My program of rolling out new features and integrations across the GLAM Workbench continues. The latest section to be updated is the Web Archives section!

There are no new notebooks with this update, but some important changes under the hood. If you haven’t used it before, the Web Archives section contains 16 notebooks providing documentation, tools, apps, and examples to help you make use of web archives in your research. The notebooks are grouped by the following topics: Types of data, Harvesting data and creating datasets, and Exploring change over time.

I’ve updated all the Python packages used in this repository and changed the app-ified notebooks to run using Voila (which is better integrated with Jupyter Lab than Appmode). But most importantly, you can now install the repository into your own persistent environment using Reclaim Cloud or Docker.

As Christie Moffatt noted recently harvesting data from web archives can take a long time, and you might hit the limits of the free Binder service. These new integrations mean you don’t have to worry about your notebooks timing out. Just click on the Launch on Reclaim Cloud button and you can have your own fully-provisioned, persistent environment up and running in minutes!

This is possible because every change to the Web Archives repository now triggers the build of a new Docker image with all the software that you need pre-installed. You can also run this Docker image on your own computer, or using another cloud service.

The Web Archives section now includes documentation on running the notebooks using Binder, Reclaim, Cloud or Docker. #dhhacks

There’s no doubt that Trove’s digitised newspapers have had a significant impact on the practice of history in Australia. But analysing that impact is difficult when Trove itself is always changing – more newspapers and articles are being added all the time.

In an attempt to chart the development of Trove, I’ve created a dataset that shows (approximately) when particular newspaper titles were first added. This gives a rough snapshot of what Trove contained at any point in the last 12 years.

I say approximately because the only public source of this information are web archives like the Internet Archive’s Wayback Machine and Trove itself. By downloading captures of Trove’s browse page, I was able to extract a list of newspaper titles available when that capture was made. Depending on the frequency of captures, the titles may have been first made available some time earlier.

The method I used to create the dataset is documented in the Trove Newspapers section of the GLAM Workbench. I used the Internet Archive as my source rather than Trove just because there were more captures available. Most of the code I could conveniently copy from the Web Archives section of the GLAM Workbench, in particular the Find all the archived versions of a particular web page notebook.

The result was actually two datasets:

• trove_newspaper_titles_2009_2021.csv – complete dataset of captures and titles
• trove_newspaper_titles_first_appearance_2009_2021.csv – filtered dataset, showing only the first appearance of each title / place / date range combination

There’s also an alphabetical list of newspaper titles for easy browsing. The list shows the date of the capture in which the title was first recorded, as well as any changes to its date range. #dhhacks

To make it easier for people to suggest additions, I’ve created a GitHub repository for my list of GLAM Jupyter examples and resources. Contributions are welcome!

This list is automatically pulled into the GLAM Workbench’s help documentation. #dhhacks

I recently made some changes in the GLAM Workbench’s Help documentation, adding a new Running notebooks section. This section provides detailed information of running and managing GLAM Workbench repositories using Reclaim Cloud and Docker.

I’m still rolling out this functionality across all the repositories, but it’s going to take a while. When I’m finished you’ll be able to create your own persistent environment on Reclaim Cloud from any repository with just the click of a button. See the Trove Newspapers section to try this out now! #dhhacks

As I foreshadowed some weeks ago, I’ve shut down my Patreon page. Thanks to everyone who has supported me there over the last few years!

I’ve now shifted across to GitHub Sponsors, which is focused on supporting open source projects. This seems like a much better fit for the things that I do, which are all free and open by default.

So if you think things like the GLAM Workbench, Historic Hansard, OzGLAM Help, and The Real Face of White Australia are worth supporting, you can sign up using my GitHub Sponsors page. Sponsorship tiers start at just $1 a month. Financially, your contributions help pay some of my cloud hosting bills and keep everything online. But just as important is the encouragement and motivation I get from knowing that there are people out there who think this work is important and useful.

