencing-data-and-genome-assemblies-to-the-european-nucleotide-archive The European Nucleotide Archive (ENA) is the European node of the International Nucleotide Sequence Database Collaboration (INSDC), providing a comprehensive record of the world’s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. The three INSDC members (ENA, NCBI-SRA and DDBJ-SRA) routinely exchange data which ensures nucleotide data is archived and shared across geographically dispersed locations (Europe, USA and Japan). The ENA is provided by EMBL’s European Bioinformatics Institute, EMBL-EBI. ENA team members Dr Joana Pauperio and Maira Ihsan will deliver a series of related workshops on submitting raw read sequencing, Metagenome-Assembled Genome (MAG), environmental DNA (eDNA) and genome assembly and annotation data to ENA.* Each workshop will begin with an introduction to the ENA data and metadata model. You will then be guided through hands-on exercises using example data sets to practice data submission via one of three submission routes: Interactive web-based submission: these are completed by filling out web forms in your browser and downloading template spreadsheets that can be completed off-line and uploaded to ENA. Command-line based submission: Data submissions of this type are completed via the command line using ENA's bespoke Webin-CLI program. This validates your submissions entirely before you complete them, allowing you maximum control of the process. Webin-CLI is the only way to submit assembled genomes and transcriptomes. Programmatic submission: these are completed by preparing your submissions as XML/JSON documents and either sending them to ENA using a program such as cURL or using ENA's Webin Portal. *This series is designed with flexibility in mind. You can apply to attend one or more workshops \- choose the workshop(s) most relevant to you.* | Date/Time | Workshop title| Dataset | Submission route | | ----- | ----- | ----- | ----- | | 25 March 2025 1 \- 4 pm AEDT | Submitting raw read sequencing data using interactive web-based tools | Raw reads | Interactive web-based submission | | 26 March 2025 1 \- 4 pm AEDT | Submitting raw read sequencing data using programmatic tools | Raw reads | Programmatic submission | | 27 March 2025 1 \- 3 pm AEDT | Submitting raw-read sequencing data using command line based tools | Raw reads | Command-line submission | | 31 March 2025 1 \- 4 pm AEDT | Submitting genome assembly and annotation data using the command line | Genome assembly and annotation data | Command-line submission | | 1 April 2025 1 \- 4 pm AEDT | Submitting Metagenome-Assembled Genome (MAG) data to ENA and MGNify using the command line | Metagenome-Assembled Genome (MAG) | Command-line submission | | 2 April 2025 1 \- 4 pm AEDT | Submitting environmental DNA (eDNA) data | Environmental DNA (eDNA) | Multiple methods in development | **Learning outcomes:** By the end of each workshop you should be able to: * Identify the importance of data sharing * Outline the purpose of the ENA * Explain the ENA Metadata Model and the importance of metadata * Describe the data submission routes at the ENA * Identify the range of tools and services offered by the ENA for data submission * Submit the demonstrated data type using the ENA submission route shown in the workshop(s) you attend **Location:** Online via Zoom. **Date/Time:** 25 March to 3 April 2025\. All times are provided in AEDT (Melbourne). [Check the start time at your location](https://www.timeanddate.com/worldclock/fixedtime.html?ah=3&iso=20250325T13&msg=ENA%20workshop%20miniseries&p1=152). **Lead Trainers:** Maira Ihsan, User Support Bioinformatician, European Nucleotide Archive, EMBL-European Bioinformatics Institute Dr Joana Pauperio, Biodiversity Curator, European Nucleotide Archive, EMBL-European Bioinformatics Institute **Who these workshops are for:** This series of related workshops is for Australian-based life scientists and bioinformaticians who are working with nucleotide sequencing data and who would benefit from submitting their data to the INSDC. **Prerequisites:** You must be associated with an Australian organisation to participate in these workshops. Interactive submission routes: none Programmatic submission routes: some understanding of XML and JSON file formats is recommended Command line submission route: a basic understanding of how to interact with the command line is required **How to join:** [**Register here**](https://ena-data-submission.eventbrite.com.au/) Attendance at these workshops is fully subsidised, but registrations are essential. You can apply to attend one or more workshops \- choose the workshop(s) most relevant to you on the registration form. Details on how to join and essential preparation steps will be provided closer to the date of the workshops. *This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter.* 2025-03-24 09:00:00 UTC 2025-04-04 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all []

