We have developed Timely, a domain specific extension of HTML, that enables the visualization, analysis and subsequent export of metadata-enriched time series data within arbitrary websites. The implementation is based on the W3C standard Web components, so that the extension can be used in all current browsers without installing additional plugins. Web components are user-defined HTML elements that are implemented as JavaScript classes and executed in the user’s browser. They can then be used like normal HTML elements such as table, h1, etc. The components can not only have a visual representation but also communicate with backend server processes. A major advantage of this approach is that the web components developed in this way offer website developers a simple yet powerful declarative interface for implementing their functionality, enabling even non-programmers to create and customize simple web applications according to their needs. The developed components allow flexible querying and presentation of time series data in graphical or tabular form. Furthermore, metadata from InfluxDB, such as all available databases, associated measurements (a data structure typically called table in other database systems) and their structures, can be read out and visualized. Like normal HTML elements, web components can be parameterized using attributes. A key feature of our components is the communication between components and their dynamic behaviour in response to changes. When specifying attribute values, property values of other elements can be integrated, which are then monitored for changes. If the value of a property embedded in an attribute value changes, the component is informed and can respond appropriately, for example by executing a new query or adjusting the representation of the visualized data. Similarly, child components are informed of state changes by their ancestor elements. This allows users to easily develop interactive HTML pages for visualising and exporting time series data.
", "languages": [ { "id": "enc", "title": { "en": "En" } } ], "publication_date": "2026-04-28", "publisher": "Zenodo", "resource_type": { "id": "poster", "title": { "de": "Poster", "en": "Poster" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "Timely \u2013 A Domain Specific Language Extension of HTML to Visualize and Query Time Series Data using W3C Web Components" }, "parent": { "access": { "owned_by": { "user": "614984" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "cd6c7fcd-7b06-4394-a3f4-9f3154bffd61", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": false }, "created": "2026-02-09T09:08:24.018824+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "cd6c7fcd-7b06-4394-a3f4-9f3154bffd61", "links": {}, "metadata": { "curation_policy": "All material uploaded here was presented at the HMC Conference in April 2026. Other contribution will not be accepted.
", "organizations": [ { "id": "04v4h0v24" } ], "page": "How does better metadata drive better science?
\nThe Helmholtz Metadata Collaboration (HMC) warmly invites you to the HMC Conference 2026, taking place 28–30 April 2026 at the Deutsches Krebsforschungszentrum (German Cancer Research Center, DKFZ) in Heidelberg, Germany. Under the theme “Metadata in Action,” the conference will explore how metadata generates real scientific impact across disciplines and infrastructures.
\nInfrastructure providers, data stewards, researchers, and developers come together to exchange ideas, showcase innovative solutions, and discuss how metadata actively contributes to data quality, interoperability, and research excellence.
\n
Why Should You Attend?
The HMC Conference 2026 offers a dynamic platform for interdisciplinary collaboration and inspiration. Whether you manage data, develop tools, or conduct research, this is your opportunity to see how metadata practices make science better.
\nBy attending, you will:
\nGain Insights: Learn about the latest developments, tools, and best practices in metadata management.
\nEngage in Hands-On Learning: Participate in interactive sessions and workshops designed for practical exchange.
\nExpand Your Network: Connect with experts, thought leaders, and peers from the Helmholtz Association and beyond.
\n
What’s on the Agenda?
The conference program includes:
\nTalks: Present your research or practical experiences to a broad audience.
\nPosters & Pitches: Share your ideas in concise and interactive formats.
\nDemos: Demonstrate tools, services, or prototypes live.
\n
Conference Themes
Key topics include:
\nSoftware Interoperability for (Meta)data Acquisition
\nFrom Minimum Requirements to FAIR and AI-Ready Metadata
\nEmpowering Research Communities: Turning Metadata into Action
\nSemantics in Practice: Domain & Application Ontologies
\nAdvancing FAIR Metadata with AI
\nJoin us in Heidelberg to explore how metadata is not just managed – it’s making a difference.
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