To recognise my GitHub sponsors, I’ve also created a new Supporters page in the GLAM Workbench.

Thanks!

I’ve updated, refreshed, and reorganised the Trove newspapers section of the GLAM Workbench. There’s currently 22 Jupyter notebooks organised under the following headings:

• Trove newspapers in context – Notebooks in this section look at the Trove newspaper corpus as a whole, to try and understand what’s there, and what’s not.
• Visualising searches – Notebooks in this section demonstrate some ways of visualising searches in Trove newspapers – seeing everything rather than just a list of search results.
• Useful tools – Notebooks in this section provide useful tools that extend or enhance the Trove web interface and API.
• Tips and tricks – Notebooks in this section provide some useful hints to use with the Trove API.
• Get creative – Notebooks in this section look at ways you can use data from Trove newspapers in creative ways.

There’s also a number of pre-harvested datasets.

Recently refreshed analyses, visualisations, and datasets include:

• Number of Trove newspaper articles by year and state (notebook)
• Analysing OCR correction in Trove’s newspapers (notebook)
• List of Trove newspapers in languages other than English (markdown formatted list)
• Newspapers with content from beyond the 1954 copyright ‘cliff of death’ (CSV file)

As part of the update, notebooks that are intended to run as apps (with all the code hidden) have been updated to use Voila. But perhaps the thing I’m most excited about are the new options for running the notebooks. As well as being able to launch the notebooks on Binder, you can now create your very own, persistent environment on Reclaim Cloud with just a click of a button.

There’s also an automatically-built Docker image of this repository, containing everything you need to run the notebooks on your own computer. Check out the new Run these notebooks section for details. I’m gradually rolling this out across all the repositories in the GLAM Workbench. #dhhacks

It was way back in 2009 that I created my first scraper for getting machine-readable data out of the National Archives of Australia’s online database, RecordSearch. Since then I’ve used versions of this scraper in a number of different projects such as The Real Face of White Australia, Closed Access, and Redacted (including the recent update). The scraper is also embedded in many of the notebooks that I’ve created for the RecordSearch section of the GLAM Workbench.

However, the scraper was showing its age. The main problem was that one of its dependencies, Robobrowser, is no longer maintained. This made it difficult to update. I’d put off a major rewrite, thinking that RecordSearch itself might be getting a much-needed overhaul, but I could wait no longer. Introducing the brand new RecordSearch Data Scraper.

Just like the old version, the new scraper delivers machine-readable data relating to Items, Series and Agencies – both from individual records, and search results. It also adds a little extra to the basic metadata, for example, if an Item is digitised, the data includes the number of pages in the file. Series records can include the number of digitised files, and the breakdown of files by access category.

The new scraper adds in some additional search parameters for Series and Agencies. It also makes use of a simple caching system to improve speed and efficiency. RecordSearch makes use of an odd assortment of sessions, redirects, and hidden forms, which make scraping a challenge. Hopefully I’ve nailed down the idiosyncrasies, but I expect to catching bugs for a while.

I created the new scraper in Jupyter using NBDev. NBDev helps you to keep your code, examples, tests, and documentation all together in Jupyter notebooks. When you’re ready, it converts the code from the notebooks into distributable Python libraries, runs all your tests, and builds a documentation site. It’s very cool.

Having updated the scraper, I now need to update the notebooks in the GLAM Workbench – more on that soon. The maintenance never ends! #dhhacks

Here’s the video of my presentation, ‘Secrets and lies’, for the (Re)create symposium at the University of Canberra, 21 April 2021. It’s mainly about finding and resting redactions in ASIO surveillance files held by the National Archives of Australia.

Secrets and lives from Tim Sherratt on Vimeo.

