Search @TroveAustralia newspapers without leaving Twitter using the updated and enhanced @TroveNewsBot! After 6 years of regular tweeting, TroveNewsBot needed an upgrade. Check out all its new features, including article thumbnails, here. #dhhacks
Recent additions to the Trove Newspapers section of the GLAM Workbench: getting images from @TroveAustralia newspaper articles, and uploading article to @Omeka-S: glam-workbench.github.io/trove-new…
Want to upload @TroveAustralia newspaper articles to @Omeka-S to create an exhibition or populate a research database? This notebook collects article references from a search, a Trove list, or Zotero, & uploads metadata, images & PDF to your Omeka site. #dhhacks
Slides ready for tomorrow’s workshop at @unicanberra – Trove as a pltform for digital research & creativity. Here’s a sneak peek: slides.com/wragge/tr…
Ever wanted to save a @TroveAustralia newspaper article as an image? This notebook lets you do just that. Paste in an article url and you get nice big JPGs to download. It even works with article spread across multiple pages. #dhhacks
More GLAM Workbench updates! More full text of Australian books! I’ve added the notebook & data from my harvest of @TroveAustralia books in the @InternetArchive. There’s metadata and text of 1,153 books to explore. #dhhacks
2019 has been pretty busy so far! I just compiled a list of tools, updates, and examples from the last few months for my @Patreon supporters.
Here’s how you can get the text of Australian books in @TroveAustralia from the Internet Archive (via the Open Library). #dhhacks
I’ve updated the data that sits behind my Trove Places app and added more than 140 newspaper titles. To find @TroveAustralia newspapers published in any region of Australia simply click on the map! #dhhacks
If you’re researching foreign policy using @naagovau you might find this little tool useful – it tries to find the file containing a specific numbered cable. Good for tracking down rogue references! Try it live! #dhhacks
And what can you do with 400 CSV files? Well, you could explore their contents using my GLAM CSV Explorer. Select one of the files to peek inside, or upload your own CSV. #dhhacks
Some overdue updates to the GLAM Workbench. First here’s details, data, and code from a harvest of GLAM datasets on @datagovau. Includes details of more than 400 CSV datasets. #dhhacks
Over the last week I’ve been downloading editorial cartoons published in The Bulletin from @TroveAustralia. There’s 3,471 cartoons – at least one from every issue published between 4 Sep 1886 and 17 Sep 1952. And you can browse them all…
To make it easier to explore the images, I’ve compiled them into a series of PDFs – one PDF for each decade. The PDFs include lower resolution versions of the images together with their publication details and a link to Trove. They’re all available from DropBox:
- 1886 to 1889 (45mb PDF)
- 1890 to 1899 (139mb PDF)
- 1900 to 1909 (147mb PDF)
- 1910 to 1919 (153mb PDF)
- 1920 to 1929 (159mb PDF)
- 1930 to 1939 (151mb PDF)
- 1940 to 1949 (146mb PDF)
- 1950 to 1952 (42mb PDF)
The complete collection of high resolution images (about 60gb in total) can be downloaded from CloudStor. The names of each image file provide useful contextual metadata. For example, the file name 19330412-2774-nla.obj-606969767-7.jpg tells you:
19330412– the cartoon was published on 12 April 19332774– it was published in issue number 2774nla.obj-606969767– the Trove identifier for the issue, can be used to make a url eg[nla.gov.au/nla.obj-6...](https://nla.gov.au/nla.obj-606969767)7– on page 7
There’s some details of the method that I used to find the cartoons in this notebook. I’ve also documented everything in the Trove Journals section of my GLAM Workbench.
Be warned – the language, images, and ideas presented in The Bulletin were often racist, anti-Semitic, and sexist. You won’t have to look far within this collection to find something offensive. This was, after all, the journal whose slogan for many years was ‘Australia for the white man’. This is our history… #dhhacks
Here’s the notebook-ified version of the code I used to harvest all the Australian Commonwealth Hansard XML files from 1901 to 1980: nbviewer.jupyter.org/github/GL…
I’ve reharvested Commonwealth Hansard from 1901 to 1980 and updated my repository of XML files. This should pick up the work of @ParlLibrary staff over recent years to improve the XML output. #dhhacks
And now my GLAM Workbench has a ‘Trove Maps’ section to document examples and explorations using data from @TroveAustralia’s ‘map’ zone: glam-workbench.github.io/trove-map… Includes a list of 20,158 maps with high-res downloads. #dhhacks
The other night @OpenGLAM was sharing collections of high-res images from GLAM orgs that are free to download. That got me thinking about @TroveAustralia’s digitised maps because there’s lots of them, most are out of copyright, and the images are BIG. #dhhacks
If you’d like to make your own big, composite images from lots of @TroveAustralia newspaper thumbnails, here’s a notebook that shows you how.
Australian pilots, aviators, airmen, and flyers — 4,950 thumbnails from a search in @TroveAustralia’s newspapers combined into one very big, zoomable image.
I’ve been busy lately harvesting LOTS of full text data from @TroveAustralia’s digitised journals – so many opportunities for research! You should be able to get to all the code & data from the new Trove journals section of my GLAM Workbench. #dhhacks
I’ve added a section for the @TroveAustralia ‘book’ zone to the GLAM Workbench.
All 9,738 OCRd text files harvested from books, pamphlets and leaflets in @TroveAustralia’s ‘book' zone have been uploaded to @aarnet’s CloudStor for easy browsing/download. There’s also a 400mb zip file if you want the whole lot.
The harvesting method and code is available in this notebook. All this and more will be documented soon in my GLAM Workbench. #dhhacks
So @TroveAustralia includes more than 370,000 press releases, speeches, and interview transcripts issued by Aust federal politicians & saved by the Parliamentary Library. Learn how to harvest metadata & full text to create your own datasets in this notebook. #dhhacks
