Introduction

Drupal Statistics: Drupal is going to be one of the most favored at the disposal of developers and businesses in the year 2024, as it has managed to keep IT and content management system development at the top of the game. Due to its powerful characteristics of flexibility, security, and scalability, it has managed to create a market for itself in the intensely competitive CMS market.

This article presents an in-depth analysis of major Drupal statistics for the year 2024, with a focus on usage patterns, distribution, users, and economic concerns.

This project sees itself as a demonstration for the application and visualization of open data with the help of the open-source CMS Drupal. For this purpose, a Drupal module was published specifically for the open data of the city of Vienna, which provides Drupal configurations and simplifies the visualization of geo-based data. The aim is to provide users of Drupal with the easiest possible access to open data of the City of Vienna, as well as to explain how easy it is to integrate such data and thus contribute to a wider use of the offer. In addition, the imported data is made available as Linked Open Data via SPARQL and in some cases also offered in other data formats (JSON, XML, RDF). For the visualization and the map material, OpenStreetMap, Maps from Kartenwerkstatt.at and the Web Map Tile Service of the City of Vienna were used. The project was carried out within the framework of the 2. Vienna CreateCamps initiated by drupal-austria.at members. ### Links Open Data Vienna Drupal module

The Drupal extension for CKAN aims to facilitate integration between CKAN and Drupal content management systems. Based on the available, albeit limited, information, this extension likely serves to connect CKAN datasets with Drupal websites, potentially allowing for streamlined data publishing and management across both platforms. This linkage could involve embedding CKAN data visualizations within Drupal pages or utilizing Drupal's user authentication system for CKAN access control. Key Features (Inferred): Data Integration between CKAN and Drupal: Enables the embedding of CKAN datasets and visualizations within Drupal content, offering a consolidated view of data and content. (inferred) User Authentication Synchronization (Potential): May provide synchronization of user authentication between Drupal and CKAN, allowing Drupal users to seamlessly access CKAN resources (inferred based on best possible assumption). Content Management Alignment: Facilitates the integration of CKAN datasets within the Drupal content workflow, allowing users or editors to manage the availability and location of data assets. (inferred) Technical Integration: Given the limited information, the exact integration method is unclear. However, it is reasonable to assume that the extension likely functions by providing a Drupal module that interacts with the CKAN API. This module would enable Drupal to fetch metadata and potentially the actual data from CKAN, which can be rendered or embedded in Drupal pages. Configuration in Drupal to point to the relevant CKAN instance would be required. This might also include configuration within CKAN to recognize and communicate with the Drupal instance for authentication or data push mechanisms. Benefits & Impact (Inferred): By integrating CKAN and Drupal, organizations can leverage the strengths of both platforms. CKAN excels at data management and cataloguing, while Drupal is a powerful content management system. By enabling Drupal websites to directly consume data from CKAN, this integration promotes data-driven decision-making and improves the accessibility of open data to a broader audience. This combined approach can streamline data publishing workflows and enhance how data is presented and contextualized for end-users within a familiar content management ecosystem.

Mitigation Best Practices are stories, articles or case studies about individuals, businesses or communities that undertook successful efforts to reduce or eliminate disaster risks.

The Drupal Development Service market has emerged as a pivotal player in the global landscape of content management systems, catering to businesses seeking robust and scalable digital solutions. With Drupal being an open-source platform renowned for its flexibility, security, and user-friendly interface, organizatio

Continuous Water Quality Monitoring (CWQM) refers to the application of in situ instrumentation coupled with operational and analytical methodologies that enable acquisition of temporally and (or) spatially dense datasets without the need for routine collection and analysis of physical samples other than for periodic calibration purposes.

This data collection contains the results of an evaluation of commercially available CWM instruments for deployment in Queensland estuarine and marine settings. The instruments were evaluated on criteria which included (i) utility of analyte to both modelling and monitoring requirements, (ii) ability to measure analyte concentrations accurately and capture relevant temporal and spatial variability, (iii) cost, both capital and ongoing operational, (iv) logistics, including maintenance requirements, mounting, telemetry infrastructure and site access, and (v) ease of instrument operation and the required effort for information to be understood and applied.