Here are links to the various sites and resources mentioned in the video:

• For more on records relating to the White Australia policy see The Real Face of White Australia
• Some summary information on ASIO records in the National Archives of Australia
• Jenny Holzer’s Mass MoCA exhibition, including redaction paintings
• CIA Realizes It’s Been Using Black Highlighters All These Years, The Onion, 2005
• Fun with the Petrovs, a Trove list that brings together photos from ASIO files in the NAA
• FOIA Facelift, MuckRock, 2020
• Redaction Hall of Shame, MuckRock, 2016
• Withheld Pending Advice, Inside Story, 2017, looks at ‘closed’ files in the NAA; the 2020 update is in this Twitter thread
• redacted, 2017 – browse my original collection of redactions
• The original #redactionart story, 2016-2017 – part 1 and part 2
• The Redaction Zoo, 2017
• DIY #redactionart , 2017 – repository of images
• Edward Shaddow’s #redactionart cookie cutters
• Wearing access, 2018, talk by Bonnie Wildie describing the creation of her #redactionart dress
• #redactionart jigsaw
• Some new #redactionart critters, 2021
• #redactionart hardcover journal, 2021, Redbubble
• #redactionart quilt cover, 2021, Redbubble
• #redactionart scarf, 2021, Redbubble
• DIY #redactionart collage – make your own collages of recycled ASIO redactions (includes at least one redaction art critter)

I haven’t yet written up the details of training my latest redaction finder. When I do, I’ll post it here! #dhhacks

I’m interested in understanding what gets digitised and when by our cultural institutions, but accessible data is scarce. The National Archives of Australia lists ‘newly scanned’ records in RecordSearch, so I thought I’d see if I could convert that list into a machine-readable form for analysis. I’ve had a lot of experience trying to get data out of RecordSearch, but even so it took me a while to figure out how the ‘newly scanned’ page worked. Eventually I was able to extract all the file metadata from the list and save it to a CSV file. The details are in this notebook in the GLAM Workbench.

I used the code to create a dataset of all the files digitised in the past month. The ‘newly scanned’ list only displays a month’s worth of additions, so that’s as much as I could get in one hit. In the past month, 24,039 files were digitised. 22,500 of these (about 93%) come from just four series of military records. This is no surprise, as the NAA is currently undertaking a major project to digitise WW2 service records. What is perhaps more interesting is the long tail of series from which a small number of files were digitised. 357 of the 375 series represented in the dataset (about 95%) appear 20 or fewer times. 210 series have had only one file digitised in the last month. I’m assuming that this diversity represents research interests, refracted through the digitisation on demand service. But this really needs more data, and more analysis.

As I mentioned, only one month’s data is available from RecordSearch at any time. To try and capture a longer record of the digitisation process, I’ve set up an automated ‘git scraper’ that runs every Sunday and captures metadata of all the files digitised in the preceding week. The weekly datasets are saved as CSV files in a public GitHub repository. Over time, this should become a useful dataset for exploring long-term patterns in digitisation. #dhhacks

Over the last few years, I’ve been very grateful for the support of my Patreon subscribers. Financially, their contributions have helped me cover a substantial proportion of the cloud hosting costs associated with projects like Historic Hansard and The Real Face of White Australia. But, more importantly, just knowing that they thought my work was of value has helped keep me going, and inspired me to develop a range of new resources.

However, while I’ve been grateful for the platform provided by Patreon, I’ve increasingly felt that it’s not a good fit for the sort of work I do. Patreon is geared towards providing special content to supporters, but, as you know, all my work is open. And that’s really important to me.

Recently GitHub opened up its own sponsorship program for the development of open source software. This program seems to align more closely with what I do. I already share and manage my code through GitHub, so integrating sponsorship seems to make a lot of sense. It’s worth noting too, that, unlike Patreon, GitHub charges no fees and takes no cut of your contributions. As a result I’ve decided to close my Patreon account by the end of April, and create a GitHub sponsors page.

What does this mean for you?

If you’re a Patreon subscriber and you’d like to keep supporting me, you should cancel your Patreon contribution, then head over to my brand new GitHub sponsors page and sign up! Thanks for your continued support!

