On the public citation graph
Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review
0 signed · 89 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/103.1437-1588openalex-snapshot
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz
inferredcites →https://doi.org/10.1007/978-3-319-42913-7_104-1openalex-snapshot
Big Data-Driven Materials Science and Its FAIR Data Infrastructure
inferredcites →https://doi.org/10.1007/978-3-319-50257-1openalex-snapshot
Handbook of Materials Modeling
inferredcites →https://doi.org/10.1007/978-3-319-65633-5_3openalex-snapshot
The Open Science Commons for the European Research Area
inferredcites →https://doi.org/10.1007/s00103-018-2755-6openalex-snapshot
ICD-11 – Anpassung der ICD an das 21. Jahrhundert
inferredcites →https://doi.org/10.1007/s10278-018-0087-6openalex-snapshot
Patient-Centered Radiology with FHIR: an Introduction to the Use of FHIR to Offer Radiology a Clinically Integrated Platform
inferredcites →https://doi.org/10.1016/j.drudis.2019.01.008openalex-snapshot
Implementation and relevance of FAIR data principles in biopharmaceutical R&D
inferredcites →https://doi.org/10.1038/s41431-018-0160-0openalex-snapshot
The FAIR guiding principles for data stewardship: fair enough?
inferredcites →https://doi.org/10.1038/s41431-019-0386-5openalex-snapshot
The GDPR and the research exemption: considerations on the necessary safeguards for research biobanks
inferredcites →https://doi.org/10.1038/s41431-020-0635-7openalex-snapshot
The VODAN IN: support of a FAIR-based infrastructure for COVID-19
inferredcites →https://doi.org/10.1038/sdata.2016.18openalex-snapshot
The FAIR Guiding Principles for scientific data management and stewardship
inferredcites →https://doi.org/10.1055/s-0039-1677917openalex-snapshot
The French Health Data Hub and the German Medical Informatics Initiatives: Two National Projects to Promote Data Sharing in Healthcare
inferredcites →https://doi.org/10.1080/1364557032000119616openalex-snapshot
Scoping studies: towards a methodological framework
inferredcites →https://doi.org/10.1089/bio.2017.0110openalex-snapshot
Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health
inferredcites →https://doi.org/10.1093/bib/bbz044openalex-snapshot
Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives
inferredcites →https://doi.org/10.1093/biosci/biv095openalex-snapshot
FORCE11: Building the Future for Research Communications and e-Scholarship
inferredcites →https://doi.org/10.1093/eurpub/ckz160openalex-snapshot
The second information revolution: digitalization brings opportunities and concerns for public health
inferredcites →https://doi.org/10.1109/aseezone1.2014.6820689openalex-snapshot
Seven V's of Big Data understanding Big Data to extract value
inferredcites →https://doi.org/10.1162/dint_a_00032openalex-snapshot
Distributed Analytics on Sensitive Medical Data: The Personal Health Train
inferredcites →https://doi.org/10.1162/dint_a_00039openalex-snapshot
The FAIR Funding Model: Providing a Framework for Research Funders to Drive the Transition toward FAIR Data Management and Stewardship Practices
inferredcites →https://doi.org/10.1162/dint_r_00024openalex-snapshot
FAIR Principles: Interpretations and Implementation Considerations
inferredcites →https://doi.org/10.1186/s13643-016-0384-4openalex-snapshot
Rayyan—a web and mobile app for systematic reviews
inferredcites →https://doi.org/10.1186/s40537-019-0217-0openalex-snapshot
Big data in healthcare: management, analysis and future prospects
inferredcites →https://doi.org/10.1371/journal.pcbi.1004525openalex-snapshot
Ten Simple Rules for Creating a Good Data Management Plan
inferredcites →https://doi.org/10.1371/journal.pone.0118053openalex-snapshot
What Drives Academic Data Sharing?
