CESAER - the Conference of European Schools for Advanced Engineering Education and Research - is a non-profit international association of leading European universities of science and technology and engineering schools/faculties at comprehensive universities and university colleges.
The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
swMATH is a freely accessible, innovative information service for mathematical software. swMATH not only provides access to an extensive database of information on mathematical software, but also includes a systematic linking of software packages with relevant mathematical publications.
The Journal of Open Source Software (JOSS) is an academic journal with a formal peer review process that is designed to improve the quality of the software submitted. Upon acceptance into JOSS, a CrossRef DOI is minted and we list your paper on the JOSS website.
Opening Reproducible Research is a DFG-funded research project by Institute for Geoinformatics (ifgi) and University and Regional Library (ULB), University of Münster, Germany
Progress in scientific research is dependent on the quality and accessibility of software at all levels and it is now critical to address many new challenges related to the development, deployment, and maintenance of reusable software. In addition, it is essential that scientists, researchers, and students are able to learn and adopt a new set of software-related skills and methodologies.
The Journal of Open Research Software (JORS) features peer reviewed Software Metapapers describing research software with high reuse potential. We are working with a number of specialist and institutional repositories to ensure that the associated software is professionally archived, preserved, and is openly available. Equally importantly, the software and the papers will be citable, and reuse will be tracked.
JORS also publishes full-length research papers that cover different aspects of creating, maintaining and evaluating open source research software. The aim of the section is to promote the dissemination of best practice and experience related to the development and maintenance of reusable, sustainable research software.
Starting in January 2016 and funded for three years by the German Research Foundation (DFG), project CONQUAIRE – Continuous Quality Control for Research Data to Ensure Reproducibility will focus on reproducibility and quality control during the research process in an institutional setting.
Forschungsdatenmanagement ist eine im wissenschaftlichen Bereich auf den Umgang mit Forschungsdaten ausgerichtete Form des Projektmanagements, der Arbeitsorganisation und -steuerung. Es geht darum, die eigenen Arbeitsprozesse, die die Erzeugung von und den Umgang mit Forschungsdaten betreffen, möglichst effizient und zielorientiert zu organisieren und fortlaufend zu steuern. Den Nutzen und die Vorteile, welche dies mit sich bringt, soll an den nachfolgenden Modulen aufgezeigt werden.
Mit der voranschreitenden Digitalisierung von Forschung und Lehre steigt die Zahl an Software-Lösungen, die an wissenschaftlichen Einrichtungen entstehen und zur Verarbeitung wissenschaftlicher Daten genutzt werden. Die unter dem Stichwort Open Science geforderte Zugänglichkeit und Nachnutzung von wissenschaftlichen Ergebnissen kann in vielen Fachgebieten nur sichergestellt werden, wenn Forschungsdaten und Programmcode offen zugänglich gemacht werden.
Mit der voranschreitenden Digitalisierung von Forschung und Lehre steigt die Zahl an Software-Lösungen, die an wissenschaftlichen Einrichtungen entstehen und zur Verarbeitung wissenschaftlicher Daten genutzt werden. Die unter dem Stichwort Open Science geforderte Zugänglichkeit und Nachnutzung von wissenschaftlichen Ergebnissen kann in vielen Fachgebieten nur sichergestellt werden, wenn Forschungsdaten und Programmcode offen zugänglich gemacht werden.
The Data FAIRport initiative is an open movement started as the practical follow up of a Lorentz Workshop in Leiden, The Netherlands, January 2014, named: Jointly designing a Data FAIRport.
The participants of the workshop represented the worlds of research infrastructure and policy, publishing, the semantic web and life sciences research.
The PREMIS maintenance activity is responsible for maintaining, supporting, and coordinating future revisions to the PREMIS data dictionary. The Preservation Metadata: Implementation Strategies Working Group, convened by OCLC and RLG, initially developed the PREMIS data dictionary as a specification with the goal of creating an implementable set of "core" preservation metadata elements, with broad applicability within the digital community. a supporting xml schema allows for implementation of element set and is maintained in network development marc standards office library congress.
It is important to ensure that different copies or versions of files, files held in different formats or locations, and information that is cross-referenced between files are all subject to version control.
Why is it so important to cite data? Books and journal articles have long benefited from an infrastructure that makes them easy to cite, a key element in the process of research and academic discourse. We believe that you should cite data in just the same way that you can cite other sources of information, such as articles and books.
Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. Martone M. (ed.) San Diego CA: FORCE11; 2014 [/datacitation]. Endorsement List
File naming is a vital first step for those beginning to digitise. This document examines planning and using an effective file naming system when managing digital files. This paper highlights the advantages of using the 8.3 convention and looks at some options when naming derivative, surrogate files.