If you’d prefer to let your contributions lapse, just do nothing. Your payments will stop when I close the account at the end of April. I understand that circumstances change – thank you so much for your support over the years, and I hope you will continue to make use of the things I create.

If you make use of any of my tools or resources and would like to support their continued development, please think about becoming a sponsor. For a sample of the sorts of things I’ve been working on lately, see my updates feed.

The future!

I’m very excited about the possibilities ahead. The GLAM Workbench has received a lot of attention around the world (including a Research Award from the British Library Labs), and I’m planning some major developments over coming months. And, of course, I won’t forget all my other resources – I spent a lot of time in 2020 migrating databases and platforms to keep everything chugging along.

On my GitHub sponsors page, I’ve set an initial target of 50 sponsors. That might be ambitious, but as I said above, it’s not just about money. Being able to point to a group of people who use and value this work will help me argue for new ways of enabling digital research in the humanities. So please help me spread the word – let’s make things together!

You might have noticed some changes to the GLAM Workbench home page recently. One of the difficulties has always been trying to explain what the GLAM Workbench actually is, so I thought it might be useful to put more examples up front. The home page now lists about 25 notebooks under the headings:

• Finding GLAM data
• Asking different questions
• Hacking heritage
• Bringing documentation alive

Hopefully they give a decent representation of the sorts of things you can do using the GLAM Workbench. I’ve also included a little rotating slideshow built using Slides.com.

Other recent additions include a new Grants and Awards page. #dhhacks

I’ve been doing a bit of work behind the scenes lately to prepare for a major update to the GLAM Workbench. My plan is to provide one click installation of any of the GLAM Workbench repositories on the Reclaim Cloud platform. This will provide a useful step up from Binder for any researcher who wants to do large-scale or sustained work using the GLAM Workbench. Reclaim Cloud is a paid service, but they do a great job supporting digital scholarship in the humanities, and it’s fairly easy to minimise your costs by shutting down environments when they’re not in use.

I’ve still got a lot of work to do to roll this out across the GLAM Workbench’s 40 repositories, but if you’d like a preview head to the Trove Newspaper and Gazette Harvester repository on GitHub. Get yourself a Reclaim Cloud account and click on the Launch on Reclaim Cloud button. It’s that easy!

There’s some technical notes in the Reclaim Hosting forum, and a post by Reclaim Hosting guru Jim Groom describing his own experience spinning up the GLAM Workbench.

Watch this space for more news! #dhhacks

I’ve given a couple of talks lately on the GLAM Workbench and some of my other work relating to the construction of online access to GLAM collections. Videos and slides are available for both:

• From collections as data to collections as infrastructure: Building the GLAM Workbench, seminar for the Centre for Creative and Cultural Research, University of Canberra, 22 February 2021 – video (40 minutes) and slides

• Building the GLAM Workbench (and various other projects such as The Real Face of White Australia, Closed Access, and redacted), guest lecture for the Cultural Data Sculpting course, EPFL, Switzerland, 18 March 2021 – video (1hr 40mins) and slides

I’ve also updated the presentations page in the GLAM Workbench. #dhhacks

It was Open Data Day on Saturday 6 March – here’s some of the ready-to-go datasets you can find in the GLAM Workbench – there’s something for historians, humanities researchers, teachers & more!

• First here’s a list of Australian GLAM (that’s galleries, libraries, archives & museums) data sources. It includes APIs, portals, and downloadable datasets. Suggested additions welcome!

• There’s also a list of Australian GLAM datasets that are available through government open data portals. There’s hundreds of them, but they’re not always easy to find. Convicts, immigration, hospitals, WWI – includes lots of useful biographical data.

• If you’re not sure where to start with a list of 600 CSV files, have a look at the GLAM CSV Explorer! Select a file and this Jupyter-powered app will build a series of visualisations based on the contents of each column.

