| PATTERN | ADVANCES | |
|---|
| Data management | Description | Sources |
| Data management and FAIR principles | (Hampton et al., 2015; Onyancha, 2016; Ghaffar et al., 2020; Mayer et al., 2021; Arend et al., 2022) |
| Integration and interoperability | (Arend et al., 2022; Gadelha et al., 2022; Felden et al., 2023; Williams et al., 2023) |
| Open science and data sharing | (Hampton et al., 2015; Aubin et al., 2020; Brinkhaus et al., 2023; Felden et al., 2023) |
| Technological innovation and adoption | (Knapp, 2008; Curry et al., 2019; Liggins and Noble, 2021; Blumberg et al., 2022) |
| Collaboration and infrastructure | (Hampton et al., 2015; Aubin et al., 2020; Felden et al., 2023) |
| Sustainability and cost efficiency | (Curry et al., 2019; Ghaffar et al., 2020) |
| Indigenous perspectives and diverse criteria | (Elshall et al., 2022; Liggins et al., 2022) |
| Information processing and biomedicine | Training and professional development | (Attwood et al., 2019; Read et al., 2019; Ashley Thomas and Martin, 2020) |
| Collaboration and knowledge sharing | (Attwood et al., 2019; A Thomas and Martin, 2020) |
| RDM practices | (Schmidt et al., 2022; Zhou, Xu and Kogut, 2023) |
| Data sharing and open science | (Schmidt et al., 2022; Zhou, Xu and Kogut, 2023) |
| User-centered design and engagement | (Read et al., 2019; Ashley Thomas and Martin, 2020) |
| RDM practices | RDM practices and strategies | (Suhr et al., 2020; Feser et al., 2022; Roche et al., 2022; Gehlot et al., 2023; Rehnert and Takors, 2023) |
| FAIR principles and data reusability | (Suhr et al., 2020; Chamanara et al., 2021; Kuhn Cuellar et al., 2022; Praetzellis et al., 2023) |
| Collaboration and interdisciplinary practices | (Atwood et al., 2015; Kouper, Scheidt and Plale, 2021; Rehnert and Takors, 2023) |
| Technological advancements and tools | (Zielinski, Hay and Millar, 2019; Chamanara et al., 2021; Feser et al., 2022; Kuhn Cuellar et al., 2022) |
| Standardisation and interoperability | (Bowers, McPhillips and Ludäscher, 2008; Feser et al., 2022; Kuhn Cuellar et al., 2022) |
| Data sharing and open science | (Murillo, 2022; Roche et al., 2022; Rehnert and Takors, 2023) |
| RDM and supporting system | RDM practices and services | (Persaud et al., 2021; Ismail et al., 2022; Jiang et al., 2023; Weil et al., 2023) |
| Open science and data sharing | (Beck et al., 2020; Brandt et al., 2021; Sherbinin et al., 2021; Katabalwa, Bates and Abbott, 2021) |
| Collaboration and integration | (Persaud et al., 2021; Gossler et al., 2022; Jiang et al., 2023; Weil et al., 2023) |
| Policy development and support services | (Kennan, Corrall and Afzal, 2014; Tripathi, Shukla and Sonkar, 2017; Katabalwa, Bates and Abbott, 2021) |
| Technological innovations and tools | (Berkley et al., 2001; Andreu-Perez et al., 2015; Wachtler et al., 2021; Musen et al., 2022) |
| Data interoperability and reuse | (Berkley et al., 2001; Sherbinin et al., 2021; Weil et al., 2023) |
| Data management | GAPS |
| Description | Sources |
| Challenges in data sharing and fair compliance | (Mayer et al., 2021; Gadelha et al., 2022; Brinkhaus et al., 2023; Williams et al., 2023) |
| Interoperability and integration issues | (Aubin et al., 2020; Ghaffar et al., 2020; Gadelha et al., 2021) |
| Training and resource gaps | (Liggins and Noble, 2021; Arend et al., 2022; Liggins et al., 2022) |
| Standardisation and metadata issues | (Mayer et al., 2021; Arend et al., 2022; Williams et al., 2023) |
| Workflow and system limitations | (Ghaffar et al., 2020; Blumberg et al., 2022) |
| Cultural and knowledge gaps | (Liggins and Noble, 2021, 2021) |
| Data quality and completeness | (Gadelha et al., 2021; Elshall et al., 2022) |
| Information processing and biomedicine | Training and awareness gaps | (Read et al., 2019; Zhou, Xu and Kogut, 2023) |
| Engagement and usability challenges | (Read et al., 2019; A Thomas and Martin, 2020) |
| RDM practices | Challenges in RDM | (Chamanara et al., 2021; Feser et al., 2022; Kuhn Cuellar et al., 2022; Rehnert and Takors, 2023) |
| Adoption and implementation of advanced tools and practices | (Feser et al., 2022; Kuhn Cuellar et al., 2022; Praetzellis et al., 2023) |
| Data sharing and reusability | (Murillo, 2022; Roche et al., 2022; Rehnert and Takors, 2023) |
| Training and curriculum gaps | (Kouper, Scheidt and Plale, 2021; Gehlot et al., 2023) |
| Sustainability and infrastructure limitations | (Chamanara et al., 2021; Feser et al., 2022) |
| RDM and supporting system | Training and capacity building in RDM | (Suhr et al., 2020; Katabalwa et.al., 2021; Ismail et al., 2022) |
| Adoption and implementation of RDM practices | (Katabalwa, Bates and Abbott, 2021; Persaud et al., 2021) |
| Challenges in open science and data sharing | (Beck et al., 2020; Donaldson and Koepke, 2022; Weil et al., 2023) |
| Integration and interoperability issues | (Denker et al., 2021; Persaud et al., 2021; Gossler et al., 2022) |
| Metadata and data quality concerns | (Donaldson and Koepke, 2022; Beckett et al., 2023) |