This information was used to inform the strategy for implementing a CWQM program to support the eReefs research platform (please refer to the linked publication for details)

Important Disclaimer The information contained in this datasets includes general statements based on scientific research and on evaluation of instruments as they were at a particular point in time for a specific set of purposes. This information may be obsolete, incomplete or unable to be used in any specific situation. Reuse it at your own risk. Lineage: The CWQM Instruments Database was originally published as a subsection of the TERN Australian Coastal Ecosystems Facility (ACEF) website at a URL of http://acef.tern.org.au/wqtech/. The database records were create on September 24th, 2014 and so the instrument information is only current for that date.

This website was based on the Drupal 7 Content Management System (CMS) and the database was implemented using a mix of Drupal entity types, including taxonomies, fieldsets and custom content types. The files in this data collection have been created by exporting data from that website in tabular formats, editing some column names for readability, and updating the CWQM Instrument Image filenames to be readable. The exports were performed on 2024-12-03, using a backup of the ACEF website database created at the time the website was decommissioned in July 2024.

The data files are: CWQM-Instruments-Database.xlsx - contains multiple worksheets, one for each Drupal entity which made up the database. Each worksheet has a single header-row.

CWQM-Instrument-Manufacturers.csv, CWQM-Instrument-Parameters.csv, CWQM-Instruments.csv, CWQM-Interfaces.csv and CWQM-Parameters.csv are all UTF-8-encoded exports from the CWQM-Instruments-Database.xlsx spreadsheet in comma-separated-variables (CSV) format, one file per worksheet. All CSV files have a single header-row.

The CWQM-Instruments-Images image gallery contains an image of each of the instruments in the database (see the CWQM Instruments worksheet/csv file for which filename goes with which instrument). Copyright and credit for these images should be attributed to the manufacturer of the instrument in question.

Version Compatibility: Designed to work with CKAN versions 2.10 and greater, as well as Python versions 3.7 and above. Technical Integration: The drupal_api extension integrates with CKAN by adding a plugin that fetches data from the designated Drupal API endpoint and caches it. Enabling this plugin involves adding drupal_api to the ckan.plugins setting within the CKAN configuration file (typically /etc/ckan/default/ckan.ini). After modifying the configuration, a CKAN restart is required to activate the extension. Benefits & Impact: By using the drupal-api extension, organizations can maintain a consistent look and feel between their CKAN data catalog and their Drupal-based website. This includes headers and footers so users can navigate both systems while experiencing design uniformity, fostering trust and ease of use. The configurable caching mechanism also helps optimize the performance of the system, minimizing the impact on the Drupal server while ensuring data freshness within a reasonable timeframe.

The need for data sharing and rapid data access has become central with the rise of collaborative research in many disciplines. For the general public, several file sharing products are available that post and share files using web browsers. But for science data and research use, these products are not well suited. While consumer products get by with manual user interfaces to add and remove a few shared files, this is not practical for sharing large numbers of science data files, like those generated during and after large-scale computation. Instead, automated and scriptable mechanisms are required that can integrate into computation workflows to post files during and after computation jobs. Scientific data sharing also requires support for collaborative discussion of research results, quick rough-draft visualizations to analyze the data, and support for metadata and descriptive information that can record job and compute platform characteristics, input data, job parameters, job completion status, and other provenance information.Here we describe work in progress under the umbrella of the SeedMe (Stream, Encode, Explore and Disseminate My Experiments) project that is developing scientific data-sharing and data management tools that cater to the unique needs of computational scientists. These tools support automated and scriptable access to shared data, browser-based data access, secure data storage, sharing with a project workgroup, data descriptions and metadata, threaded collaborative discussion, and light-weight visualization.

The ckanext-drupal8 extension for CKAN is designed to facilitate integration between CKAN data portals and Drupal 8 websites. While the precise functionality isn't explicitly detailed in the provided README, it appears to aim at enabling some form of data exchange or synchronization between these two platforms. Based on the name of the extension, it is likely that its primary goal is to make CKAN datasets accessible and usable within a Drupal 8 environment, potentially including features for embedding CKAN resources or metadata directly into Drupal pages. Key Features (Inferred): Drupal 8 Integration: The extension is specifically built to work with Drupal 8, implying compatibility with Drupal's architecture and APIs. Data Synchronization (Potential): It may offer mechanisms for synchronizing dataset metadata or content between CKAN and Drupal. Though synchronization capabilities are not confirmed via the provided text, the extension name points towards this feature. CKAN Data Embedding (Potential): Function(s) allowing CKAN datasets or resources to be embedded within Drupal pages or content types. Configuration Settings: The extension provides configuration options, presumably to define connection parameters or control data synchronization frequency based on the provided documentation. Technical Integration: The installation instructions mention adding the drupal8 plugin to the CKAN configuration file, which indicates that the extension operates as a CKAN plugin. This would allow it to hook into CKAN's internal events and APIs, potentially exposing new API endpoints or UI elements that are then consumed by a Drupal module or theme. Given the limited information, no further technical integrations can be definitively confirmed. Benefits & Impact (Inferred): By enabling Drupal 8 integration, the ckanext-drupal8 extension could streamline the process of displaying CKAN data on Drupal-powered websites, thereby improving data accessibility and promoting data-driven decision-making. Additionally, the extension may simplify Drupal content management by allowing CKAN to serve as a centralized data repository, which Drupal can then leverage. This could result in improved workflow efficiency, and improved data governance. Note: Due to the limited information in the README, some of the above features are inferred. The extension's actual functionality might be more or less extensive.