• While they’re not yet in an open data portal, NSW State Archives has a rich collection of indexes transcribed by volunteers. I’ve scraped 64 indexes, with over 1.4 million rows of data and put them in a repository for easy download. There’s even a version of the CSV Explorer, just for the NSW State Archives indexes.

• Here’s a CSV file containing details of every issue of the Australian Women’s Weekly in Trove.

• A collection of front covers from the Australian Women’s Weekly from 1933 to 1982! That’s 2,566 images you can download from Cloudstor or browse in a series of convenient PDFs.

• Here’s a list of non-English language newspapers in Trove.

• And another list of newspapers in Trove with articles available from beyond the 1954 copyright cliff of death.

• While we’re on newspapers, here’s a spreadsheet that identifies places of publication or circulation of Trove newspapers, and provides geocordinates

• What about some text? Here’s 24,620 files of OCRd text from digitised books and ephemera in Trove. There’s also a CSV-formatted list with the basic details of each book.

• More text! Here’s OCRd text from 26,234 issues of 397 digitised journals in Trove.

• Something different – a collection of 12,619 press releases & speeches by Australian politicians that include any of the terms ‘immigrant’, ‘asylum seeker’, ‘boat people’, ‘illegal arrivals’, or ‘boat arrivals’. From the Parliamentary Library via Trove.

• Some more images – a collection of 3,471 full-page editorial cartoons from The Bulletin, 1886 to 1952 (with a warning for racist content). Available both as individual images and compiled into PDFs.

• From the ABC via Trove, there’s 400,000 records from Radio National programs broadcast since the late 1990s. That includes every segment broadcast on AM, PM, RN Breakfast etc.

• This might be handy – from some work I’m doing with ANU Archives, here’s a CSV file containing details of holidays in NSW from 1901 to 1950.

• The Department of Prime Minister and Cabinet provides XML versions of more than 20,000 speeches & interviews from recent PMs for download. I’ve saved them to a repository and compiled some indexes.

• And finally – Commonwealth Hansard from the Parliamentary Library – lots of well-structured XML files! I’ve created a repo with one file for each sitting day from 1901 to 1980 & 1998 to 2005 (hopefully the gap will be filled soon). There’s also a CSV index to sitting days.

And if that’s not enough data, the GLAM Workbench provides tools to help you create your own datasets from Trove, the National Archives of Australia, the National Museum of Australia, Archives NZ, DigitalNZ, & more! #dhhacks

The recent change of labels from ‘Barcode’ to ‘ItemID’ in the National Archives of Australia’s RecordSearch database broke the Zotero translator. I’ve now updated the translator, and the new version has been merged into the Zotero translators repository. It should be updated when you restart Zotero, but if not you can go to Preferences > Advanced > Files and folders and click on the Reset translators button.

The translator lets you:

• Capture metadata from single items, series, or photos
• Capture multiple items, series, or photos from search results
• Save photos from PhotoSearch
• Save digitised files as PDFs
• Save page images from the digitised file viewer

For more information or to ask questions, go to OzGLAM Help. #dhhacks

@TroveNewsBot has been sharing Trove newspaper articles on Twitter for over 7 years. With its latest upgrade the bot now has an ‘on this day’ function. Every day at AEST9.00am, TroveNewsBot will share an article published on that day in the past.

Even better, you can make your own ‘on this day’ queries by tweeting to @TroveNewsBot with the hashtag #onthisday. For example:

• Tweeting ‘#onthisday #luckydip’ – will return a random article published on this day in the past.
• Tweeting ‘cat #onthisday #luckydip’ – will return a random article about cats published on this day in the past.
• Tweeting ‘1920 #year #onthisday’ – will return an article published on this day in 1920.