| User experience and automation | (Beck et al., 2020; Brandt et al., 2021) |
| Data management | EVIDENCE FOR PRACTICE |
| Description | Sources |
| Implementation of FAIR principles and data stewardship | (Arend et al., 2016, 2022; Mayer et al., 2021; Felden et al., 2023) |
| Collaboration and community engagement | (Aubin et al., 2020; Liggins and Noble, 2021; Liggins et al., 2022) |
| Open science and data sharing | (Hampton et al., 2015; Brinkhaus et al., 2023) |
| Practical strategies and tools for data management | (Karasti, Baker and Halkola, 2006; Arend et al., 2014, 2016) |
| Real-world applications and pilot projects | (Curry et al., 2019) |
| Data quality and harmonisation | (Steffen et al., 2012; Felden et al., 2023) |
| Integration of advanced technologies | (Avdis et al., 2018; Gadelha et al., 2021) |
| Information processing and biomedicine | Training and skill development | (Atwood et al., 2015; Attwood et al., 2019) |
| Collaboration and community engagement | (Atwood et al., 2015) |
| Practical applications of big data in healthcare | (Andreu-Perez et al., 2015) |
| Metadata and data repositories | (Schmidt et al., 2022) |
| sustainability and funding models | (Atwood et al., 2015) |
| RDM practices | RDM Strategies and Implementation | (Roche et al., 2022; Gehlot et al., 2023; Rehnert and Takors, 2023) |
| Data sharing policies and practices | (Chamanara et al., 2021; Murillo, 2022; Roche et al., 2022) |
| Tools and infrastructure for RDM | (Bowers, McPhillips and Ludäscher, 2008; Suhr et al., 2020; Feser et al., 2022) |
| Convergence and standardisation of RDM practices | (Jones et al., 2020) |
| Survey findings and insights | (Machina and Wild, 2013; Aydinoglu, Dogan and Taskin, 2017) |
| RDM and supporting system | RDM practices and integration | (Persaud et al., 2021; Jiang et al., 2023) |
| Data quality and standardisation | (Berkley et al., 2001; Boden, Krassovski and Yang, 2013; Sherbinin et al., 2021) |
| Tools and platforms for data management | (Brandt et al., 2021; Gossler et al., 2022; Weil et al., 2023) |
| Data sharing and collaboration | (Katabalwa, Bates and Abbott, 2021; Persaud et al., 2021) |
| Survey findings and insights | (Corrall, Kennan and Afzal, 2013; Kennan, Corrall and Afzal, 2014) |
| Policy development and advocacy | (Pinfield, Cox and Smith, 2014) |
| Data management | RESEARCH RECOMMENDATION |
| Description | Sources |
| Training and capacity building | (Katabalwa, Bates and Abbott, 2021; Arend et al., 2022; Liggins et al., 2022) |
| Implementation of fair principles and open science | (Ghaffar et al., 2020; Mayer et al., 2021; Brinkhaus et al., 2023) |
| Data sharing and collaboration | (Onyancha, 2016; Aubin et al., 2020; Gadelha et al., 2021) |
| Interoperability and integration | (Curry et al., 2019; Ghaffar et al., 2020; Williams et al., 2023) |
| Scalability and infrastructure development | (Gadelha et al., 2021; Felden et al., 2023; Williams et al., 2023) |
| Validation and performance assessment | (Curry et al., 2019; Elshall et al., 2022) |
| Interdisciplinary research and holistic approaches | (Liggins and Noble, 2021) |
| Information processing and biomedicine | Training and education in RDM | (Read et al., 2019; A Thomas and Martin, 2020; Zhou, Xu and Kogut, 2023) |
| Integration of tools and best practices | (Schmidt et al., 2022) |
| RDM practices | Importance of communication and collaboration in data management | (Chamanara et al., 2021; Gehlot et al., 2023; Praetzellis et al., 2023) |
| Development and enhancement of data management tools and infrastructure | (Chamanara et al., 2021; Feser et al., 2022; Praetzellis et al., 2023) |
| Evolution of data management plans (DMPs) and FAIR principles | (Gehlot et al., 2023; Praetzellis et al., 2023) |
| Domain-specific expertise and training | (Kouper, Scheidt and Plale, 2021; Gehlot et al., 2023) |
| Scalability and integration of data management systems | (Suhr et al., 2020; Kuhn Cuellar et al., 2022) |
| Standardisation and best practices | (Roche et al., 2022) |
| Long-term evaluation and impact assessment | (Kouper, Scheidt and Plale, 2021) |
| Challenges in data sharing and resource availability | (Rehnert and Takors, 2023) |
| Exploration of use cases and validation | (Suhr et al., 2020; Kuhn Cuellar et al., 2022) |
| RDM and supporting system | Collaboration and community engagement in data management | (Beck et al., 2020; Denker et al., 2021; Persaud et al., 2021) |
| Development and refinement of data management tools and systems | (Gossler et al., 2022) |
| Data sharing policies and practices | (Katabalwa, Bates and Abbott, 2021; Persaud et al., 2021) |
| Integration and adaptability of data management systems | (Brandt et al., 2021) |
| Data citation and annotation | (Weil et al., 2023) |
| Role of librarians and user feedback in data management | (Donaldson and Koepke, 2022; Ismail et al., 2022) |
| Open science and its impact | (Beck et al., 2020; Persaud et al., 2021) |
| Standardisation and best practices | (Brandt et al., 2021; Musen et al., 2022) |
| Refining techniques and processes | (Beckett et al., 2023) |
