Schöpfel, Joachim
Preferred name
Schöpfel, Joachim
19 results
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Item type:Publication, What Does DORA Mean for CRIS?(euroCRIS, 2022-12-02); The presentation examines ongoing initiatives for reforming research assessment such as the San Francisco Declaration on Research Assessment (DORA) or the recently launched Coalition for Advancing Research Assessment (CoARA) and their implications for research information management and the role of CRIS systems. A possible role for euroCRIS in supporting in this process is also explored. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Risks and Trust in pursuit of a well-functioning PID infrastructure for research(euroCRIS, 2021-12-08); ; ; Persistent Identifiers (PIDs) and their infrastructures are considered to be of vital importance for accountability, reproducibility and credibility of today’s research. PIDs foster transparency in methods and scientific output, identification and referencing of scientific outputs, and thus contribute to Open Science and Open Scholarship. PIDs are essential for a wide range of requirements in science and science communication: Research funders, universities or other research institutions strive for a higher visibility, reproducibility, accountability and attribution of results to their funding efforts or organization. On the individual level, researchers (and also publishers) are eager to document their success measured in quantitative output of research products as well as the resonance they gain inside and outside academia. - Some of the metrics are blocked by yourconsent settings
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, Smarter Research: Integrating AI into CRIS Systems(euroCRIS, 2025-04-24); The presentation summarises the value of using artificial intelligence in combination with the research information kept in CRIS systems. Four use cases are suggested for this use of AI on CRIS: automated literature tagging, topic clustering/trend analysis, grant prediction engine and AI-driven researcher profiling. Emphasis is made on the use of the appropriate methodologies and protocols to ensure a FAIR, ethical and explainable use of AI for research information management purposes. A series of next steps is suggested on how to most effectively progress in this domain. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Current Research Information Systems in France: Fragmentation, Interoperability, and Emerging Paths toward Coordination(euroCRIS, 2026-05-21)This paper examines the landscape of current research information systems (CRIS) in France, situating it at the intersection of research governance, digital infrastructures, and science policy. CRIS play a central role in managing, documenting, evaluating, and valorizing scientific activity. They support a wide range of functions, including project monitoring, reporting, strategic decision-making, evaluation, and public dissemination of research outputs. Despite their growing importance, CRIS remain relatively understudied in the French context, both in academic literature and in national policy analyses. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Outils et circulation des données en Europe: État des lieux par le consortium euroCRIS(euroCRIS, 2025-05-22); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness(Science and Technology Publications, Lda (SciTePress), 2022-10-26); ; ; Digitization in the research domain refers to the increasing integration and analysis of research information in the process of research data management. However, it is not clear whether it is used and, more importantly, whether the data are of sufficient quality, and value and knowledge could be extracted from them. FAIR principles (Findability, Accessibility, Interoperability, Reusability) represent a promising asset to achieve this. Since their publication, they have rapidly proliferated and have become part of (inter-)national research funding programs. A special feature of the FAIR principles is the emphasis on the legibility, readability, and understandability of data. At the same time, they pose a prerequisite for data for their reliability, trustworthiness, and quality. In this sense, the importance of applying FAIR principles to research information and respective systems such as Current Research Information Systems (CRIS), which is an underrepresented subject for research, is the subject of the paper. Supporting the call for the need for a ”one-stop-shop and register-once-use-many approach”, we argue that CRIS is a key component of the research infrastructure landscape, directly targeted and enabled by operational application and the promotion of FAIR principles. We hypothesize that the improvement of FAIRness is a bidirectional process, where CRIS promotes FAIRness of data and infrastructures, and FAIR principles push further improvements to the underlying CRIS. - 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, Ethics and CRIS(euroCRIS, 2021-09-30); The topic of Ethics and CRIS has been raised at previous euroCRIS membership meetings but has never specifically been addressed at any euroCRIS event before. Following the publication of their paper "Research Ethics, Open Science and CRIS" in MDPI Publications in 2020, https://doi.org/10.3390/publications8040051, the presenters have conducted a survey to learn more about the views of research information management practitioners on this topic. The results of the survey are presented here, offering an opportunity to discuss their implications. - 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.