See @TroveNewsBot’s help page for a full list of parameters. #dhhacks

The NAA recently changed field labels in RecordSearch, so that ‘Barcode’ is now ‘Item ID’. This required an update to my recordsearch_tools screen scraper. I also had to make a few changes in the RecordSearch section of the GLAM Workbench. #dhhacks

After some recent investigations of the availability of open access versions of articles published in paywalled Australian history journals, I’ve started a Google doc to capture useful links and information for Australian historians wanting to make their research open access. Comments and additions are welcome. #dhhacks

In 2014 I pulled together a sample of web pages that included links back to digitised newspaper articles in Trove and created the ‘Trove Traces’ app. It was interesting, and sometimes disturbing, to see the diversity of sites that made use of Trove. Amongst the family and local history enthusiasts were climate change deniers and racists who found ‘evidence’ for their views in past newspapers. And of course, the sample only includes links in web pages, not social media sharing.

The app has since disappeared, but I’ve now published a static version. The search and sort functions won’t work, but you can browse through the sample of backlinks by web page or by linked Trove newspaper article. There are also lists of the most frequently occurring pages and articles. #dhhacks

I’ve added an API Query Builder to the DigitalNZ section of the GLAM Workbench. You can use it to learn about the different parameters available from the search API, and experiment with different queries. Just get your API key from DigitalNZ, then try entering keywords and selecting options. Once you understand how the API works, you can start thinking about how you can make use of it in your own projects.

👉🏻 Try it out live on Binder!

Under the hood the API Query Builder is a Jupyter notebook (of course), but it uses ipyvuetify to create good-looking, responsive, form widgets. It’s intended to be run using Voilà, which turns notebooks into interactive apps and dashboards. You can now run any Jupyter notebook using Voilà on Binder, just by changing the url.

If this app seems useful (let me know!) I might put a version on Heroku so the start up time is reduced. I’m also thinking of using this sort of pattern to create apps for other APIs in the GLAM Workbench. #dhhacks

Lately I’ve been updating and expanding the notebooks in the DigitalNZ section of the GLAM Workbench. In particular, I’ve been looking at the usage facet to understand how much of the aggregated content is ‘open’. What do I mean by ‘open’? The Open Knowledge Foundation definition states that ‘open data and content can be freely used, modified, and shared by anyone for any purpose’. Obviously things that are in the public domain, such as out-of-copyright resources, are open. But so are resources with an open licence such as CC-BY or CC-BY-SA. The Creative Commons ‘Non commercial’ and ‘No derivatives’ licences are not open because they put limits on how you can use resources.

How does this definition map to DigitalNZ? The usage facet includes five values:

• Share
• Modify
• Use commercially
• All rights reserved
• Unknown

These values have been assigned by DigitalNZ based on the 35,000 different rights statements and 30 different copyright statements that are included in DigitalNZ metadata records. I find I have to turn the usage values inside out to really understand them. A resource that only allows you to ‘Share’, excludes the ‘Modify’ and ‘Use commercially’ permissions and so is sort of equivalent to a CC-BY-ND-NC licence. The only open value, according to the definition above, is ‘Use commercially’, which is like CC-BY. I’m assuming that ‘Use commercially’ has been assigned to resources that either out of copyright (or with no known copyright restrictions) or are openly licensed.

It’s also worth noting that the ‘usage’ values are not mutually-exclusive. A record with a ‘usage’ value of ‘Use commercially’, will also be assigned ‘Share’ and ‘Modify’ values. This is because ‘Use commercially’ includes the ‘Share’ and ‘Modify’ permissions. This seems a bit counter-intuitive, but makes sense if you think about doing a search for everything you’re allowed to share.

A rough calculation based on the usage facet indicates that 71.76% of the resources aggregated by DigitalNZ are open. That seems pretty good, though a lot of those are probably out-of-copyright newspaper articles from Papers Past. For a more fine-grained analysis, I decided to look at the ‘usage’ data for each combination of ‘content_partner’ and ‘primary_collection’. How open is each individual collection in DigitalNZ?

