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docs/community/projects/linkedartii/background-resources/index.md
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title: "Linked Art II: Background Resources" | ||
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[TOC] | ||
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This page provides additional background material for the [Linked Art questionnaire](../questionnaire/). | ||
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# Linked Art workshop | ||
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Linked Art ran a 2 hour [workshop at the CIDOC 2020](https://linked.art/community/events/2020/cidoc/) conference providing a wealth of background motivation and detail, a recording of which can be found below. | ||
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The workshop included: | ||
* An overview of the Linked Art initiative and community (00:00) | ||
* A technical introduction to the Linked Art profile and overview of the core principles (from 00:14) (also available separately in the next section) | ||
* The Van Gogh Worldwide project and its use of the Linked Art model (from 00:34) | ||
Followed by audience Q&A | ||
* A live encoding of data from the Rijksmuseum into Linked Art (from 01:35) | ||
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[![Watch the video](https://img.youtube.com/vi/afO7KEysda8/default.jpg)](https://youtu.be/afO7KEysda8) | ||
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Video length is 1 hour 53 minutes. | ||
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# Linked Art Profile - overview | ||
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A short (20 minute) technical introduction to the Linked Art profile: | ||
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[![Watch the video](https://img.youtube.com/vi/lDbasKNtWM8/default.jpg)](https://youtu.be/lDbasKNtWM8) | ||
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Video length is 19 minutes. | ||
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# Linked Data | ||
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Linked Art is a targeted and focussed realisation of Linked Data. This video gives a quick 12 minute introduction to what Linked Data is. | ||
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[![Watch the video](https://img.youtube.com/vi/4x_xzT5eF5Q/default.jpg)](https://youtu.be/4x_xzT5eF5Q) | ||
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Video length is 12 minutes. | ||
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# JSON-LD | ||
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JSON-LD is serialisation format for Linked Data that is used to represent descriptions of artworks as Linked Art. This video gives a quick 13 minute introduction to JSON-LD: | ||
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[![Watch the video](https://img.youtube.com/vi/vioCbTo3C-4/default.jpg)](https://youtu.be/vioCbTo3C-4) | ||
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Video length is 13 minutes. | ||
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# Jupyter Notebook | ||
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For those new to Jupyter Notebooks, we recommend you watch this short 7 minute introduction: | ||
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[![Watch the video](https://img.youtube.com/vi/jZ952vChhuI/default.jpg)](https://youtu.be/jZ952vChhuI) | ||
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Video length is 7 minutes. | ||
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# Linked Art Jupyter Code Notebooks | ||
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For convenience, here is an annotated list of all the code notebooks from Section 2 of the questionnaire. | ||
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The different types of Jupyter notebooks: | ||
* Transform - transformations using real-world collections data | ||
* Reconcile - reconciliation of collections data with authoritative data on geographical place names | ||
* Visualise - visualisation using Linked Art JSON-LD | ||
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|Notebook type | Notebook | Download | nbviewer | Binder | | ||
| -------- | ------------- | ------------- | ------- | ------ | | ||
| Transform | Indianapolis Museum of Art | [download](https://github.com/tgra/Linked-Art/01-01-Transform-XML-IMA.ipynb) | [nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/01-01-Transform-XML-IMA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=01-01-Transform-XML-IMA.ipynb)| | ||
| Transform| Philadelphia Museum of Art | [download](https://github.com/tgra/Linked-Art/01-04-Transform-CSV-PMA.ipynb) | [nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/01-04-Transform-CSV-PMA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=01-04-Transform-CSV-PMA.ipynb) | | ||
| Transform| Cleveland Museum of Art | [download](https://github.com/tgra/Linked-Art/01-02-Transform-CSV-CMA.ipynb) | [nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/01-02-Transform-CSV-CMA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=01-02-Transform-CSV-CMA.ipynb) | | ||
| Transform| National Gallery of Art | [download](https://github.com/tgra/Linked-Art/01-03-Transform-CSV-NGA.ipynb) | [nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/01-03-Transform-CSV-NGA.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=01-03-Transform-CSV-NGA.ipynb) | | ||
| Transform| Harvard Art Museum | [download](https://github.com/tgra/Linked-Art/01-05-Transform-JSON-Harvard-API.ipynb) | [nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/01-05-Transform-JSON-Harvard-API.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=01-05-Transform-JSON-Harvard-API.ipynb) | | ||
| Reconcile| John Ruskin artworks - reconcile place names | [download](https://github.com/tgra/Linked-Art/02-01-Reconcile-John-Ruskin-Place-Names.ipynb) | [nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/02-01-Reconcile-John-Ruskin-Place-Names.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=02-01-Reconcile-John-Ruskin-Place-Names.ipynb) | | ||