As a curator and a coder, I know it is essential to use naming conventions. It is important to employ a consistent approach when naming digital files or software components such as modules or variables. However, when a student assistant asked me recently why it was important not to use spaces in our image file names, I struggled to come up with an answer. “Because I said so,” while tempting, is not really an acceptable response. Why, in fact, is this important? For this blog entry, I set out to answer this question and to see if, along the way, I could develop an “elevator pitch” – a short spiel on the reasoning behind file naming conventions.
The Joint Research Centre (JRC) has now made its research data accessible to the public in support of the European Commission’s strategy on Open Science for improved circulation of knowledge and thus innovation for generating growth.
The European Open Science Cloud (EOSC) is envisaged as a stakeholder-driven infrastructure servicing science and innovation. More than a data repository, it will comprise technical elements of connectivity, hardware, repositories, data formats and API’s and it will offer access to a wide range of user-oriented services, data-management, associated HPC analytics environments, stewardship services and, notably, expertise. The EOSC is envisaged as a publicly governed endeavor, but given the scale foreseen and the need for long-term sustainability, parts of it will be realized in collaboration with the industry. High performance analytics environments and services may or may not be part of the EOSC, but will largely develop on top of well-defined and stable EOSC APIs.
Mit docuteam packer werden Informationspakete erzeugt, kontrolliert, visualisiert und angepasst. Bei der Forschungsdatenarchivierung wird docuteam packer von den Forschungsgruppen verwendet, um Daten und Unterlagen zu strukturieren und schliesslich an ein Archiv abzuliefern.
The Australian National Data Service (ANDS) is a program funded by the Australian Government to develop research data infrastructure and enable more effective use of Australia's research data assets.
Among the many online learning resources that the DCC offers digital curators are high-level briefing papers and legal watch, standards watch and technology watch papers.
Our digital library of resources is free to use and contains everything you need to engage effectively in digital curation and data preservation activities.
NISO is where content publishers, libraries, and software developers turn for information industry standards that allow them to work together. Through NISO, all of these communities are able to collaborate on mutually accepted standards
Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.
The Coalition for Networked Information (CNI) is dedicated to supporting the transformative promise of digital information technology for the advancement of scholarly communication and the enrichment of intellectual productivity.
In Berlin beginnt heute die elfte Konferenz "Academic Publishing in Europe (APE)": Die Thesen von Barend Mons zur Zukunft des wissenschaftlichen Publizierens versprechen kontroverse Diskussionen. Für boersenblatt.net sprach Sven Fund kurz vor der Konferenz mit Mons, der Professor am niederländischen Leiden University Medical Center ist.
The Dataverse Project is an open source software application to share, cite and archive data. Dataverse provides a robust infrastructure for data stewards to host and archive data, while offering researchers an easy way to share and get credit for their data.
The Research Data Alliance (RDA) builds the social and technical bridges that enable open sharing of data.
The RDA vision is researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society.
We want to help make data more accessible and more useful; our purpose is to develop and support methods to locate, identify and cite data and other research objects.
Im Januar 2013 hat der Wissenschaftsrat Empfehlungen zu einem Kerndatensatz Forschung verabschiedet. Der Kerndatensatz ist ein Angebot an Hochschulen und außeruniversitäre Forschungseinrichtungen, um bereits bestehende Aktivitäten bei der informationstechnischen Erfassung ihrer Forschungsaktivitäten zu unterstützen. Er stellt einen Standard zur Eigenverwaltung dieser Daten bereit, eine zentrale Datensammlung erfolgt nicht.
F. Kleinkopf. Schriftenreihe des Archivs für Urheber- und Medienrecht Nomos, Baden-Baden, (2022)Immer häufiger werden digitale Methoden wie das Text- und Data-Miningzur Erkenntnisfindung eingesetzt, das die Möglichkeit bietet, Musterin großen Datensätzen zu erkennen und zugleich Grundlage desmaschinellen Lernens ist. Die Arbeit betrachtet diese Methode ausurheberrechtlicher Perspektive und berücksichtigt dabei die Bedeutungund Steuerungswirkung urheberrechtlicher Schranken, die besondereInteressenlage im Wissenschaftsurheberrecht sowie interdisziplinäreErkenntnisse. In der umfassenden Analyse wird die komplexeRechtsmaterie strukturiert, es werden Defizite aufgezeigt und konkreteLösungsvorschläge unterbreitet. Ein Schwerpunkt liegt dabei auf derlangfristigen Zugänglichkeit der erzeugten Forschungsdaten..
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)