And neither typesetting activity results in reusable LinkedData; because it's still not possible to publish Linked Data (or indeed data and its schema) with LaTeX, or Word, or PDF.
ScholarlyArticles' most relevant purpose is to link to the schema:Dataset that the presented analysis is predicated upon.
ScholarlyArticle authors should consider the value of data reuse and (linked data) schema in choosing a typesetting and publishing format.
Is there a better way to publish Linked Data with existing tools like LaTeX, PDF, or Word? Which support CSVW? Which support RDF/RDFa/JSON-LD?
How could authors express experimental study controls with URIs; with qualified typed edges to the data (and a cryptographic signature from an IRB and the ScholarlyArticle's authors).
> Is there a better way to publish Linked Data with existing tools like LaTeX, PDF, or Word? Which support CSVW? Which support RDF/RDFa/JSON-LD?
- [ ] ~"How to publish Linked Data with Jupyter notebooks" #todo #LinkedReproducibility #LinkedResearch
- [ ] westurner/nbmeta, jupyter*/?: Linked Data result object for notebooks; with a _repr_mimebundle_() and application/ld+json
- [ ] python 3.x+ grammar: de-restrict use of the walrus assignment operator := so that users can assign to the LD dict result object and implicitly IPython.display.display() it because walrus assignment returns the object assigned (whereas normal = assignment does not return a value)
- [ ] westurner/nbmeta?, JLab, jupyter-book: JSON-LD Playground widget to display and reframe JSON-LD (& maybe YAML-LD, too)
- [ ] jupyterlab: JS/TypeScript: JSON-LD/YAML-LD editor widget also built on codemirror like JLab or a different existing RDFJS library or?
- [ ] rdflib, jupyter nb, sphinx, pygments: add YAML-LD syntax support (now that there's a W3C spec)
- [ ] MyST markdown, sphinx, docutils: YAML-LD in MyST [in: code-fence attr syntax,] in order to add Linked Data to MyST Markdown documents and thus Jupyter Notebooks and Jupyter Books
- [ ] hypothesis/h, sphinx-comments: Linked Data Annotations (within nested Markdown, like hypothesis' W3C Web Annotations support); cc re: 'MyST-LD' Markdown: quoting "@id", "@context" in YAML-LD
- [ ] atomspace-like TrustValues with RDFstar/SPARQLstar (in YAML-LD because that implies JSON-LD)
- [ ] dvc, GitHub Actions, GitLab CI, Gitea Actions,: how to add PROV RDF Linked Data metadata to workflows like DVC.org's & container+command-in-YAML approach
- [ ] Microsoft/excel, Microsoft/VSCode: How to CSVW and PROV with spreadsheets and or code ; see also Excel speed-running competitons
- [ ] REQ: jupyter/rtc+linkeddata/dokieli: howto integrate Jupyter notebooks with the list of specs in the dokieli README
- [ ] njupyter/nbformat#?: a post- .ipynb notebook + resources spec? W3C Web Bundles have advantages including: you don't have to rewrite URLs in content saved offline like MHTML (mv $1.mhtml $1.mhtml.zip)
- [ ] JupyterLab, VSCode: CoCalc - which supports Time Travel version control over notebooks, LaTeX docs, - added a TODO: ~not_editable code cell metadata item; which is more like lab notebooks in pen; but there's not GUI support in JLab or other Jupyter notebook nbformat implementations yet
> How could authors express experimental study controls with URIs; with qualified typed edges to the data (and a cryptographic signature from an IRB and the ScholarlyArticle's authors).
> Abstract: This specification describes mechanisms for ensuring the authenticity and integrity of Verifiable Credentials and similar types of constrained digital documents using cryptography, especially through the use of digital signatures and related mathematical proofs.
Because data quality, data reuse, code reuse, web standard specifications, structured data outputs with provenance metadata for partially-automated metaanalyses,; https://5stardata.info/
ScholarlyArticles' most relevant purpose is to link to the schema:Dataset that the presented analysis is predicated upon.
ScholarlyArticle authors should consider the value of data reuse and (linked data) schema in choosing a typesetting and publishing format.
Is there a better way to publish Linked Data with existing tools like LaTeX, PDF, or Word? Which support CSVW? Which support RDF/RDFa/JSON-LD?
How could authors express experimental study controls with URIs; with qualified typed edges to the data (and a cryptographic signature from an IRB and the ScholarlyArticle's authors).