Download Hitachi Vantara | Pentaho for free. Easy-to-Use business intelligence (BI) for all. Pentaho tightly couples data integration with business analytics in a modern platform that brings together IT and business users to easily access, visualize and explore all data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise in the cloud or on-the-go (mobile).
Data obtained from the open survey developed by the LEARN project (http://www.learn-rdm.eu/) as a self-assessment tool to assist institutions discover how ready they are for managing research data. This dataset replaces the first one published at http://doi.org/10.5281/zenodo.61903. The survey is based on the issues posed to institutions by the LERU Roadmap for Research Data published at the end of 2013, and available at: http://www.learn-rdm.eu/material/leru_roadmap_for_research_data The survey has thirteen questions addressing the main elements to be taken into account in developing an institutional strategy for research data management. Each question has three possible answers representing green, yellow or red light. The more ‘green light’ responses recorded, the readier an institution probably is for managing its research data. The survey is available in English at http://learn-rdm.eu/en/rdm-readiness-survey/ and in Spanish at http://learn-rdm.eu/encuesta-rdm/
This document specifies a method of organising file-based data with associated metadata, known as DataCrate in both human and machine readable formats, based on the schema.org linked-data vocabularly, supplemented with terms from the SPAR ontologies and [PCDM] where schema.org does not have coverage. The motivation for this work comes from the research domain.
A DataCrate is a dataset a set of files contained in a single directory. There are two ways of organizing a DataCrate.
For working data or data that does not need to be distributed with checksums, a Working DataCrate is a plain-old directory containing payload data files, with two metadata files at the root; one for humans and one for machines.
For distribution, or archiving; where integrity is important, a Bagged DataCrate is a BagIt bag conforming to the DataCrate BagIt profile with the payload files in the /data directory. A Bagged DataCrate has a clear separation between metadata and payload, and can be integrity-checked using the checksums in the BagIt manifest.
Calcyte is (will be) a toolkit for managing metadata for collections of content
via automatically generated spreadsheets and for creating static HTML repositories.
Calcyte targets the Draft DataCrate Packaging format v0.2.
At this stage Calcyte does not Bag content, it jsut creates Working DataCrates.
Computation, experimentation, teaching: Jetstream benefits researchers from a range of fields by focusing on usability and support. You can even create virtual machines that look and feel like your lab workstation or home machine, with thousands of times the computing power.
The HydroShare architecture is a stack of storage and computation, web services, and user applications. A content management system, Django+Mezzanine, provides user interface, search, social media functions, and services. iRODS provides content storage. A web browser is the main interface to HydroShare, however a web services applications programming interface (API) supports access through other hydrologic modeling systems, and the architecture separates the interface layer and services layer exposing all functionality through these web services.
PRONOM is an online technical registry providing impartial and definitive information about file formats, software products and other technical components required to support long-term access of electronic records.
The WAND Engineering Taxonomy includes over 1,200 terms and 165 synonyms.
Top Level terms include Engineering Design Process, Engineering Documents, Engineering Drawings, Engineering Fields, Engineering Materials, as well as Engineering Standards and Codes Organizations.
The WAND Engineering Taxonomy provides a strong foundation for any enterprise that needs to tag and organize documents related to the field of engineering.
Open Repository offers enhanced DSpace software with Elastic Search, JavaScript technologies & more. Easy structure-metadata, intuitive deposit & review workflow, tools for discovery, contorl access, share via social media & bibliography tools and tools for visualisation
The CEOS System Engineering Office (SEO) worked with the CEOS Working Group on Information Systems and Services (WGISS) to gather and organize key information on data policies, data access portals and interoperability protocols.
CEOS is currently operating and planning hundreds of Earth observation satellites. The information contained in this portal will improve the efficiency and effectiveness of gaining access to space-based Earth observation data to support many global intiatives with vast societal impact.
Software Package Data Exchange® (SPDX®) specification is a standard format for communicating the components, licenses and copyrights associated with software packages.
This paper introduces application profiles as a type of metadata schema. We use application profiles as a way of making sense of the differing relationship that implementors and namespace managers have towards metadata schema, and the different ways they use and develop schema. The idea of application profiles grew out of UKOLN's work on the DESIRE project (1), and since then has proved so helpful to us in our discussions of schemas and registries that we want to throw it out for wider discussion in the run-up to the DC8 Workshop in Ottawa in October.
Ask biological questions, get computational answers, choose the right tool to analyze your data. OMICtools bridges the gap between life science and computational biology.
L. Käde. Datenrecht und neue Technologien Nomos, Baden-Baden, 1 Edition, (2021)Die interdisziplinäre Analyse nimmt konkreten Bezug zu in derKI-Entwicklung eingesetzten Machine Learning (ML)-Frameworks und gibtpraxisrelevante Antworten auf damit zusammenhängendeurheberrechtliche Fragen. Insbesondere der Datenbank(werk)schutz fürML-Modelle steht dabei im Fokus. Die Arbeit bietet außerdem eineEinschätzung der Relevanz von Text und Data Mining-Schranken imKI-Kontext. Mit Blick auf die Erzeugung von Werken durch bzw. mithilfevon ML wird die Zurechnungsproblematik erörtert, eine Lösungvorgeschlagen und eine Hilfestellung zur Ermittlung eines Urhebersangeboten. Darüber hinaus erfolgt hinsichtlich etwaiger KI-Autonomieeine Einführung in die Zusammenhänge von Intelligenz, Kreativitätund Computational Creativity..
A. Schreiber, und R. Struminski. Universal Access in Human--Computer Interaction. Design and Development Approaches and Methods: 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9--14, 2017, Proceedings, Part I 11, Seite 444--455. Springer, (2017)
K. Wilms, S. Stieglitz, A. Buchholz, R. Vogl, und D. Rudolph. Proceedings of the 51st Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, (2018)
A. Kesper, V. Wenz, und G. Taentzer. (2020)cite arxiv:2007.11298Comment: 28 pages. This paper is an extended version of a paper to be published in "ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20)". Added subtitle.