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    28 - 29 March 2025

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling-e8d89bd0-1e2e-44ba-b3bf-5f3094a2130f This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. Regression modelling is a foundation in data science and a must for anyone wanting to venture into this space. Understanding when and how to use linear and non-linear regression models in everyday research is an essential skill for any analyst. Linear and non-linear regression models are commonly used to quantify the relationship between two or more variables by predicting a key outcome of interest. These models are used as effective and powerful tools to control for the potential confounding effect of extraneous variables and/or developing highly predictive models. Linear regression relates to continuous outcomes and is a fundamental regression technique in data science. Logistic regression is used when the outcome of interest is categorical and a fundamental classification technique in data science. When there is no theoretical or mechanistic model to suggest a particular functional form to describe the relationship between two or more variables of interest, Generalized Additive Models (GAMs) can used as they fit a nonparametric curve to the data without requiring pre-defining any particular mathematical model to describe the nonlinearity. Gaining a sound understanding of all these models is essential to understand when it is appropriate to use these techniques. 2025-03-28 09:30:00 UTC 2025-03-29 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • WORKSHOP: Retrieving nucleotide sequencing data from the European Nucleotide Archive

    3 April 2025

    WORKSHOP: Retrieving nucleotide sequencing data from the European Nucleotide Archive https://dresa.org.au/events/workshop-retrieving-nucleotide-sequencing-data-from-the-european-nucleotide-archive The European Nucleotide Archive (ENA) is the European node of the International Nucleotide Sequence Database Collaboration (INSDC), providing a comprehensive record of the world’s nucleotide sequencing information, covering raw read sequencing data, sequence assembly information and functional annotation. The three INSDC members (ENA, NCBI-SRA and DDBJ-SRA) routinely exchange data which ensures nucleotide data is archived and shared across geographically dispersed locations (Europe, USA and Japan). The ENA is provided by EMBL’s European Bioinformatics Institute, EMBL-EBI. This workshop provides an introduction to the ENA data and metadata model and data retrieval tools, followed by an opportunity to practice retrieving a range of different data types from the ENA using a variety of tools and protocols. **Learning outcomes:** By the end of this workshop you should be able to: * Outline the ENA data and metadata standards * Identify the metadata fields associated with different data types submitted to the INSDC * Build queries based on the datasets you would like to retrieve * Describe of the range of tools offered by the ENA to download data files * Practice data retrieval using the ENA advanced search **Location:** Online via Zoom. **Date/Time:** Thursday 3 April 2025, 1 \- 3 pm AEDT / 12 \- 2 pm AEST / 12:30 \- 2:30 pm ACDT / 10 am \- 12 pm AWST. [Check the start time at your location](https://www.timeanddate.com/worldclock/fixedtime.html?ah=2&iso=20250403T13&msg=WORKSHOP%3A%20Retrieving%20nucleotide%20sequencing%20data%20from%20the%20European%20Nucleotide%20Archive&p1=152). **Lead Trainers:** * Dr Joana Pauperio, Biodiversity Curator, European Nucleotide Archive, EMBL-European Bioinformatics Institute * Maira Ihsan, User Support Bioinformatician, European Nucleotide Archive, EMBL-European Bioinformatics Institute **Who this workshop is for:** This workshop is for Australian life science researchers and bioinformaticians working with nucleotide sequencing data. It is suitable for researchers who are interested in accessing, downloading and using data retrieved from the ENA. **Prerequisites:** You must be associated with an Australian organisation to participate in this workshop. **How to join:** [**Register here**](https://ena-data-retrieval.eventbrite.com.au/) Attendance at this workshop is fully subsidised, but registrations are essential. Details on how to join and essential preparation steps will be provided closer to the date of the workshop. *This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter.* 2025-04-03 13:00:00 UTC 2025-04-03 15:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all []

