Schöpfel, Joachim
Preferred name
Schöpfel, Joachim
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Item type:Publication, From Open Repositories to CRIS. A Case Study(euroCRIS, 2024-05-15); ; ; ; The development of Current Research Information Systems (CRIS) and Institutional Repositories (IR) initially involved distinct systems with different objectives, functionalities, standards, and user groups. They both contribute to the "fourth paradigm" of data-intensive scientific discovery, representing a shift in scientific practices enabled by information and communication technology. Despite a historical separation and discussions on data ingestion, exchange, and interoperability, there has been a convergence and even merging of CRIS and IR. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS(euroCRIS, 2022-05-13); ; ; Today, researchers should be able to integrate ever-increasing amounts of data into their institutional database, such as Current Research Information Systems (CRIS), regardless of the source, format or size of research information. An effective mechanism should then be employed to ensure faster value creation from data of these organizations, respecting this increasing variety of data, i.e. heterogeneous data. The processing of electronic data plays a central role in modern society. Data in general is an elementary component of operational processes in companies and scientific organizations. They also form the basis for decisions. Poor quality research information may have a negative effect on results and decisions. The quality of research information or trustworthy and reliability of data are crucial. This includes the topic of data lake and data wrangling. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Role of Universities in the Implementation of Persistent Identifiers (PIDs)(EUNIS, 2023-06-15); ; ; The report “Building the plane as we fly it: the promise of persistent identifiers” was published last February by the Knowledge Exchange. The report explores the challenges, opportunities, risks and trust-related issues associated with the quickly-developing PID landscape with an emphasis on the six KE member countries (Denmark, Finland, France, Germany, Netherlands and the United Kingdom). A series of seven complementary case studies were published alongside this report examining more in depth the current PID landscape for specific entities such as authors, organisations, instruments and facilities, grants and projects or physical samples. The report summarises the findings of a series of interviews with PID experts that provided the basis for the study. Sets of recommendations are also provided for a range of relevant stakeholders in the PID implementation domain. The current fragmentation of the PID landscape is one of the main challenges highlighted in the report and the case studies. This contribution provides a summary of the findings of this study and analyses this fragmented PID landscape in some detail, specifically exploring the meaning of “community” in expressions like “a community-driven PID landscape”. The role universities are expected to play in the gradual, unstoppable adoption of a wide range of PIDs is laid out, together with some early best practices in the domain. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Common Research Information Management from a European University Alliance Perspective(euroCRIS, 2025-06-05); ; ; As befits an initiative supported by the European Commission DG for Education, Youth, Sport and Culture, European University Alliances are expected to deliver a leap forward in the way transnational education is implemented at a European level. The opportunities these cross-institutional collaboration networks offer in the domain of research are however as relevant as those available in the area of teaching and learning. Aware that little has been presented in this domain at previous EUNIS annual congresses, the coauthors set out to explore what European university alliances might achieve (and are already achieving) in the realm of research through an effective collaboration across its member institutions. This exploration aims to identify some best practices against the framework provided by euroCRIS's regular community management work in the area of research information. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Some reflections on the current PID landscape – with an emphasis on risks and trust issues(euroCRIS, 2022-05-12); ; ; The Knowledge Exchange (KE) is a European partnership formed by six key national organisations tasked with developing infrastructure and services to enable the use of digital technologies to improve higher education and research. These six organisations are CSC in Finland, CNRS in France, DeiC in Denmark, DFG in Germany, Jisc in the UK and SURF in the Netherlands. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ethical aspects using AI in CRIS(euroCRIS, 2024-05-16); ; ; As the research field of artificial intelligence (AI) becomes more widespread as a branch of computer science, this technology is becoming increasingly popular in public life and in our daily lives. In addition to the opportunities offered by the use of this discipline and related technologies, it is also necessary to take into account the associated ethical problems, which are not necessarily apparent at first glance and risk being forgotten behind the fascination of the possibilities that AI offers become. According to a recent study, most institutions running a current research information system (CRIS) consider AI to be a central aspect of their database development. Two thirds of all respondents stated that AI and machine learning are important components of their CRIS, data platform and analytics initiatives. Forms of AI can be found in numerous areas of work. These include, among others, cataloguing, text and image recognition, chatbots, robotics, information retrieval, etc. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Research Information Systems and Ethics relating to Open Science(euroCRIS, 2022-05-13); ; The evaluation of research performance is one major challenge of research management. Research information management systems are designed to assess this performance and to contribute to the steady improvement of research. These systems, also called current research information systems (CRIS), have been described as software for “the aggregation, curation, and utilization of metadata about research activities” in order to produce useful and reliable knowledge about research and to support research institutions in the provision of funding information and reporting. CRIS systems aggregate and process information about projects, results, organizations, persons, infrastructures, equipment, facilities, etc., and they produce indicators and assessment for research management.