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Making the most of bioimaging data through interdisciplinary interactions
4 references·0 citing·15 second hop
Making the most of bioimaging data through interdisciplinary interactions (2024)Making the most of bioimaging data throug…Recognising the importance and impact of Imaging Scientists: Global guidelines for establishing career paths within core facilities (2024)Recognising the importance an…Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration (2022)Meeting in the Middle: Toward…A Novel Paradigm for Expert Core Facility Staff Training (2020)A Novel Paradigm for Expert C…A “datathon” model to support cross-disciplinary collaboration (2016)A “datathon” model to support…Best Practices for Scientific Computing (2014)How to Make More Published Research True (2014)Increasing value and reducing waste in research design, conduct, and analysis (2014)Bridging the Health Data Divide (2016)Methods for enhancing the reproducibility of biomedical research findings using electronic health records (2017)Competing interests: digital health and indigenous data sovereignty (2024)Ten Simple Rules for Reproducible Computational Research (2013)What makes interdisciplinarity difficult? Some consequences of domain specificity in interdisciplinary practice (2016)How can we ensure visibility and diversity in research contributions? How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship (2019)Metrics for Success: Strategies for Enabling Core Facility Performance and Assessing Outcomes (2016)Building a Sustainable Portfolio of Core Facilities: a Case Study (2018)Academic criteria for promotion and tenure in biomedical sciences faculties: cross sectional analysis of international sample of universities (2020)An international survey of Training Needs and Career Paths of Core Facility Staff (2021)How tech‐savvy employees make the difference in core facilities (2022)Staying on track – Keeping things running in a high‐end scientific imaging core facility (2024)
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References

  • 2016A “datathon” model to support cross-disciplinary collaboration82 cited
  • 2024Recognising the importance and impact of Imaging Scientists: Global guidelines for establishing career paths within core facilities26 cited
  • 2020A Novel Paradigm for Expert Core Facility Staff Training20 cited
  • 2022Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration10 cited

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