  • Collecting, Managing and Analysing Qualitative Interview Data: Online

    7 - 8 April 2025

    Collecting, Managing and Analysing Qualitative Interview Data: Online https://dresa.org.au/events/collecting-managing-and-analysing-qualitative-interview-data-online This two-day online course will address the issues of preparing for, collecting, managing and analysing data from Face to Face and Focus Group interviews from a practical perspective. The emphasis is on practical experience and the gaining of practice-based skills with regard to conducting both face to face and focus group interviews in person and online and in gaining experience in analysing data. 2025-04-07 09:30:00 UTC 2025-04-08 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all qualitative interviewingQualitative methodsqualitative dataQualitative Researchqualitative

  • Discourse Analysis: Online

    28 - 29 April 2025

    Discourse Analysis: Online https://dresa.org.au/events/discourse-analysis-online Utilising existing data in qualitative research is extremely valuable either as a total data set in its own right or as a subset to enhance interview and observational data sets. Michael Foucault initiated the basic approach to dealing with existing spoken, written or visual data such as policy documents, case notes, photos, articles etc. and this was later further developed by Norman Fairclough into Critical Discourse analysis. This two-day online course will demonstrate with practical examples, the two major approaches to analysing dicourses: Foucauldian and Critical Discourse Analysis. 2025-04-28 09:30:00 UTC 2025-04-29 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all Qualitative ResearchQualitative methodsqualitativediscourse analysisqualitative data

  • Introduction to Python for Social Sciences: Online

    2 - 3 May 2025

    Introduction to Python for Social Sciences: Online https://dresa.org.au/events/introduction-to-python-for-social-sciences-online One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. You will be introduced to Anaconda, setting up a Python environment and using Jupyter Notebook to run the workshop examples. This masterclass offers a step-by-step, interactive introduction to Python for participants with no experience with this software package. This masterclass, part of the ACSPRI suite of courses in social data science, is specially designed for those who want to learn how to use Python for data manipulation and statistical analysis. 2025-05-02 09:30:00 UTC 2025-05-03 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all pythonStatistical Methodsapplicationapplied statisticsCoding

  • Harnessing MAXQDA for Qualitative Analysis: Online

    17 - 18 June 2025

    Harnessing MAXQDA for Qualitative Analysis: Online https://dresa.org.au/events/harnessing-maxqda-for-qualitative-analysis-online This master-class provides a comprehensive introduction to the use of MAXQDA for qualitative analysis, focusing on harnessing its tools appropriately within methodological contexts. Combining discussion, demonstration and guided instruction participants gain hands-on experience of using tools for analytic tasks. 2025-06-17 15:00:00 UTC 2025-06-18 18:15:00 UTC ACSPRI Online via Zoom, Melbourne, Australia Online via Zoom Melbourne Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all MaxQDAQualitative ResearchData analysisQualitative methodsTools

  • Foundations of Qualitative Methodologies, Data Collection and Analysis: Online

    30 June - 2 July 2025

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online-47cd28ea-1b7a-4675-bd21-5c4d9721af8c This is an introductory course which deals with the major decisions qualitative researchers needs to make initially: -research design and ethics -qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. The target audience for this course is those who would like to become more familiar with qualitative research decisions and techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2025-06-30 09:30:00 UTC 2025-07-02 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative interviewingEthicsHREC; Research ethicsData Analysis

  • Data Analysis Using Stata: Online

    30 June - 4 July 2025

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online-c4f3212e-bf77-4458-a7d2-b265ffd5bf0e Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2025-06-30 10:00:00 UTC 2025-07-04 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online

    7 - 11 July 2025

    Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-online-d8e1bd96-2adf-49f6-a4aa-16b853677804 In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2025-07-07 09:30:00 UTC 2025-07-11 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo

