The FAIR guiding principles for data stewardship: fair enough?

The FAIR Guiding Principles for scientific data management and stewardship

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423 · see citing works

A manifesto for reproducible science

Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., & Ioannidis, J. P. A. (2017) · Nature Human Behaviour · doi:10.1038/s41562-016-0021 · Cited by 3,397 · see citing works

Bibliometrics: The Leiden Manifesto for Research Metrics

Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015) · Nature · doi:10.1038/520429a · Cited by 2,828 · see citing works

The Extent and Consequences of P-Hacking in Science

Head, M. L., Holman, L., Lanfear, R., Kahn, A. T., & Jennions, M. D. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002106 · Cited by 1,388 · see citing works

Dynamic consent: a patient interface for twenty-first century research networks

Kaye, J., Whitley, E. A., Lund, D., Morrison, M., Teare, H., & Melham, K. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.71 · Cited by 780 · see citing works

The ethics of big data: current and foreseeable issues in biomedical contexts

Mittelstadt, B. D., & Floridi, L. (2016) · Science and Engineering Ethics · doi:10.1007/s11948-015-9652-2 · Cited by 714 · see citing works

Big Data, Little Data, No Data

Borgman, C. L. (2015) · The MIT Press eBooks · doi:10.7551/mitpress/9963.001.0001 · Cited by 598 · see citing works

Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud

Mons, B., Neylon, C., Velterop, J., Dumontier, M., Santos, L. O. B. D. S., & Wilkinson, M. D. (2017) · Information Services & Use · doi:10.3233/isu-170824 · Cited by 432 · see citing works

The European Genome-phenome Archive of human data consented for biomedical research

Lappalainen, I., Almeida, J. P., Kumanduri, V., Senf, A., Spalding, D., Ur-Rehman, S., Saunders, G. I., Kandasamy, J., Cáccamo, M., Leinonen, R., et al. (2015) · Nature Genetics · doi:10.1038/ng.3312 · Cited by 359 · see citing works

What Drives Academic Data Sharing?

Fecher, B., Friesike, S., & Hebing, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0118053 · Cited by 351 · see citing works

Framework for responsible sharing of genomic and health-related data

Knoppers, B. M. (2014) · The HUGO Journal · doi:10.1186/s11568-014-0003-1 · Cited by 349 · see citing works

Big data, little data, no data: scholarship in the networked world

(2015) · Choice Reviews Online · doi:10.5860/choice.190901 · Cited by 341 · see citing works

Rules for processing genetic data for research purposes in view of the new EU General Data Protection Regulation

Shabani, M., & Borry, P. (2017) · European Journal of Human Genetics · doi:10.1038/s41431-017-0045-7 · Cited by 173 · see citing works

Genome-Wide Association Studies, Field Synopses, and the Development of the Knowledge Base on Genetic Variation and Human Diseases

Khoury, M. J., Bertram, L., Boffetta, P., Butterworth, A. S., Chanock, S. J., Dolan, S. M., Fortier, I., García‐Closas, M., GWINN, M. L., Higgins, J. P. T., et al. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp119 · Cited by 145 · see citing works

Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach

Mostert, M., Bredenoord, A. L., Biesaart, M. C. I. H., & van Delden, J. J. M. (2016) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.239 · Cited by 143 · see citing works

Biomedical Big Data: New Models of Control Over Access, Use and Governance

Vayena, E., & Blasimme, A. (2017) · Journal of Bioethical Inquiry · doi:10.1007/s11673-017-9809-6 · Cited by 120 · see citing works

The Pharmaceutical Commons

Lezaun, J., & Montgomery, C. M. (2014) · Science Technology & Human Values · doi:10.1177/0162243914542349 · Cited by 119 · see citing works

Redefining Genomic Privacy: Trust and Empowerment

Narayana, A., Yocum, K., Glazer, D., Farahany, N. A., Olson, M. V., Stein, L. D., Williams, J. B., WITKOWSKI, J. A., Kain, R. C., & Erlich, Y. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001983 · Cited by 100 · see citing works

BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples

Holub, P., Swertz, M. A., Reihs, R., van Enckevort, D., Müller, H., & Litton, J. (2016) · Biopreservation and Biobanking · doi:10.1089/bio.2016.0088 · Cited by 93 · see citing works

