Research Data Management Frameworks: A Systematic Literature Review
Several models and frameworks have been proposed by researchers for the management of research data over the past few years. These models and frameworks may help organizations and researchers evaluate various aspects of implementing research data management systems. Thus, this study aims to identify...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Regional Information Center for Science and Technology (RICeST)
2023-07-01
|
| Series: | International Journal of Information Science and Management |
| Subjects: | |
| Online Access: | https://ijism.ricest.ac.ir/article_705730_3a2203ec0d070fe2f395e02c22b68e9e.pdf |
| _version_ | 1797787910234177536 |
|---|---|
| author | Mohammad Azami Ali Sadatmoosavi Mohammadreza Chashmyazdan |
| author_facet | Mohammad Azami Ali Sadatmoosavi Mohammadreza Chashmyazdan |
| author_sort | Mohammad Azami |
| collection | DOAJ |
| description | Several models and frameworks have been proposed by researchers for the management of research data over the past few years. These models and frameworks may help organizations and researchers evaluate various aspects of implementing research data management systems. Thus, this study aims to identify the principal dimensions and necessary practices of research data management based on a systematic review. A systematic search of PubMed, Web of Science, Scopus, and LISTA databases was conducted by October 2021 to identify relevant studies. Two authors screened all retrieved articles in three stages (title, abstract, and full text). Based on the refined studies, data were extracted to fulfil the objectives and answer the research questions. According to the analysis of articles, research data management can be categorized into four main dimensions: data, researchers, organizations, and technology. Data processing, data protection, data legal issues, and data sharing are the main practices of the data dimension. The researcher's dimension is educating, changing the mindset, and motivating researchers. On the organizational dimension, the essential practices supply human resources, policy-making, interaction, and support. On the technology dimension, the most significant practices include: Establishing software and hardware infrastructures. This study demonstrates that research data management is a systematic process involving various stakeholders and facilities, each cooperating and coordinating various activities. To manage research data, researchers, policymakers, research organizations, and trained staff are among the most important participants, and technical facilities are vital to its success. |
| first_indexed | 2024-03-13T01:29:06Z |
| format | Article |
| id | doaj.art-67b57ced747e47b1b5672eccd791f6c2 |
| institution | Directory Open Access Journal |
| issn | 2008-8302 2008-8310 |
| language | English |
| last_indexed | 2024-03-13T01:29:06Z |
| publishDate | 2023-07-01 |
| publisher | Regional Information Center for Science and Technology (RICeST) |
| record_format | Article |
| series | International Journal of Information Science and Management |
| spelling | doaj.art-67b57ced747e47b1b5672eccd791f6c22023-07-04T09:51:02ZengRegional Information Center for Science and Technology (RICeST)International Journal of Information Science and Management2008-83022008-83102023-07-0121311810.22034/ijism.2023.1977759.0705730Research Data Management Frameworks: A Systematic Literature ReviewMohammad Azami0Ali Sadatmoosavi1Mohammadreza Chashmyazdan2Associate prof., Medical Library and Information Science Department, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.Assistant Prof., Medical Library and Information Science Department, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.Medical Library and Information Science department, Kerman University of Medical Sciences, Kerman, Iran.Several models and frameworks have been proposed by researchers for the management of research data over the past few years. These models and frameworks may help organizations and researchers evaluate various aspects of implementing research data management systems. Thus, this study aims to identify the principal dimensions and necessary practices of research data management based on a systematic review. A systematic search of PubMed, Web of Science, Scopus, and LISTA databases was conducted by October 2021 to identify relevant studies. Two authors screened all retrieved articles in three stages (title, abstract, and full text). Based on the refined studies, data were extracted to fulfil the objectives and answer the research questions. According to the analysis of articles, research data management can be categorized into four main dimensions: data, researchers, organizations, and technology. Data processing, data protection, data legal issues, and data sharing are the main practices of the data dimension. The researcher's dimension is educating, changing the mindset, and motivating researchers. On the organizational dimension, the essential practices supply human resources, policy-making, interaction, and support. On the technology dimension, the most significant practices include: Establishing software and hardware infrastructures. This study demonstrates that research data management is a systematic process involving various stakeholders and facilities, each cooperating and coordinating various activities. To manage research data, researchers, policymakers, research organizations, and trained staff are among the most important participants, and technical facilities are vital to its success.https://ijism.ricest.ac.ir/article_705730_3a2203ec0d070fe2f395e02c22b68e9e.pdfresearch data managementdata sharingdata managementdimension identifyingsystematic literature review |
| spellingShingle | Mohammad Azami Ali Sadatmoosavi Mohammadreza Chashmyazdan Research Data Management Frameworks: A Systematic Literature Review International Journal of Information Science and Management research data management data sharing data management dimension identifying systematic literature review |
| title | Research Data Management Frameworks: A Systematic Literature Review |
| title_full | Research Data Management Frameworks: A Systematic Literature Review |
| title_fullStr | Research Data Management Frameworks: A Systematic Literature Review |
| title_full_unstemmed | Research Data Management Frameworks: A Systematic Literature Review |
| title_short | Research Data Management Frameworks: A Systematic Literature Review |
| title_sort | research data management frameworks a systematic literature review |
| topic | research data management data sharing data management dimension identifying systematic literature review |
| url | https://ijism.ricest.ac.ir/article_705730_3a2203ec0d070fe2f395e02c22b68e9e.pdf |
| work_keys_str_mv | AT mohammadazami researchdatamanagementframeworksasystematicliteraturereview AT alisadatmoosavi researchdatamanagementframeworksasystematicliteraturereview AT mohammadrezachashmyazdan researchdatamanagementframeworksasystematicliteraturereview |