  • Multi-level Analysis using Mplus: Online

    7 - 11 July 2025

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online-5bc9823f-3205-4e0a-81ac-8bcdce6a1012 This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2025-07-07 10:00:00 UTC 2025-07-11 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics

  • NVivo for a Literature Review

    29 - 30 July 2025

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review-906a8ae0-fcd1-4235-b940-dd76481d8e9c NVivo can be a powerful tool to help you conduct your literature review in an effective and efficient way. This workshop introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. By the end of the workshop attendees will: Have a basic understanding on how to use NVivo How to get the most out of their literature using NVivo The workshop is relevant to researchers at all stages and across all disciplines. No prior knowledge of NVivo is necessary in order to attend the class. It starts from the very basics of the software. 2025-07-29 09:30:00 UTC 2025-07-30 12:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all NVivoqualitative dataQualitative methodsData analysisliterature review

  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping

  • WEBINAR: Deciphering AI for the Life Sciences

    18 March 2025

    WEBINAR: Deciphering AI for the Life Sciences https://dresa.org.au/events/webinar-deciphering-ai-for-the-life-sciences Curious about how Artificial Intelligence (AI) is transforming life sciences? AI is reshaping life sciences by enabling researchers to analyse complex datasets, automate workflows, and gain deeper insights into biological processes. This introductory webinar will break down AI concepts, clarify key terminology, and showcase real-world examples of AI applications in the life sciences. **Learning outcomes** This webinar, will help you: - Define key AI-related terms - Understand the historical progression of AI and how it has evolved to impact life sciences - Recognise key AI applications in specific life science domains - Understand the benefits and limitations of AI - Navigate available learning resources to explore AI further **Speakers**: Dr Benjamin Goudey, AI Technical Lead, Australian BioCommons **Date/Time**: 18 March 2024, 12 - 1 pm AEDT/ 11am - 12 pm AEST / 11:30am - 12:30 pm ACDT / 9 - 10 am AWST [check in your timezone](https://www.timeanddate.com/worldclock/fixedtime.html?msg=Deciphering+AI+for+the+Life+Sciences&iso=20250318T12&p1=152&ah=1) **Who the webinar is for**: - Wet lab scientists with minimal computational background and eager to apply AI to their experimental workflows; - Bioinformaticians/computational scientists with some programming experience but new to AI, interested in integrating AI in their pipelines; - Research leads and decision-makers interested in the strategic impact of AI. **How to join**: This webinar is free to join but you must register for a place in advance. [Register here](https://unimelb.zoom.us/webinar/register/WN_fdkrX7C3Q1qn21W1MSFXDA) 2025-03-18 12:00:00 UTC 2025-03-18 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all BioinformaticsIntroductoryAILife Science

  • WORKSHOP SERIES: Submitting sequencing data and genome assemblies to the European Nucleotide Archive