inferredcites →https://doi.org/10.2196/11519openalex-snapshot
Rethinking Data Sharing at the Dawn of a Health Data Economy: A Viewpoint
inferredcites →https://doi.org/10.3233/978-1-61499-852-5-91openalex-snapshot
openEHR Based Systems and the General Data Protection Regulation (GDPR)
inferredcites →https://doi.org/10.3233/isu-170824openalex-snapshot
Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud
inferredcites →https://doi.org/10.3389/fchem.2018.00049openalex-snapshot
Ensuring Food Integrity by Metrology and FAIR Data Principles
inferredcites →https://doi.org/10.3389/fvets.2017.00194openalex-snapshot
The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges
inferredcites →https://doi.org/10.3414/me14-01-0030openalex-snapshot
Health Level Seven Interoperability Strategy: Big Data, Incrementally Structured
inferredcites →https://doi.org/10.3414/me18-03-0003openalex-snapshot
German Medical Informatics Initiative
inferredcites →https://doi.org/10.5593/sgemsocial2019v/1.1/s02.022openalex-snapshot
RIGHT TO BE FORGOTTEN IN LIGHT OF REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL OF 27 APRIL 2016 ON THE PROTECTION OF NATURAL PERSONS WITH REGARD TO THE PROCESSING OF PERSONAL DATA AND ON THE FREE MOVEMENT OF SUCH DATA, AND REPEALING DIRECTIVE 95/46/EC
inferredcites →https://doi.org/10.7189/jogh.09.010310openalex-snapshot
FAIR data needed to liberate hepatitis B virus (HBV) from the catch-22 of neglect
inferredcites →https://doi.org/10.7326/m18-0850openalex-snapshot
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ird.70233openalex-snapshot
Transforming Agricultural Water Management for Healthy People and Planet: Thinking Beyond Water
inferred← citeshttps://doi.org/10.1002/jhm.13148openalex-snapshot
Designing health outcomes through patient data ownership
inferred← citeshttps://doi.org/10.1007/978-981-97-3962-2_21openalex-snapshot
Ethical Issues in Biomedical Text Mining
inferred← citeshttps://doi.org/10.1007/s00449-026-03380-0openalex-snapshot
Managing complexity in research data management for heterogeneous biotechnological data: a perspective on interacting as data steward
inferred← citeshttps://doi.org/10.1007/s11019-022-10069-0openalex-snapshot
Making Biomedical Sciences publications more accessible for machines
inferred← citeshttps://doi.org/10.1007/s12550-025-00602-4openalex-snapshot
The use of artificial intelligence to improve mycotoxin management: a review
inferred← citeshttps://doi.org/10.1016/b978-0-443-45056-3.00007-8openalex-snapshot
Mesenchymal stem cells and extracellular vesicles in neurodegenerative diseases
inferred← citeshttps://doi.org/10.1016/j.datak.2024.102348openalex-snapshot
A conceptual framework for the government big data ecosystem (‘datagov.eco’)
inferred← citeshttps://doi.org/10.1016/j.ejps.2025.107079openalex-snapshot
Optimising electronic documentation of medication in Hungary: Itemised, complete, historical, and standardised event recording
inferred← citeshttps://doi.org/10.1016/j.enbuild.2021.111786openalex-snapshot
Information sharing preferences within buildings: Benefits of cognitive interviewing for enhancing a discrete choice experiment
inferred← citeshttps://doi.org/10.1016/j.impact.2025.100583openalex-snapshot
The fruits of data shepherding: A collection of open FAIR datasets for titanium dioxide coated photocatalytic surfaces
inferred← citeshttps://doi.org/10.1016/j.imu.2024.101566openalex-snapshot
Integration technologies in laboratory information systems: A systematic review
inferred← citeshttps://doi.org/10.1016/j.jbi.2023.104369openalex-snapshot
Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.jjimei.2023.100159openalex-snapshot
Monetisation of digital health data through a GDPR-compliant and blockchain enabled digital health data marketplace: A proposal to enhance patient's engagement with health data repositories
inferred← citeshttps://doi.org/10.1016/j.onehlt.2024.100704openalex-snapshot
Implementation of One Health surveillance systems: Opportunities and challenges - lessons learned from the OH-EpiCap application
inferred← citeshttps://doi.org/10.1016/j.procs.2025.07.088openalex-snapshot
Semantic Mediation: a literature review on semantic interoperability through ontologies
inferred← citeshttps://doi.org/10.1021/acs.jafc.5c08522openalex-snapshot
Recent Advances in Integrating Machine Learning with Omics Approaches in Food Science and Nutrition Research
inferred← citeshttps://doi.org/10.1038/s41387-022-00226-yopenalex-snapshot
Machine learning modeling practices to support the principles of AI and ethics in nutrition research
inferred← citeshttps://doi.org/10.1039/d3cc04705aopenalex-snapshot
Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics
inferred← citeshttps://doi.org/10.1093/bib/bbac212openalex-snapshot
Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology
inferred← citeshttps://doi.org/10.1093/gigascience/giad099openalex-snapshot
FAIR data retrieval for sensitive clinical research data in Galaxy
inferred← citeshttps://doi.org/10.1093/gigascience/giag073openalex-snapshot
ChatMDV: reducing technical barriers in bioinformatics analysis using large language models
inferred← citeshttps://doi.org/10.1093/jac/dkab451openalex-snapshot
Increase in antimicrobial resistance in Escherichia coli in food animals between 1980 and 2018 assessed using genomes from public databases
inferred← citeshttps://doi.org/10.1108/vjikms-12-2024-0430openalex-snapshot
Evolving landscape of research data management in academic libraries: literature review and emerging trends
inferred← citeshttps://doi.org/10.1109/embc53108.2024.10782443openalex-snapshot
Towards the development of a FAIR-compliant biomedical ontology for colorectal cancer
inferred← citeshttps://doi.org/10.1109/escience55777.2022.00089openalex-snapshot
Failure Sources in Machine Learning for Medicine—A Study
inferred← citeshttps://doi.org/10.1109/transai54797.2022.00008openalex-snapshot
Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis
inferred← citeshttps://doi.org/10.1117/12.2649334openalex-snapshot
Sequential modeling for cystoscopic image classification
inferred← citeshttps://doi.org/10.1161/circgen.124.004624openalex-snapshot
Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine
inferred← citeshttps://doi.org/10.1162/dint_a_00184openalex-snapshot
The Impact of COVID-19 and FAIR Data Innovation on Distance Education in Africa
inferred← citeshttps://doi.org/10.1162/dint_a_00255openalex-snapshot
FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?
inferred← citeshttps://doi.org/10.1177/20539517251349157openalex-snapshot
FAIR for whom? A reality check on the state of FAIR research data management in a collaborative research project
inferred← citeshttps://doi.org/10.1186/s12992-024-01067-3openalex-snapshot
Discursive framework for a multi-disease digital health passport in Africa: a perspective
inferred← citeshttps://doi.org/10.1186/s13690-022-00898-zopenalex-snapshot
Evidence based policy making during times of uncertainty through the lens of future policy makers: four recommendations to harmonise and guide health policy making in the future
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2408394/v1openalex-snapshot
Capturing provenance information for biomedical data and workflows: A scoping review
inferred← citeshttps://doi.org/10.2196/35307openalex-snapshot
Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study
inferred← citeshttps://doi.org/10.2196/45013openalex-snapshot
Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review
inferred← citeshttps://doi.org/10.2196/45948openalex-snapshot
Ten Topics to Get Started in Medical Informatics Research
inferred← citeshttps://doi.org/10.2196/48330openalex-snapshot
Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study
inferred← citeshttps://doi.org/10.2196/51297openalex-snapshot
Provenance Information for Biomedical Data and Workflows: Scoping Review
inferred← citeshttps://doi.org/10.3233/fc-230504openalex-snapshot
FHIR4FAIR: Leveraging FHIR in health data FAIRfication process: In the case of VODAN-A
inferred← citeshttps://doi.org/10.3233/shti210816openalex-snapshot
Beyond the FAIRness of COVID-19 Data: What about Quality?
inferred← citeshttps://doi.org/10.3389/fmed.2024.1481891openalex-snapshot
Biobanks and data interoperability in Latin America: engendering high-quality evidence for the global research ecosystem
inferred← citeshttps://doi.org/10.3390/biomedicines12030606openalex-snapshot
Artificial Intelligence Reporting Guidelines’ Adherence in Nephrology for Improved Research and Clinical Outcomes
inferred← citeshttps://doi.org/10.3390/publications10030031openalex-snapshot
“Who Is the FAIRest of Them All?” Authors, Entities, and Journals Regarding FAIR Data Principles
inferred← citeshttps://doi.org/10.4258/hir.2026.32.1.50openalex-snapshot
Educational Needs and Level of Knowledge in Standard Healthcare Terminology Use in Korea: A Cross-Sectional Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2110.03275openalex-snapshot
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems
inferred← citeshttps://doi.org/10.51987/rev.hosp.ital.b.aires.v45i1.379openalex-snapshot
Study-A-Thon: Maratones Académicas para Acelerar la Investigación y la Colaboración Multicéntrica
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.