For added excitement, and to stretch my knowledge of what Altair can do, I decided to visualise the results as display of colourful fireworks. The higher the explosion, the more open the collection! I’m pretty pleased with the result.

I’ve saved a HTML version of the chart so you can mouseover the explosions for more details. All the code is included in this notebook, along with a CSV file containing all the harvested facet data. #dhhacks

If you like browsing Trove’s digitised newspapers page by page, you might have found that the current interface is a bit clunky. To move between pages you have to hover over the page number and click on ‘Next’ or ‘Previous’. Wouldn’t it be good if you could just use the arrow keys on your keyboard? Well now you can!

I’ve created a very simple script that allows you to use the arrows on your keyboard to move between pages in Trove’s digitised newspapers. Once it’s enabled you can use the following shortcuts:

• ⬆️ Up arrow – go to the first page of the previous issue
• ⬇️ Down arrow – go the the first page of the next issue
• ⬅️ Left arrow – go to the previous page
• ➡️ Right arrow – go to the next page

Go here for installation instructions.

This makes browsing through a newspaper much easier. Enjoy! #dhhacks

There’s a new GLAM Workbench section for working with data from Trove’s Music & Sound zone!

Inside you’ll find out how to harvest all the metadata from ABC Radio National program records – that’s 400,000+ records, from 160 Radio National programs, over more than 20 years.

It’s metadata only, so not full transcripts or audio, though there are links back to the ABC site where you might find transcripts. Most records should at least have a title, a date, the name of the program it was broadcast on, a list of contributors, and perhaps a brief abstract/summary. It’s also worth noting that many of these records, particularly those from the main current affairs programs, represent individual stories or segments – so they provide a detailed record of the major news stories for the last couple of decades!

The harvesting notebook shows you how to get the data from the Trove API. There are a number of duplicate records, and some inconsistencies in the way the data is formatted, so the harvesting code tries to clean things up a bit. You can of course adjust this to meet your own needs.

If you don’t want to do the harvesting yourself, there’s pre-harvested datasets that you can download immediately from Cloudstor and start exploring. The complete harvest of all 400,000+ records is available both in JSONL (newline separated JSON) and CSV formats. There’s also a series of separate datasets for the most frequently occurring programs: RN Breakfast, RN Drive, AM, PM, The World Today, Late Night Live, Life Matters, and the Science Show.

There’s also a notebook that demonstrates a few possible ways you might start to play with the data – looking at the range of programs, the distribution of records over time, the people involved in each story, and words in the titles of each segment.

This is a very rich source of data for examining Australia’s political and social history over the last twenty years. Dive in and see what you can find! #dhhacks

There are a growing number of non-English newspapers in Trove, but how do you know what’s there? After trying a few different approaches, I generated a list of 48 newspapers with non-English content. The full details are in this notebook).

As the notebook describes, I found the language metadata for newspapers was incomplete, so I used some language detection code on a sample of articles from every newspaper to try and find those with non-English content. But this had its own problems – such as the fact that the language detection code thought that bad OCR looked like Maltese…

Anyway, if you’re just searching using English keywords, you might not even be aware that these titles exist. It’s important to explore ways of making diversity visible within large digitised collections. #dhhacks

Last year I did some analysis of the availability of open access versions of research articles published between 2008 and 2018 in Australian Historical Studies. I’ve now broadened this out to cover all individual articles (with a DOI) across a number of journals. It’s pretty grim. Despite Green OA policies that allow researchers to share versions of their articles through institutional repositories, Australian history journals still seem to be about 94% closed.

Full details are in this notebook.

But this can be fixed! If you’re in a university, talk to your librarians about depositing a Green OA version of your article in an institutional repository. If not, you can use the Share your paper service to upload a Green OA version to Zenodo. Your research will be easier to find, easier to access, easier to cite, and available to everyone – not just those with the luxury of an institutional subscription. #dhhacks