    24 March - 4 April 2025

    WORKSHOP SERIES: Submitting sequencing data and genome assemblies to the European Nucleotide Archive https://dresa.org.au/events/workshop-series-submitting-sequencing-data-and-genome-assemblies-to-the-european-nucleotide-archive The European Nucleotide Archive (ENA) is the European node of the International Nucleotide Sequence Database Collaboration (INSDC), providing a comprehensive record of the world’s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. The three INSDC members (ENA, NCBI-SRA and DDBJ-SRA) routinely exchange data which ensures nucleotide data is archived and shared across geographically dispersed locations (Europe, USA and Japan). The ENA is provided by EMBL’s European Bioinformatics Institute, EMBL-EBI. ENA team members Dr Joana Pauperio and Maira Ihsan will deliver a series of related workshops on submitting raw read sequencing, Metagenome-Assembled Genome (MAG), environmental DNA (eDNA) and genome assembly and annotation data to ENA.* Each workshop will begin with an introduction to the ENA data and metadata model. You will then be guided through hands-on exercises using example data sets to practice data submission via one of three submission routes: Interactive web-based submission: these are completed by filling out web forms in your browser and downloading template spreadsheets that can be completed off-line and uploaded to ENA. Command-line based submission: Data submissions of this type are completed via the command line using ENA's bespoke Webin-CLI program. This validates your submissions entirely before you complete them, allowing you maximum control of the process. Webin-CLI is the only way to submit assembled genomes and transcriptomes. Programmatic submission: these are completed by preparing your submissions as XML/JSON documents and either sending them to ENA using a program such as cURL or using ENA's Webin Portal. *This series is designed with flexibility in mind. You can apply to attend one or more workshops \- choose the workshop(s) most relevant to you.* | Date/Time | Workshop title| Dataset | Submission route | | ----- | ----- | ----- | ----- | | 25 March 2025 1 \- 4 pm AEDT | Submitting raw read sequencing data using interactive web-based tools | Raw reads | Interactive web-based submission | | 26 March 2025 1 \- 4 pm AEDT | Submitting raw read sequencing data using programmatic tools | Raw reads | Programmatic submission | | 27 March 2025 1 \- 3 pm AEDT | Submitting raw-read sequencing data using command line based tools | Raw reads | Command-line submission | | 31 March 2025 1 \- 4 pm AEDT | Submitting genome assembly and annotation data using the command line | Genome assembly and annotation data | Command-line submission | | 1 April 2025 1 \- 4 pm AEDT | Submitting Metagenome-Assembled Genome (MAG) data to ENA and MGNify using the command line | Metagenome-Assembled Genome (MAG) | Command-line submission | | 2 April 2025 1 \- 4 pm AEDT | Submitting environmental DNA (eDNA) data | Environmental DNA (eDNA) | Multiple methods in development | **Learning outcomes:** By the end of each workshop you should be able to: * Identify the importance of data sharing * Outline the purpose of the ENA * Explain the ENA Metadata Model and the importance of metadata * Describe the data submission routes at the ENA * Identify the range of tools and services offered by the ENA for data submission * Submit the demonstrated data type using the ENA submission route shown in the workshop(s) you attend **Location:** Online via Zoom. **Date/Time:** 25 March to 3 April 2025\. All times are provided in AEDT (Melbourne). [Check the start time at your location](https://www.timeanddate.com/worldclock/fixedtime.html?ah=3&iso=20250325T13&msg=ENA%20workshop%20miniseries&p1=152). **Lead Trainers:** Maira Ihsan, User Support Bioinformatician, European Nucleotide Archive, EMBL-European Bioinformatics Institute Dr Joana Pauperio, Biodiversity Curator, European Nucleotide Archive, EMBL-European Bioinformatics Institute **Who these workshops are for:** This series of related workshops is for Australian-based life scientists and bioinformaticians who are working with nucleotide sequencing data and who would benefit from submitting their data to the INSDC. **Prerequisites:** You must be associated with an Australian organisation to participate in these workshops. Interactive submission routes: none Programmatic submission routes: some understanding of XML and JSON file formats is recommended Command line submission route: a basic understanding of how to interact with the command line is required **How to join:** [**Register here**](https://ena-data-submission.eventbrite.com.au/) Attendance at these workshops is fully subsidised, but registrations are essential. You can apply to attend one or more workshops \- choose the workshop(s) most relevant to you on the registration form. Details on how to join and essential preparation steps will be provided closer to the date of the workshops. *This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter.* 2025-03-24 09:00:00 UTC 2025-04-04 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all []

