Updates

_glossarySearch/common_terms.txt

@@ -20,6 +20,7 @@
 {{< glossary_link display="fieldwork" id="fieldwork" >}}
 {{< glossary_link display="format" id="format" >}}
 {{< glossary_link display="GitHub" id="github" >}}
+{{< glossary_link display="GLAM" id="glam" >}}
 {{< glossary_link display="HASS" id="hass" >}}
 {{< glossary_link display="intellectual property" id="intellectual-property" >}}
 {{< glossary_link display="LDaCA" id="ldaca" >}}

_glossarySearch/search_results.txt

@@ -1,36 +1,11 @@
-ro-crate: 39
-data packaging: 3
-collections: 5
 profile: 1
-ldaca: 15
-standard: 6
-arkisto: 1
-github: 2
-paradisec: 1
-collection: 18
-data steward: 2
-object: 1
-metadata: 27
-data license: 1
-access conditions: 3
-json: 6
-format: 7
-crate-o: 11
-data stewards: 2
-method: 2
-zenodo: 2
-elan: 1
-licensing: 6
-schema: 7
-data commons: 1
-ldac: 3
-data collections: 1
-copyright: 1
-care: 1
-tools: 2
-standards: 2
-fair: 2
-ardc: 1
+ldaca: 1
+tools: 1
+methods: 1
+ardc: 3
+hass: 2
+data commons: 3
+glam: 1
 
 Tooltip guidelines:
 - Check the context of these matches; they may not be applicable!

content/news/events/index.md

@@ -43,30 +43,28 @@ We will conclude with lessons learnt in the project and our further work on the
 
 **Summary**:
 
-Research data is valuable - we spend time (and often money) in collecting it, and it is fundamental to creating knowledge. Because of this value, we have a responsibility to ensure that data will continue to be useful, minimally to ourselves but ideally also to others. This workshop will introduce participants to basic ideas of data management which are oriented to making data sustainable in line with two important sets of principles, FAIR and CARE.
-The aims of the workshop are:
-* To increase awareness of the importance of sustainable data
-* To introduce basic principles for managing data sustainably
-* To demonstrate simple methods which implement those principles
-* To give participants hands-on experience with tools for data management
+Research data is valuable — we spend time (and often money) in collecting it, and it is fundamental to creating knowledge. Because of this value, we have a responsibility to ensure that data will continue to be useful, minimally to ourselves, but ideally, also to others. This workshop will introduce participants to basic ideas of data management, which are oriented to making data sustainable in line with two important sets of principles, FAIR and CARE.
 
-**When**: 26 August 2025, 9am-4pm AEST
+The aims of the workshop are to:
+* increase awareness of the importance of sustainable data
+* introduce basic principles for managing data sustainably
+* demonstrate simple methods which implement those principles
+* give participants hands-on experience with tools for data management.
 
-**Where**: University of Melbourne
+**When**: 26 August 2025, 9am–4pm AEST
+
+**Where**: The University of Melbourne
 
 **Registration**: Coming soon
 
-**Organisers**
+**Organisers**:
  <a href="https://www.unimelb.edu.au/mdap" target="_blank">Melbourne Data Analytics Platform</a></p>
 
-**Presenters**
+**Presenters**:
 {{< profile id="musgrave" >}} and {{< profile id="riv-smith" >}}
 
-
-
 <br>
 
-
 ## Recurring Events {#recurring-events}
 
 ### RO-Crate Clinic Drop-in
@@ -83,8 +81,6 @@ The RO-Crate community run a weekly drop-in call in Australia. For further infor
 
 {{<raw>}}
 
-
-
 <details>
 <summary><b><font color="#79A38D">2025</font></b></summary>
 

content/news/posts/team-member-tip-chenoa-pettrup/index.md

@@ -9,36 +9,45 @@ by {{< profile id="pettrup" >}}
 
 <br>
 
->*As part of a regular feature in our quarterly newsletter, we asked LDaCA's Industry Engagement and Communications lead, Chenoa Pettrup, for a tip to pass on to readers. Read on to find out her tip for turning your data into useful visuals.*
+>*As part of a regular feature in our quarterly newsletter, we asked {{< glossary_link display="LDaCA's" id="ldaca" >}} Industry Engagement and Communications lead, Chenoa Pettrup, for a tip to pass on to readers. Read on to find out her tip for turning your data into useful visuals.*
 