| Visualise | John Ruskin artworks - Timeline - Transform Data | [download](https://github.com/tgra/Linked-Art/02-01-Visualise-John-Ruskin-Transform-Data.ipynb)|[nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/02-01-Visualise-John-Ruskin-Transform-Data.ipynb)|[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=02-01-Visualise-John-Ruskin-Transform-Data.ipynb)| | ||
| Visualise | John Ruskin artworks - Timeline - Visualise with Google | [download](https://github.com/tgra/Linked-Art/02-02-Visualise-John-Ruskin-Google-Spreadsheet.ipynb)|[nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/02-02-Visualise-John-Ruskin-Google-Spreadsheet.ipynb)|[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=02-02-Visualise-John-Ruskin-Google-Spreadsheet.ipynb)| | ||
| Visualise | John Ruskin artworks - Timeline - Visualise locally | [download](https://github.com/tgra/Linked-Art/02-03-Visualise-John-Ruskin-Local.ipynb)|[nbviewer](https://nbviewer.org/github/tgra/Linked-Art/blob/main/02-03-Visualise-John-Ruskin-Local.ipynb)|[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/tgra/Linked-Art/HEAD?labpath=02-03-Visualise-John-Ruskin-Local.ipynb)| | ||
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docs/community/projects/linkedartii/questionnaire-background-resources/index.md
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docs/community/projects/linkedartii/questionnaire/index.md
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title: "Linked Art II: Questionnaire" | ||
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[TOC] | ||
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# Questionnaire | ||
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The Linked Art questionnaire seek views from all interested persons on the use and adoption of Linked Art, particularly of any opportunities and challenges that can be forseen. | ||
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The questionnaire has been produced by the Linked Art II project at the University of Oxford, and comprises four sections: | ||
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* Section 1 - Improving Collections Data | ||
Can Linked Art help improve collections data across institutions? | ||
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* Section 2 - Exploring Technical Implementations (optional) | ||
Feedback on interactive notebooks developed by the project to illuminate the process of creating, reconciling, and visualising Linked Art data. | ||
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* Section 3 - Opportunities | ||
Your ideas for specific applications of Linked Art which could support your collections data or scholarship, along with an opportunity for the project to help you implement these ideas. | ||
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* Section 4 - About Yourself | ||
To help us understand your background and motivations. | ||
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The questionnaire will be available via the following link: | ||
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[Linked Art questionnaire](https://oxford.onlinesurveys.ac.uk/linked-art-adoption-opportunities-and-challenges) | ||
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## Background Resources | ||
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Some [background resources](../background-resources/) are available to support people with the questionnaire and the associated Linked Art code notebooks. | ||
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## Webinar | ||
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A webinar on 3rd May 2022 describes the code notebooks referenced in the questionnaire. Further information including how to register for this free webinar is [available here](../webinar/). |
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title: "Webinar: Linked Art in Practice using Jupyter Code Notebooks - | ||
Connecting Cultural Heritage Collections Data" | ||
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[TOC] | ||
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# Webinar | ||
The AHRC-funded Linked Art II project and Digital Scholarship at Oxford invite you to a webinar at 1-2pm on Tuesday 3 May 2022, to be held on Zoom. The webinar will be of interest to practitioners and scholars working with collections data who wish to learn about software tools, including ‘code notebooks’, which can be used to create and apply Linked Art. | ||
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Please register in advance for the webinar using the link below. | ||
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## Linked Art | ||
[Linked Art](https://linked.art) is a new data standard being developed to describe artworks and facilitate connections between cultural heritage collections, thereby creating new opportunities for digital discovery and research using this interlinked data. | ||
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## Code Notebooks | ||
In this webinar, Research Software Engineer Tanya Gray will guide attendees through a practical exploration of transforming, reconciling, and visualising Linked Art, using real-world data from museums and galleries worldwide. These will be demonstrated using ‘code notebooks’ developed during the Linked Art II project and implemented in Jupyter. The notebooks provide step-by-step illustration and explanation, and can provide a foundation for further customisation. | ||
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## Linked Art Questionnaire | ||
The webinar complements a forthcoming public questionnaire about Linked Art, which will [launch in the coming weeks](../questionnaire/) and we would be grateful if you could complete. | ||
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## Webinar Q&A | ||
The webinar will end with a Q&A session during which audience members can ask any questions about the code notebooks and forthcoming questionnaire. In addition, speakers will be available to take further questions for 30 minutes following the main webinar (i.e. 2-2.30pm). | ||
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## How to Register | ||
Please register for the webinar [here](https://oxford.onlinesurveys.ac.uk/webinar-linked-art-in-practice) | ||
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