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    28 - 29 March 2025

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling-e8d89bd0-1e2e-44ba-b3bf-5f3094a2130f This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. Regression modelling is a foundation in data science and a must for anyone wanting to venture into this space. Understanding when and how to use linear and non-linear regression models in everyday research is an essential skill for any analyst. Linear and non-linear regression models are commonly used to quantify the relationship between two or more variables by predicting a key outcome of interest. These models are used as effective and powerful tools to control for the potential confounding effect of extraneous variables and/or developing highly predictive models. Linear regression relates to continuous outcomes and is a fundamental regression technique in data science. Logistic regression is used when the outcome of interest is categorical and a fundamental classification technique in data science. When there is no theoretical or mechanistic model to suggest a particular functional form to describe the relationship between two or more variables of interest, Generalized Additive Models (GAMs) can used as they fit a nonparametric curve to the data without requiring pre-defining any particular mathematical model to describe the nonlinearity. Gaining a sound understanding of all these models is essential to understand when it is appropriate to use these techniques. 2025-03-28 09:30:00 UTC 2025-03-29 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • WORKSHOP: Retrieving nucleotide sequencing data from the European Nucleotide Archive

    3 April 2025

    WORKSHOP: Retrieving nucleotide sequencing data from the European Nucleotide Archive https://dresa.org.au/events/workshop-retrieving-nucleotide-sequencing-data-from-the-european-nucleotide-archive The European Nucleotide Archive (ENA) is the European node of the International Nucleotide Sequence Database Collaboration (INSDC), providing a comprehensive record of the world’s nucleotide sequencing information, covering raw read sequencing data, sequence assembly information and functional annotation. The three INSDC members (ENA, NCBI-SRA and DDBJ-SRA) routinely exchange data which ensures nucleotide data is archived and shared across geographically dispersed locations (Europe, USA and Japan). The ENA is provided by EMBL’s European Bioinformatics Institute, EMBL-EBI. This workshop provides an introduction to the ENA data and metadata model and data retrieval tools, followed by an opportunity to practice retrieving a range of different data types from the ENA using a variety of tools and protocols. **Learning outcomes:** By the end of this workshop you should be able to: * Outline the ENA data and metadata standards * Identify the metadata fields associated with different data types submitted to the INSDC * Build queries based on the datasets you would like to retrieve * Describe of the range of tools offered by the ENA to download data files * Practice data retrieval using the ENA advanced search **Location:** Online via Zoom. **Date/Time:** Thursday 3 April 2025, 1 \- 3 pm AEDT / 12 \- 2 pm AEST / 12:30 \- 2:30 pm ACDT / 10 am \- 12 pm AWST. [Check the start time at your location](https://www.timeanddate.com/worldclock/fixedtime.html?ah=2&iso=20250403T13&msg=WORKSHOP%3A%20Retrieving%20nucleotide%20sequencing%20data%20from%20the%20European%20Nucleotide%20Archive&p1=152). **Lead Trainers:** * Dr Joana Pauperio, Biodiversity Curator, European Nucleotide Archive, EMBL-European Bioinformatics Institute * Maira Ihsan, User Support Bioinformatician, European Nucleotide Archive, EMBL-European Bioinformatics Institute **Who this workshop is for:** This workshop is for Australian life science researchers and bioinformaticians working with nucleotide sequencing data. It is suitable for researchers who are interested in accessing, downloading and using data retrieved from the ENA. **Prerequisites:** You must be associated with an Australian organisation to participate in this workshop. **How to join:** [**Register here**](https://ena-data-retrieval.eventbrite.com.au/) Attendance at this workshop is fully subsidised, but registrations are essential. Details on how to join and essential preparation steps will be provided closer to the date of the workshop. *This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter.* 2025-04-03 13:00:00 UTC 2025-04-03 15:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all []

  • Collecting, Managing and Analysing Qualitative Interview Data: Online

    7 - 8 April 2025

    Collecting, Managing and Analysing Qualitative Interview Data: Online https://dresa.org.au/events/collecting-managing-and-analysing-qualitative-interview-data-online This two-day online course will address the issues of preparing for, collecting, managing and analysing data from Face to Face and Focus Group interviews from a practical perspective. The emphasis is on practical experience and the gaining of practice-based skills with regard to conducting both face to face and focus group interviews in person and online and in gaining experience in analysing data. 2025-04-07 09:30:00 UTC 2025-04-08 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all qualitative interviewingQualitative methodsqualitative dataQualitative Researchqualitative