 <br>
 
-If you're new to data visualisation, don’t feel like you have to rush straight into coding. Take time to plan an approach with these simple practices:
+If you're new to data visualisation, don't feel like you have to rush straight into coding. Take time to plan an approach with these simple practices:
 
-### If in doubt, sketch it out.
-Before diving into tools, sketch a few layout options—on paper or using digital platforms like [Figma](https://www.figma.com/). Rough visuals help clarify your thinking and reveal possibilities early. This step is helpful because it allows you to explore different configurations and ways of displaying information before you start coding. It can also help provide a skeleton to work towards once you do start putting your code together. Sketching gives you a clearer sense of direction and enables you to figure out the most effective way to communicate your information.
+<br>
+
+## If in doubt, sketch it out
+
+Before diving into tools, sketch a few layout option — on paper or using digital platforms like [Figma](https://www.figma.com/). Rough visuals help clarify your thinking and reveal possibilities early. This step is helpful because it allows you to explore different configurations and ways of displaying information before you start coding. It can also help provide a skeleton to work towards once you do start putting your code together. Sketching gives you a clearer sense of direction and enables you to figure out the most effective way to communicate your information.
+
+<br>
 
-{{< image Src="/team-member-tip-chenoa-pettrup/Information-is-beautiful.png" Height="450" Alt="Screenshot of the Information is Beautiful Website" Desc="Screenshot of the Information is Beautiful Website" Title="Screenshot of the Information is Beautiful Website" Ref="Information is Beautiful Website" >}}
+{{< image Src="/team-member-tip-chenoa-pettrup/Information-is-beautiful.png" Height="450" Alt="Screenshot of the Information is Beautiful Website." Desc="Screenshot of the Information is Beautiful Website." Title="Screenshot of the Information is Beautiful Website." Ref="Information is Beautiful Website" >}}
+
+## From tired to inspired
+
+Go beyond the defaults of pie charts and bar graphs. Explore how others turn data into meaningful visuals. Sites like [Information is Beautiful](https://www.informationisbeautifulawards.com/showcase?award=2024&type=awards) and [FlowingData](https://flowingdata.com/learning/) are excellent resources for discovering innovative visualisation {{< glossary_link display="methods" id="methods" >}}. [The Visual Display of Quantitative Data by Edward Tufte](https://trove.nla.gov.au/work/16868817?keyword=The%20Visual%20Display%20of%20Quantitative%20Information) is another great resource for this. Reviewing how others have approached their data can offer fresh perspectives and can spark your creativity. Engaging with such examples can set the stage for powerful storytelling through data.
+
+<br>
 
-### From tired to inspired.
-Go beyond the defaults of pie charts and bar graphs. Explore how others turn data into meaningful visuals. Sites like [Information is Beautiful](https://www.informationisbeautifulawards.com/showcase?award=2024&type=awards) and [FlowingData](https://flowingdata.com/learning/) are excellent resources for discovering innovative visualisation methods. [The Visual Display of Quantitative Data by Edward Tufte](https://trove.nla.gov.au/work/16868817?keyword=The%20Visual%20Display%20of%20Quantitative%20Information) is another great resource for this. Reviewing how others have approached their data can offer fresh perspectives and can spark your creativity. Engaging with such examples can set the stage for powerful storytelling through data.
+{{< image Src="/team-member-tip-chenoa-pettrup/Storytelling with Data.png" Height="450"  Alt="Book storytelling with data by Cole Nussbaumer Knaflic" Desc="Book storytelling with data by Cole Nussbaumer Knaflic." Title="Book storytelling with data by Cole Nussbaumer Knaflic" Ref="storytelling with data Website">}}
 
-{{< image Src="/team-member-tip-chenoa-pettrup/Storytelling with Data.png" Height="450"  Alt="Storytelling with Data by Cole Nussbaumer Knaflic" Desc="Storytelling with Data by Cole Nussbaumer Knaflic" Title="Storytelling with Data by Cole Nussbaumer Knaflic"Ref="Storytelling with data book cover">}}
+## No guts, no story
 
-### No guts, no story.
-Effective data visualisation is not just about showcasing numbers—it's about telling a story that makes sense for your subject matter and your audience. Consider how your data can weave a narrative that engages viewers.  Visual metaphors, annotation, color and images can help with highlighting information. Telling a good story starts with knowing the information that you want to convey and what is at the centre of your data. Combining the data with narrative can help convey complex information in a way that is relatable.
+Effective data visualisation is not just about showcasing numbers — it's about telling a story that makes sense for your subject matter and your audience. Consider how your data can weave a narrative that engages viewers.  Visual metaphors, annotation, color and images can help with highlighting information. Telling a good story starts with knowing the information that you want to convey and what is at the centre of your data. Combining the data with narrative can help convey complex information in a way that is relatable.
 
