Suchergebnisse

There exists a huge variety of Open Data portals, some of them providing just a handful, and others tens of thousands of datasets. The datasets they provide are expected to be supplied with metadata describing them. However, this metadata is typically available in one or two languages only, and, if translations exist, they are usually added manually. To build an inclusive data infrastructure, metadata should be available in as many languages as possible. The paper presents an approach for automatic translation of metadata within Open Data portals, based on Semantic Web technologies and using the metadata standard DCAT-AP. Based on this approach, new functionalities are possible, such as enabling users to search for datasets in their native language. The approach was implemented for and tested within a practical application in a production environment.

Recently, a larger public has started to critically discuss scientific knowledge and its role in political decision making. In this discussion, scientific and civic epistemologies are put into connection with each other. Just as post-democratic theory argues in relation to political decisions, the production of scientific knowledge is criticized as a non-inclusive process, too. The Citizen Science movement tries to resolve this deficit by involving citizens into research. In this paper, we introduce agency as an analytical category into the discussion, focussing on how participants are represented in Citizen Science. We highlight the interdependencies between the degree of agency granted to the participants in Citizen Science projects and the degree of their representation in knowledge production. ; This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) under grant no. 16DII111 ("Deutsches Internet-Institut").

Recently, a larger public has started to critically discuss scientific knowledge and its role in political decision making. In this discussion, scientific and civic epistemologies are put into connection with each other. Just as post-democratic theory argues in relation to political decisions, the production of scientific knowledge is criticized as a non-inclusive process, too. The Citizen Science movement tries to resolve this deficit by involving citizens into research. In this paper, we introduce agency as an analytical category into the discussion, focussing on how participants are represented in Citizen Science. We highlight the interdependencies between the degree of agency granted to the participants in Citizen Science projects and the degree of their representation in knowledge production.

The provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.

In this paper, we present our ideas on how to best support researchers in every phase of the research process when dealing with their research data. We propose a Research Data Portal as the central data infrastructure. With the help of this portal, a researcher can easily manage and update his or her research data, share it with collaborators, and reach out to the public. We further propose a Citizen Science Portal, which includes some new and innovative concepts and methods. In this portal, Citizen Science and Auto Science concepts are applied, and support to bring together the best of both worlds is provided. Citizen Science promises to entail the individual (scientists and hobby scientists) to help with research. Auto Science is meant to help analyze research data, e.g., to help publish the data and to help improve its quality, by applying methods from artificial intelligence.

Within the agreement on the establishment and promotion of a National Research Data Infrastructure (NFDI), the Federal German Government and the Länder are striving for a discipline-specific service structure for research data, which aims for their long-term storage, safeguarding and accessibility. In the field of the applied urban research, data from different sectors such as administration, buildings, environment, mobility, social affairs must be considered and linked. In this workshop the NFDI4City-initiative met and discussed its overall vision, conceptual solutions as well as data domains inside and across these sectors. The goal of NFDI4City is to create new databased overarching understandings of urban development through standardization and data analysis in the "Urban System".

Das Weizenbaum-Institut nimmt Stellung zum geplanten Dateninstitut. Nach einer kurzen Einleitung werden Ziel und Aufgabe, Adressaten, Herausforderungen und konkrete Handlungsbereiche behandelt.

Die Handreichung ist das Ergebnis eines Workshops der Forschungsgruppe "Digitalisierung der Wissenschaft" am Weizenbaum-Institut in Berlin am 17. Januar 2020. Ziel dieser Handreichung ist es, grundsätzliche Einstiegsfragen zum Thema Öffnen und Teilen von qualitativen Forschungsdaten zu beantworten. Dabei verstehen wir unter Öffnen und Teilen die Zugänglichmachung zur Sekundärnutzung für andere Forschende. In dieser Handreichung werden wir auf die Unterschiede zwischen verschiedenen Forschungsfeldern und deren Eigenheiten im Umgang mit qualitativen Forschungsdaten eingehen und dabei auch die Unterschiedlichkeit verschiedener Datensorten berücksichtigen (z.B. Interviewtranskripte, Videoaufzeichnungen, Beobachtungsprotokolle, Primär- und Kontextdaten).

This work has been funded by the Federal Ministry of Education and Research of
Germany (BMBF) (grant no.: 16DII121, 16DII122, 16DII123, 16DII124, 16DII125,
16DII126, 16DII127, 16DII128 - "Deutsches Internet-Institut").

Diese Arbeit wurde durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert (Förderkennzeichen: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 - "Deutsches Internet-Institut").

Das NFDI4Ing CC-41 Community Meeting 2022 des Maschinenbaus und der Produktionstechnik fand am 03. März 2022 statt. The NFDI4Ing CC-41 Community Meeting 2022 of Mechanical and Production Engineering took place on 03 March 2022. Die Autorinnen und Autoren möchten sich bei Bund, Ländern und bei der Gemeinsamen Wissenschaftskonferenz (GWK) für die Förderung und Unterstützung im Rahmen des Konsortiums NFDI4Ing bedanken. Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 442146713. The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713. Sofern im jeweiligen Dokument nicht anders angegeben, stehen die Dateien unter der CC-BY 4.0 Lizenz. Bitte beachten Sie die Lizenzkommentare in den jeweiligen Slide Decks. If not stated otherwise within the respective document, the files go by CC-BY 4.0 license. Please refer to the license comments in the resprective slide decks.