Consent Codes: Upholding Standard Data Use Conditions

Dyke, S. O. M., Philippakis, A., Rambla, J., Paltoo, D. N., Luetkemeier, E. S., Knoppers, B. M., Brookes, A. J., Spalding, D., Thompson, M., Roos, M., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005772 · Cited by 82 · see citing works

Beyond open data: realising the health benefits of sharing data: Table 1

Pisani, E., Aaby, P., Breugelmans, J. G., Carr, D. L., Groves, T., Helinski, M. E. H., Kamuya, D., Kern, S. E., Littler, K., Marsh, V., et al. (2016) · BMJ · doi:10.1136/bmj.i5295 · Cited by 80 · see citing works

From the principles of genomic data sharing to the practices of data access committees

Shabani, M., Knoppers, B. M., & Borry, P. (2015) · EMBO Molecular Medicine · doi:10.15252/emmm.201405002 · Cited by 65 · see citing works

The Double-Edged Sword of Open Access to Research Data

Spertus, J. A. (2012) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.112.965814 · Cited by 25 · see citing works

Can Data Sharing Become the Path of Least Resistance?

Editors, T. P. M. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1001949 · Cited by 22 · see citing works

Thanks for sharing: the bumpy road towards truly open data

Murray, M. J. (2016) · BMJ · doi:10.1136/bmj.i849 · Cited by 4 · see citing works

Prestidigitation vs. Public Trust: Or How We Can Learn to Change the Conversation and Prevent Powers From “Organizing the Discontent”

Rich, L. E. (2017) · Journal of Bioethical Inquiry · doi:10.1007/s11673-017-9769-x · Cited by 4 · see citing works

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Lee, D., Chen, W., Wang, L., Chen, W., & Chen, W. (2023) · Advanced Materials · doi:10.1002/adma.202305254 · Cited by 246 · see citing works

A Detailed Review of Artificial Intelligence Applied in the Fashion and Apparel Industry

Giri, C., Jain, S., Zeng, X.-Y., & Bruniaux, P. (2019) · IEEE Access · doi:10.1109/access.2019.2928979 · Cited by 114 · see citing works

The Era of Radiogenomics in Precision Medicine: An Emerging Approach to Support Diagnosis, Treatment Decisions, and Prognostication in Oncology

Shui, L., Ren, H., Yang, X., Li, J., Chen, Z., Cheng, Y., Zhu, H., & Shui, P. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2020.570465 · Cited by 141 · see citing works

Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine

Saxena, S., Jena, B., Gupta, N., Das, S., Sarmah, D., Bhattacharya, P., Nath, T., Paul, S., Fouda, M. M., Kalra, M. K., et al. (2022) · Cancers · doi:10.3390/cancers14122860 · Cited by 138 · see citing works

Application of machine learning approaches in supporting irrigation decision making: A review

Umutoni, L., & Samadi, V. S. (2024) · Agricultural Water Management · doi:10.1016/j.agwat.2024.108710 · Cited by 114 · see citing works

Toward a global virus genomic surveillance network

Hill, V., Githinji, G., Vogels, C. B. F., Bento, A. I., Chaguza, C., Carrington, C. V. F., & Grubaugh, N. D. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.03.003 · Cited by 113 · see citing works

Accelerating CO2 electrochemical conversion towards industrial implementation

Segets, D., Andronescu, C., & Apfel, U. (2023) · Nature Communications · doi:10.1038/s41467-023-43762-6 · Cited by 106 · see citing works

Biobanks for life sciences and personalized medicine: importance of standardization, biosafety, biosecurity, and data management

Müller, H., Dagher, G., Loibner, M., Stumptner, C., Kungl, P., & Zatloukal, K. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.12.004 · Cited by 92 · see citing works

Observational health research in Europe: understanding the General Data Protection Regulation and underlying debate

van Veen, E.-B. (2018) · European Journal of Cancer · doi:10.1016/j.ejca.2018.09.032 · Cited by 84 · see citing works

p3k14c, a synthetic global database of archaeological radiocarbon dates

Bird, D., Miranda, L., Linden, M. V., Robinson, E., Bocinsky, R. K., Nicholson, C., Capriles, J. M., Finley, J. B., Gayó, E. M., Gil, A. F., et al. (2022) · Scientific Data · doi:10.1038/s41597-022-01118-7 · Cited by 85 · see citing works

Microbial natural product databases: moving forward in the multi-omics era

van Santen, J. A., Kautsar, S. A., Medema, M. H., & Linington, R. G. (2020) · Natural Product Reports · doi:10.1039/d0np00053a · Cited by 79 · see citing works