  • Discourse Analysis: Online

    28 - 29 April 2025

    Discourse Analysis: Online https://dresa.org.au/events/discourse-analysis-online Utilising existing data in qualitative research is extremely valuable either as a total data set in its own right or as a subset to enhance interview and observational data sets. Michael Foucault initiated the basic approach to dealing with existing spoken, written or visual data such as policy documents, case notes, photos, articles etc. and this was later further developed by Norman Fairclough into Critical Discourse analysis. This two-day online course will demonstrate with practical examples, the two major approaches to analysing dicourses: Foucauldian and Critical Discourse Analysis. 2025-04-28 09:30:00 UTC 2025-04-29 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all Qualitative ResearchQualitative methodsqualitativediscourse analysisqualitative data

  • Introduction to Python for Social Sciences: Online

    2 - 3 May 2025

    Introduction to Python for Social Sciences: Online https://dresa.org.au/events/introduction-to-python-for-social-sciences-online One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. You will be introduced to Anaconda, setting up a Python environment and using Jupyter Notebook to run the workshop examples. This masterclass offers a step-by-step, interactive introduction to Python for participants with no experience with this software package. This masterclass, part of the ACSPRI suite of courses in social data science, is specially designed for those who want to learn how to use Python for data manipulation and statistical analysis. 2025-05-02 09:30:00 UTC 2025-05-03 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all pythonStatistical Methodsapplicationapplied statisticsCoding

  • Harnessing MAXQDA for Qualitative Analysis: Online

    17 - 18 June 2025

    Harnessing MAXQDA for Qualitative Analysis: Online https://dresa.org.au/events/harnessing-maxqda-for-qualitative-analysis-online This master-class provides a comprehensive introduction to the use of MAXQDA for qualitative analysis, focusing on harnessing its tools appropriately within methodological contexts. Combining discussion, demonstration and guided instruction participants gain hands-on experience of using tools for analytic tasks. 2025-06-17 15:00:00 UTC 2025-06-18 18:15:00 UTC ACSPRI Online via Zoom, Melbourne, Australia Online via Zoom Melbourne Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all MaxQDAQualitative ResearchData analysisQualitative methodsTools

  • Foundations of Qualitative Methodologies, Data Collection and Analysis: Online

    30 June - 2 July 2025

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online-47cd28ea-1b7a-4675-bd21-5c4d9721af8c This is an introductory course which deals with the major decisions qualitative researchers needs to make initially: -research design and ethics -qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. The target audience for this course is those who would like to become more familiar with qualitative research decisions and techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2025-06-30 09:30:00 UTC 2025-07-02 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative interviewingEthicsHREC; Research ethicsData Analysis

  • Data Analysis Using Stata: Online

    30 June - 4 July 2025

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online-c4f3212e-bf77-4458-a7d2-b265ffd5bf0e Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2025-06-30 10:00:00 UTC 2025-07-04 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online

    7 - 11 July 2025

    Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-online-d8e1bd96-2adf-49f6-a4aa-16b853677804 In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2025-07-07 09:30:00 UTC 2025-07-11 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo

  • Multi-level Analysis using Mplus: Online

    7 - 11 July 2025

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online-5bc9823f-3205-4e0a-81ac-8bcdce6a1012 This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2025-07-07 10:00:00 UTC 2025-07-11 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics

  • NVivo for a Literature Review

    29 - 30 July 2025

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review-906a8ae0-fcd1-4235-b940-dd76481d8e9c NVivo can be a powerful tool to help you conduct your literature review in an effective and efficient way. This workshop introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. By the end of the workshop attendees will: Have a basic understanding on how to use NVivo How to get the most out of their literature using NVivo The workshop is relevant to researchers at all stages and across all disciplines. No prior knowledge of NVivo is necessary in order to attend the class. It starts from the very basics of the software. 2025-07-29 09:30:00 UTC 2025-07-30 12:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all NVivoqualitative dataQualitative methodsData analysisliterature review

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