Persistent Identifiers (PIDs) are elementary ingredients in nowadays and future research data management processes. Looking at various data life cycles, identifiers help to achieve certain goals in a very efficient way, supporting steps to find, relate, integrate and publish data. Various identifier systems have been developed for this purpose, which are provided by various providers. This created the challenge of the complex and different methods of using the identifiers. Depending on the system, an identifier can, for example, point to a landing page or directly to a digital object. The PID Metaresolver unifies the use of PIDs from different providers and thus supports and simplifies the use of the referenced object. It is a service for resolving PIDs from various providers, validating the PID provider for a given PID and integrating additional providers. With the PID Metaresolver, workflows and analyses of research data can be extended to a larger list of providers. We present the design and implementation of the PID Metaresolver service and give an insight into the many possible uses.
Using a national Current Research Information System (CRIS) we study the adoption of Open Researcher and Contributor Identifiers (ORCID iDs) in the Czech Republic and its timeline since the ORCID registry launched. We observe a rising adoption of ORCID iDs throughout the country, attaining almost 60% of researchers in 2024. This is supported by positive trends in most institutions, which we also document. We also find that one researcher registering multiple ORCID iDs is not a frequent phenomenon. We complement the overall picture by a closer analysis of the necessary steps for an ORCID iD to get reported in the national CRIS in the case of the Czech Technical University in Prague.
The objective of the SynSICRIS project, was to enhance and assess the contribution of research to societal impact and to facilitate synergies with project planning, management, and documentation obligations within the field of research funding. The project developed a monitoring tool and a set of criteria for advancing, recording and evaluating the societal impact potential of research. SynSICRIS stands for Synergies for Societal Impact in Current Research Information Systems. The SynSICRIS tool facilitates project planning through the utilisation of an impact pathway and a working plan bar chart. This is combined with the continuous monitoring of contributions to societal impact. As the tool is designed to replace parts of proposals and reports, unchangeable versions of the project can be created at any stage of the project, made available for the funder and can be compared. Furthermore, all project information can be printed in a PDF report. The monitoring data can be filtered as required for various purposes and is automatically processed in graphics. As part of an R&D project, the tool was developed and tested in a participatory process with researchers, major German funding agencies and experts from various fields of societal impact enhancement and assessment. This paper provides insight into the data model, functions and testing results.
Knowledge graphs (KGs) are gaining prominence for their efficacy in data integration and knowledge representation within Current Research Information Systems (CRIS) Systems. By employing a semantic data model to represent entities, attributes, and their relationships, they prove versatile across scientific applications. In the era of Science platformization, particularly within CRIS systems, KGs serve to amalgamate diverse data sources and formats, facilitating the creation of interconnected data models. This enables stakeholders to access comprehensive, consistent information pertinent to their endeavors. This paper examines the pivotal roles of KGs in current and future data integration within CRIS systems, emphasizing their contributions to scientific reasoning. While their benefits include flexible knowledge modeling, support for semantic queries, and interoperability with various data sources, they face systemic limitations, particularly in methodological and technological aspects, hindering classical scientific investigations. The paper underscores the necessity for novel approaches to address these limitations, offering insights, use cases, and best practices for implementing KGs in CRIS systems. This paves the way for research institutions and scientific organizations to enhance their data analytics capabilities and support scientific reasoning effectively.
CroRIS brings together information on scientific activities across Croatia into one central system. This not only makes research data more visible and accessible but also ensures it can be easily shared with others, meeting international standards for data exchange. Looking ahead, CroRIS is set to expand its features, improving how it works with digital repositories and managing research data. These updates aim to make the research process more connected, easier to navigate, and more efficient, highlighting Croatia's dedication to open science. This commitment helps foster global collaboration and makes scientific research more open and accessible to all.