Colonization Ability and Impact on Human Gut Microbiota of Foodborne Microbes From Traditional or Probiotic-Added Fermented Foods: A Systematic Review

Roselli, M., Natella, F., Zinno, P., Guantario, B., Canali, R., Schifano, E., Angelis, M. D., Nikoloudaki, O., Gobbetti, M., Perozzi, G., et al. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.689084 · Cited by 80 · see citing works

Climate Change Effects on Pathogen Emergence: Artificial Intelligence to Translate Big Data for Mitigation

Garrett, K. A., Bebber, D. P., Etherton, B. A., Gold, K. M., Sulá, A. I. P., & Selvaraj, M. G. (2022) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-021021-042636 · Cited by 77 · see citing works

Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures

Jirasek, F., & Hasse, H. (2023) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-092220-025342 · Cited by 74 · see citing works

Addressing the need for indigenous and decolonized quantitative research methods in Canada

Hayward, A., Wodtke, L., Craft, A., Robin, T., Smylie, J., McConkey, S., Nychuk, A., Healy, C., Star, L., & Cidro, J. (2021) · SSM - Population Health · doi:10.1016/j.ssmph.2021.100899 · Cited by 69 · see citing works

Cancer chemoprevention: signaling pathways and strategic approaches

Ren, J., Yan, G., Yang, L., Kong, L., Guan, Y., Sun, H., Liu, C., Liu, L., Han, Y., & Wang, X. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02167-1 · Cited by 63 · see citing works

Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review

Inau, E. T., Sack, J., Waltemath, D., & Zeleke, A. A. (2020) · JMIR Research Protocols · doi:10.2196/22505 · Cited by 50 · see citing works

The Semantic Data Dictionary – An Approach for Describing and Annotating Data

Rashid, S. M., McCusker, J. P., da Silva, P. P., Bax, M. P., Santos, H., Stingone, J. A., Das, A. K., & McGuinness, D. L. (2020) · Data Intelligence · doi:10.1162/dint_a_00058 · Cited by 49 · see citing works

Will the European Health Data Space change data sharing rules?

Shabani, M. (2022) · Science · doi:10.1126/science.abn4874 · Cited by 47 · see citing works

The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review

Ali, B., & Dahlhaus, P. G. (2022) · Agriculture · doi:10.3390/agriculture12020309 · Cited by 42 · see citing works

Challenges of Using Synthetic Data Generation Methods for Tabular Microdata

Miletic, M., & Sariyar, M. (2024) · Applied Sciences · doi:10.3390/app14145975 · Cited by 41 · see citing works

Predicting protein stability and solubility changes upon mutations: data perspective

Mazurenko, S. (2020) · ChemCatChem · doi:10.1002/cctc.202000933 · Cited by 34 · see citing works

Dataset Reuse: Toward Translating Principles to Practice

Koesten, L. M., Vougiouklis, P., Simperl, E., & Groth, P. (2020) · Patterns · doi:10.1016/j.patter.2020.100136 · Cited by 40 · see citing works

ASINA Project: Towards a Methodological Data-Driven Sustainable and Safe-by-Design Approach for the Development of Nanomaterials

Furxhi, I., Perucca, M., Blosi, M., de Ipiña, J. L., Oliveira, J. A. S. A., Murphy, F., & Costa, A. L. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.805096 · Cited by 36 · see citing works

What is data stewardship? Towards a comprehensive understanding

Wendelborn, C., Anger, M., & Schickhardt, C. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104337 · Cited by 35 · see citing works

Interlinking open science and community-based participatory research for socio-environmental issues

Kondo, Y., Miyata, A., Ikeuchi, U., Nakahara, S., Nakashima, K., Ōnishi, H., Osawa, T., Ota, K., Sato, K., Ushijima, K., et al. (2019) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2019.07.001 · Cited by 35 · see citing works

A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

Vlachavas, E., Bohn, J. R., Ückert, F., & Nürnberg, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22062822 · Cited by 36 · see citing works

Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine

Comte, B., Baumbach, J., Benis, A., Basílio, J., Debeljak, N., Flobak, Å., Franken, C., Harel, N., HeFeng, F. Q., Kuiper, M. T. R., et al. (2020) · Network and Systems Medicine · doi:10.1089/nsm.2020.0004 · Cited by 33 · see citing works