 [Storytelling with data](https://trove.nla.gov.au/work/200778188?keyword=Story%20telling%20with%20data%20cole) by Cole Nussbaumer Knaflic  is a great starting point for learning more about how to do effective storytelling with data. 
 
 <br>
 
-{{< image Src="/team-member-tip-chenoa-pettrup/Chenoa-photo.png" Alt="A  photograph of a group of people talking" Desc="Chenoa, left, at ARDC's HASS and Indigenous Research Data Commons Summer School in February 2025." Title="Chenoa, left, at ARDC's HASS and Indigenous Research Data Commons Summer School in February 2025."  Ref="Photo by Marc Grimwade, courtesy of ARDC" >}}
+{{< image Src="/team-member-tip-chenoa-pettrup/Chenoa-photo.png" Alt="A  photograph of a group of people talking" Desc="Chenoa (left) at the ARDC's HASS and Indigenous Research Data Commons Summer School in February 2025." Title="Chenoa (left) at the ARDC's HASS and Indigenous Research Data Commons Summer School in February 2025."  Ref="Marc Grimwade, courtesy of the ARDC" >}}
 
 <br>
 
 ### Chenoa Pettrup
 Chenoa Pettrup is the Industry Engagement and Communications Lead for the Language Data Commons of Australia. 
 
-She has 10 years’ experience working within the GLAM sector and has applied knowledge of engagement, digital initiatives, and design.  She has a passion for making complex ideas accessible and collaborating with a wide range of stakeholders to deliver impactful projects.
+She has 10 years' experience working within the {{< glossary_link display="GLAM" id="glam" >}} sector and has applied knowledge of engagement, digital initiatives and design.  She has a passion for making complex ideas accessible and collaborating with a wide range of stakeholders to deliver impactful projects.
 
 <br>

content/resources/general-resources/case-studies/masters-research-project/index.md

@@ -113,7 +113,7 @@ Once I had cleaned and organised the data for all three datasets, I uploaded the
 
 <br>
 
-{{< image Src="/masters-research-project/figure4-and-stuff-search.png" Alt="A screenshot of the results of a concordance search for *and stuff* in the Sydney Speaks dataset. The screenshot shows multiple lines of text with the words *and stuff* centred in every line and formatted red and bold." Desc="Figure 4: Concordance search for *and stuff* in the Sydney Speaks dataset" Title="Concordance search for *and stuff* in the Sydney Speaks dataset" Ref="Teresa Chan" Height="500" >}}
+{{< image Src="/masters-research-project/figure4-and-stuff-search.png" Alt="A screenshot of the results of a concordance search for 'and stuff' in the Sydney Speaks dataset. The screenshot shows multiple lines of text with the words 'and stuff' centred in every line and formatted red and bold." Desc="Figure 4: Concordance search for 'and stuff' in the Sydney Speaks dataset" Title="Concordance search for 'and stuff' in the Sydney Speaks dataset" Ref="Teresa Chan" Height="500" >}}
 
 <br>
 
@@ -213,3 +213,5 @@ Travis, C. E., Grama, J. & Gonzalez, S. (2017). _General extenders over time in
 <a name="fn-7">7</a> The _(and) stuff (like that)_ variant was used significantly more frequently by speakers in the AusTalk (t(15) = 3.17, p = .006) and Sydney Speaks (t(78) = 6.21, p < .001) datasets compared to X users. [↩](#back-7)
 
 <a name="fn-8">8</a> Speakers in the datasets were assigned one of three age brackets: Young (19-29 year-olds), Middle (30-59 year-olds) and Old (60-79 year-olds). The mean frequencies for the Young (t(36) = 4.07, p < .001) and Middle (t(48) = 2.42, p = .02) age brackets in AusTalk were significantly higher than the Old age bracket. [↩](#back-8)
+
+<br>