The ckanext-dgu extension provides customizations to CKAN specifically tailored for the data.gov.uk project. It encompasses a range of plugins, templates, and scripts designed to enhance CKAN's functionality for managing and presenting UK government data, as well as integrating with other systems like Drupal. The extension modifies dataset forms, search capabilities, authorization rules, and user interfaces to meet the specific requirements of data.gov.uk. Key Features: Custom Dataset Edit Form: Adds custom fields such as temporal and geographic coverage to the dataset edit form. DGU-Customized Search: Implements different facets and adjusted search field weighting to improve data discovery. Publisher Management: Introduces a publisher controller that includes browsing, applying for editor or admin roles, and managing publisher hierarchies. Drupal Integration: Enables Drupal login, copies user details from Drupal into CKAN, displays comments below datasets, and provides APIs for Drupal to display recent datasets. Authorization Customizations: Enforces specific authorization rules, including role-based permission hierarchies and API key requirements for package creation/editing. Also restricts editing of UKLP/ONS packages to harvesting or specific loaders unless the user is a sysadmin. Automated Database Dumping and Backups: Provides a daily script (gov_daily) to save database dumps in JSON/CSV format for end-users, as well as SQL backups. Resource Modification Tracking: Updates the last modification date of a package when a resource is created, deleted, or its URL is changed. Custom Theme: Includes templates and helper functions, modifying the display of user names based on roles and adding the 'Vary: Cookie' header. Technical Integration: The extension integrates deeply with CKAN through a collection of plugins, middleware, and schema modifications. It utilizes the CKAN plugin architecture to override default behaviors, add new controllers, and modify authorization rules. The extension also requires adjustments to the SOLR schema to accommodate the custom fields and search configurations. Configuration options in the CKAN .ini file are used to set up Drupal RPC connections, specify the DGU SOLR schema, and enable the custom package form. Benefits & Impact: The ckanext-dgu extension provides critical enhancements to CKAN for data.gov.uk, ensuring the platform meets the specific needs of UK government data management. By customizing dataset forms, search functionality, and authorization rules, the extension facilitates efficient data publication, discovery, and access. It makes the CKAN-based data catalog more user-friendly specifically for UK governmental users, publishers, and end-users. The automated database dumping and backup scripts enhance data security and availability which are of vital importance to data.gov.uk.

Dieses Projekt sieht sich als Demonstration für die Anwendung und Visualisierung von offenen Daten mit Hilfe des quelloffenen CMS Drupal. Hierzu wurde ein Drupal Modul speziell für die offenen Daten der Stadt Wien publiziert, das Drupal Konfigurationen bereitstellt und die Visualisierung geobasierter Daten vereinfacht. Ziel ist es, Benutzerinnen und Benutzern von Drupal möglichst einfachen Zugang zu offenen Daten der Stadt Wien zu verschaffen, sowie darzulegen, wie einfach die Einbindung solcher Daten möglich ist und so zu einer breiteren Nutzung des Angebots beizutragen. Darüber hinaus werden die importierten Daten als Linked Open Data via SPARQL verfügbar gemacht und zum Teil auch in weiteren Datenformaten (JSON, XML, RDF) angeboten. Für die Visualisierung und das Kartenmaterial wurden u.a. OpenStreetMap, Maps von Kartenwerkstatt.at und das Web Map Tile Service der Stadt Wien verwendet. Das Projekt wurde im Rahmen des 2. Wiener CreateCamps von drupal-austria.at Mitgliedern initiiert.