A systematic literature review of researchers’ and healthcare professionals’ attitudes towards the secondary use and sharing of health administrative and clinical trial data

Hutchings, E., Loomes, M., Butow, P. N., & Boyle, F. M. (2020) · Systematic Reviews · doi:10.1186/s13643-020-01485-5 · Cited by 33 · see citing works

Regional synapse gain and loss accompany memory formation in larval zebrafish

Dempsey, W. P., Du, Z., Nadtochiy, A., Smith, C. D., Czajkowski, K., Andreev, A., Robson, D. N., Li, J., Applebaum, S. S., Truong, T. V., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2107661119 · Cited by 30 · see citing works

Responsible AI in Farming: A Multi-Criteria Framework for Sustainable Technology Design

Mallinger, K., & Baeza-Yates, R. A. (2024) · Applied Sciences · doi:10.3390/app14010437 · Cited by 37 · see citing works

Health and environmental safety of nanomaterials: O Data, Where Art Thou?

Furxhi, I. (2021) · NanoImpact · doi:10.1016/j.impact.2021.100378 · Cited by 32 · see citing works

Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

Williamson, H. F., & Leonelli, S. (2022) · Springer eBooks · doi:10.1007/978-3-031-13276-6 · Cited by 35 · see citing works

Is useful research data usually shared? An investigation of genome-wide association study summary statistics

Thelwall, M. A., Munafo, M. R., Más-Bleda, A., Stuart, E., Makita, M., Weigert, V., Keene, C., Khan, N., Drax, K., & Kousha, K. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229578 · Cited by 25 · see citing works

Generate FAIR Literature Surveys with Scholarly Knowledge Graphs

Oelen, A., Jaradeh, M. Y., Stocker, M., & Auer, S. (2020) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/3383583.3398520 · Cited by 30 · see citing works

Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development

Wyngaard, J., Barbieri, L. K., Thomer, A. K., Adams, J., Sullivan, D., Parr, C. S., Shrestha, S. R., Crosby, C., Klump, J., & Bell, T. W. (2019) · Remote Sensing · doi:10.3390/rs11151797 · Cited by 29 · see citing works

Reusing Data Technical and Ethical Challenges

Bóte-Vericad, J.-J., & Graells, M. T. I. (2019) · DESIDOC Journal of Library & Information Technology · doi:10.14429/djlit.39.06.14807 · Cited by 29 · see citing works

Orchestrating and sharing large multimodal data for transparent and reproducible research

Mammoliti, A., Smirnov, P., Nakano, M., Safikhani, Z., Eeles, C. B., Seo, H., Nair, S. K., Mer, A. S., Smith, I., Ho, C., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25974-w · Cited by 31 · see citing works

Being Fair about the Design of FAIR Data Standards

Bezuidenhout, L. M. (2020) · Digital Government Research and Practice · doi:10.1145/3399632 · Cited by 26 · see citing works

Perspectives on the Implementation of FAIR Principles in Solid Earth Research Infrastructures

Bailo, D., Paciello, R., Sbarra, M., Rabissoni, R., Vinciarelli, V., & Cocco, M. (2020) · Frontiers in Earth Science · doi:10.3389/feart.2020.00003 · Cited by 27 · see citing works

A service-oriented collaborative approach to disaster decision support by integrating geospatial resources and task chain

Fang, Z., Yue, P., Zhang, M., Xie, J., Wu, D., & Jiang, L. (2023) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2023.103217 · Cited by 27 · see citing works

Current Challenges and Pitfalls in Soil Metagenomics

Leite, M. F. A., van den Broek, S., & Kuramae, E. E. (2022) · Microorganisms · doi:10.3390/microorganisms10101900 · Cited by 26 · see citing works

The EPOS Research Infrastructure: a federated approach to integrate solid Earth science data and services

Cocco, M., Freda, C., Atakan, K., Bailo, D., Contell, K. S., Lange, O., & Michálek, J. (2022) · Annals of Geophysics · doi:10.4401/ag-8756 · Cited by 25 · see citing works

Open-source curation of a pancreatic ductal adenocarcinoma gene expression analysis platform (pdacR) supports a two-subtype model

Torre-Healy, L. A., Kawalerski, R. R., Oh, K., Chrastecka, L., Peng, X. L., Aguirre, A. J., Rashid, N. U., Yeh, J. J., & Moffitt, R. A. (2023) · Communications Biology · doi:10.1038/s42003-023-04461-6 · Cited by 25 · see citing works

