The Important Role of CRIS's for Registering and Archiving Research Data. The RDS-project at Radboud University (the Netherlands) in Cooperation with Data-archive DANS

Simons, Ed; Jetten, Mijke; Messelink, Maaike; Berchum, Marnix van; Schoonbrood, Hans; Wittenberg, Marion

doi:10.1016/j.procs.2017.03.031

Cited by 6 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interoperability and standards such as the CERIF data model [8], OpenAIRE compatibility [9][10][11][12], and the relationship between CRIS platforms and institutional repositories [13] have been major topics of interest in CRIS literature. Since 2017, research measurement and research data management [14,15] have also gained more attention in the context of CRIS platforms. More recently, there has been a growing trend of establishing national CRIS platforms and research portals, which have emerged from various countries, including the Netherlands [16], Norway [17], Denmark [18], Finland [3], India [19], Portugal [20] Ukraine [21], Brazil [22], Croatia [23], Czech Republic [24], and Türkiye [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Migrating 120,000 Legacy Publications from Several Systems into a Current Research Information System Using Advanced Data Wrangling Techniques

Lappalainen,

Lassila,

Heikkilä

et al. 2023

Publications

View full text Add to dashboard Cite

This article describes a complex CRIS (current research information system) implementation project involving the migration of around 120,000 legacy publication records from three different systems. The project, undertaken by Tampere University, encountered several challenges in data diversity, data quality, and resource allocation. To handle the extensive and heterogenous dataset, innovative approaches such as machine learning techniques and various data wrangling tools were used to process data, correct errors, and merge information from different sources. Despite significant delays and unforeseen obstacles, the project was ultimately successful in achieving its goals. The project served as a valuable learning experience, highlighting the importance of data quality and standardized practices, and the need for dedicated resources in handling complex data migration projects in research organizations. This study stands out for its comprehensive documentation of the data wrangling and migration process, which has been less explored in the context of CRIS literature.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Migrating 120,000 Legacy Publications from Several Systems into a Current Research Information System Using Advanced Data Wrangling Techniques

Lappalainen,

Lassila,

Heikkilä

et al. 2023

Publications

View full text Add to dashboard Cite

show abstract

“…Previous studies of CRIS have focussed on their research data related functionalities, such as the inclusion of data management plans, research data and metadata in the systems (Jetten et al, 2019; Schöpfel et al, 2017; Simons et al, 2017; see also Schöpfel et al, 2020). The potential role of CRIS systems as a data source for science of science research has also been acknowledged (Sivertsen, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Previous studies of CRIS have focussed on their research-data related functionalities, such as the inclusion of data management plans, research data and research data metadata (Jetten et al, 2019; Schöpfel et al, 2017; Simons et al, 2017; see also Schöpfel et al, 2020). However, so far, the full potential of CRIS in acquiring insight into researchers’ data sharing has not been realised.…”

Section: Introductionmentioning

confidence: 99%

Using current research information systems to investigate data acquisition and data sharing practices of computer scientists

Rousi

2022

Journal of Librarianship and Information Science

View full text Add to dashboard Cite

Without sufficient information about research data practices occurring in a particular research organisation, there is a risk of mismatching research data service efforts with the needs of its researchers. This study describes how data acquiring and data sharing occurring within a particular research organisation can be investigated by using current research information system publication data. The case study organisation’s current research information system was used to identify the sample of investigated articles. A sample of 193 journal articles published by researchers in the computer science department of the case study’s university during 2019 were extracted for scrutiny from the current research information system. For these 193 articles, a classification of the main study types was developed to accommodate the multidisciplinary nature of the case department’s research agenda. Furthermore, a coding framework was developed to capture the key elements of data acquiring and data sharing. The articles representing life sciences and computational research relatively frequently reused open data, whereas data acquisition of experimental research, human interaction studies and human intervention studies often relied on collecting original data. Data sharing also differed between the computationally intensive study types of life sciences and computational research and the study types relying on collection of original data. Research data were not available for reuse in only a minority of life science ( n = 2; 7%) and computational research ( n = 15; 14%) studies. The study types of experimental research, human interaction studies and human intervention studies less frequently made their data available for reuse. The findings suggest that research organisations representing computer sciences may include different subfields that have their own cultures of data sharing. This study demonstrates that analyses of publications listed in current research information systems provide detailed descriptions how the affiliated researchers acquire and share research data.

show abstract

“…In 2012, the number of studies, five in total, is equivalent to all the production from 2007 to 2011; however, for 2013 it decreases again, increasing progressively between 2014 and 2016, being the latter the year with the highest production. From these studies, it was observed that CRIS are considered tools to enhance the management of information related to the research and dissemination of science, as well as to provide immediate availability to such information and promote communication and interoperability with others systems [1], [2]. They are also considered a viable option to carry out the management of research information as an instrument for decision-making, for access to scientific production and its dissemination, for the management of the research process itself, for the performance evaluation of the institutions in this area, and for the evaluation of the impact outside of the sectors or contexts it originates from.…”

Section: B Number Of Publications (Rq1)mentioning

confidence: 99%

“…They are information systems developed internally by an organization or acquired through an external provider, which aim to collect, analyze, inform, provide access and disseminate information related to Research and Development [1]. Furthermore, they allow to record and store the data sets resulting from the research [2], so they can be reused and accessed for monitoring and control purposes. Optimal storage, preservation, and exchange of this data are considered a keystone for the realization of Open Science and to address the need for immediate availability of metadata under the "FAIR" scheme: Findable, Accessible, Interoperable and Reusable [3].…”

Section: Introductionmentioning

confidence: 99%

Research Management Systems: Systematic Mapping of Literature (2007-2017)

Velásquez-Durán

Ramírez-Montoya

2018

International Journal on Advanced Science, Engineering and Information Technology

View full text Add to dashboard Cite

Research management in relation to Research and Development (R&D) has found a comprehensive and powerful tool in the Current Research Information System (CRIS). Publications on the subject are still emerging, so knowing what research has been done and its contributions presents an opportunity to build theoretical and reference frameworks, and to identify gaps and potential opportunities for future developments in information technology. Various articles covering these systems were analyzed with the objective of identifying the research areas, countries and institutions in which they were published, as well as their research approaches, contributions and topics covered. A systematic mapping of literature was carried out, which included 33 articles published on Web of Science (WoS) and Scopus, from 2007 to 2017. To ensure valid results, the evaluation guide for researchers was used during for the design and review phases of the systematic mapping studies, as well as the corresponding evaluation rubric; in addition, a strategy to define direct decision rules on how to classify an article based on the results of evaluations of multiple researchers was adopted. The findings show that the main research areas are Information Science & Library Science and Computer Science; the largest concentration of publications is found in Europe; research focuses on Evaluation Research; contributions are oriented to create processes and models, and to describe the applications and uses of CRIS. It is concluded that there are areas of opportunity for the development of research in this area, such as the expansion of the research areas in which it is used, the possibilities of collaboration, sharing and exchange at a global level, and the coverage towards integration issues with open access.

show abstract

The Important Role of CRIS's for Registering and Archiving Research Data. The RDS-project at Radboud University (the Netherlands) in Cooperation with Data-archive DANS

Cited by 6 publications

References 1 publication

Migrating 120,000 Legacy Publications from Several Systems into a Current Research Information System Using Advanced Data Wrangling Techniques

Migrating 120,000 Legacy Publications from Several Systems into a Current Research Information System Using Advanced Data Wrangling Techniques

Using current research information systems to investigate data acquisition and data sharing practices of computer scientists

Research Management Systems: Systematic Mapping of Literature (2007-2017)

Contact Info

Product

Resources

About