SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
‘Small Data’ for big insights in ecology
8 references·0 citing·44 second hop
‘Small Data’ for big insights in ecology (2023)‘Small Data’ for big insights in ecologyBayesian Networks in Environmental Risk Assessment: A Review (2020)Bayesian Networks in Environm…Research challenges of big data (2019)Research challenges of big da…Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions (2018)Situating Ecology as a Big-Da…A fresh approach to evidence synthesis (2018)A fresh approach to evidence …Small data in the era of big data (2014)Small data in the era of big …Relation of completeness of reporting of health research to journals' endorsement of reporting guidelines: systematic review (2014)Relation of completeness of r…Does use of the CONSORT Statement impact the completeness of reporting of randomised controlled trials published in medical journals? A Cochrane reviewa (2012)Does use of the CONSORT State…Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review (2006)Does the CONSORT checklist im…Empirical Evidence of Bias (1995)Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)Epidemiology and Reporting Characteristics of Systematic Reviews (2007)Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals (2012)COSMIN reporting guideline for studies on measurement properties of patient-reported outcome measures (2021)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)CONSORT extension for reporting N-of-1 trials (CENT) 2015 Statement (2015)A history of the evolution of guidelines for reporting medical research: the long road to the EQUATOR Network (2016)CONSORT-Equity 2017 extension and elaboration for better reporting of health equity in randomised trials (2017)The Taming of Chance (1990)Big data: The next frontier for innovation, competition, and productivity (2011)CRITICAL QUESTIONS FOR BIG DATA (2012)Geographies of Mobility (2016)Towards a geography of informal transport: Mobility, infrastructure and urban sustainability from the back of a motorbike (2018)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)Cochrane Handbook for Systematic Reviews of Interventions (2008)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement (2013)Consolidated Health Economic Evaluation Reporting Standards (CHEERS)—Explanation and Elaboration: A Report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force (2013)A taxonomy of behaviour change methods: an Intervention Mapping approach (2015)Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)A methodology for systematic mapping in environmental sciences (2016)Future of evidence ecosystem series: 3. From an evidence synthesis ecosystem to an evidence ecosystem (2020)Dynamic meta-analysis: a method of using global evidence for local decision making (2021)Leveraging AI to improve evidence synthesis in conservation (2024)Big Data: A Survey (2014)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)MoveApps: a serverless no-code analysis platform for animal tracking data (2022)Priorities for synthesis research in ecology and environmental science (2023)Big data applications: overview, challenges and future (2024)Significance and Challenges of Big Data Research (2015)Big data and innovative organizational performance: Evidence from a moderated‐mediated model (2022)Digital Transformation in Water Organizations (2022)Optimisation of Knowledge Management (KM) with Machine Learning (ML) Enabled (2023)Dilemmas in a general theory of planning (1973)Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality (2004)Uncertain Judgements: Eliciting Experts' Probabilities (2006)“This Is What We Don't Know”: Treating Epistemic Uncertainty in Bayesian Networks for Risk Assessment (2020)The Origin, Development, Application, Lessons Learned, and Future Regarding the Bayesian Network Relative Risk Model for Ecological Risk Assessment (2020)Application of bayesian network in the maritime industry: Comprehensive literature review (2024)
this work references cited by second hop

References

  • 2006Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review873 cited
  • 2012Does use of the CONSORT Statement impact the completeness of reporting of randomised controlled trials published in medical journals? A Cochrane reviewa628 cited
  • 2018Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions331 cited
  • 2020Bayesian Networks in Environmental Risk Assessment: A Review268 cited
  • 2014Relation of completeness of reporting of health research to journals' endorsement of reporting guidelines: systematic review241 cited
  • 2014Small data in the era of big data238 cited
  • 2018A fresh approach to evidence synthesis94 cited
  • 2019Research challenges of big data80 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work