Spatial data trusts: an emerging governance framework for sharing spatial data

Radosevic, N., Duckham, M., Rahaman, M. S., Ho, S., Williams, K., Hashem, T., & Tao, Y. (2023) · International Journal of Digital Earth · doi:10.1080/17538947.2023.2200042 · Cited by 23 · see citing works

Machine Learning‐Powered Optimization of a CHO Cell Cultivation Process

Richter, J., Wang, Q., Lange, F., Thiel, P., Yilmaz, N., Solle, D., Zhuang, X., & Beutel, S. (2025) · Biotechnology and Bioengineering · doi:10.1002/bit.28943 · Cited by 23 · see citing works

Exploring the Current Practices, Costs and Benefits of FAIR Implementation in Pharmaceutical Research and Development: A Qualitative Interview Study

Alharbi, E., Skeva, R., Juty, N., Jay, C., & Goble, C. (2021) · Data Intelligence · doi:10.1162/dint_a_00109 · Cited by 23 · see citing works

Human exposome assessment platform

Merino-Martinez, R., Müller, H., Negru, S., Ormenisan, A., Mühr, L. S. A., Zhang, X., Møller, F. T., Clements, M., Kozlakidis, Z., Pimenoff, V. N., et al. (2021) · Environmental Epidemiology · doi:10.1097/ee9.0000000000000182 · Cited by 23 · see citing works

Data Management Policies and Practices of Digital Archaeological Repositories

Geser, G., Richards, J. D., Service, A. D., Massara, F., Wright, H., & Service, A. D. (2022) · Internet Archaeology · doi:10.11141/ia.59.2 · Cited by 23 · see citing works

FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?

Raza, S., Ghuge, S., Ding, C., Dolatabadi, E., & Pandya, D. A. (2024) · Data Intelligence · doi:10.1162/dint_a_00255 · Cited by 33 · see citing works

#SejaJUSTOeCUIDADOSO: princípios FAIR e CARE na gestão de dados de pesquisa

Vidotti, S. A. B. G., Torino, E., & Coneglian, C. S. (2021) · doi:10.22477/9786589167242.cap15 · Cited by 22 · see citing works

Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes: The EUBIROD Review of Diabetes Registries and Data Sources in Europe

Carinci, F., Štotl, I., Cunningham, S. G., Poljičanin, T., Pristaš, I., Traynor, V., Olympios, G., Scoutellas, V., Azzopardi, J. G., Doggen, K., et al. (2021) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2021.744516 · Cited by 22 · see citing works

What ethical approaches are used by scientists when sharing health data? An interview study

Johansson, J. V., Bentzen, H. B., & Mascalzoni, D. (2022) · BMC Medical Ethics · doi:10.1186/s12910-022-00779-8 · Cited by 22 · see citing works

Microbiome modeling: a beginner's guide

Lange, E., Kranert, L., Krüger, J., Benndorf, D., & Heyer, R. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1368377 · Cited by 21 · see citing works

Completeness of Electronic Dental Records in a Student Clinic: Retrospective Analysis

Levitin, S. A., Grbic, J. T., & Finkelstein, J. (2019) · JMIR Medical Informatics · doi:10.2196/13008 · Cited by 20 · see citing works

Correlative, ML-based and non-destructive 3D-analysis of intergranular fatigue cracking in SAC305-Bi solder balls

Cui, C., Chamasemani, F. F., Paulachan, P., Sinojiya, R. J., Rosc, J., Reisinger, M., Imrich, P. J., Hartner, W., & Brunner, R. (2024) · npj Materials Degradation · doi:10.1038/s41529-024-00456-8 · Cited by 20 · see citing works

A Review of Open Research Data Policies and Practices in China

Zhang, L., Downs, R. R., Li, J., Wen, L., & Li, C. (2021) · Data Science Journal · doi:10.5334/dsj-2021-003 · Cited by 20 · see citing works

Reúso de dados: princípios FAIR e o ecossistema de pesquisa

Caregnato, S. E., da Rocha, R. P., Faustino, R., & Junior, G. (2021) · doi:10.22477/9786589167242.cap14 · Cited by 19 · see citing works

One Digital Health for more FAIRness

Tamburis, O., & Benis, A. (2022) · Methods of Information in Medicine · doi:10.1055/a-1938-0533 · Cited by 19 · see citing works

The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data

Powell, C. D., & Moseley, H. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05423-9 · Cited by 19 · see citing works

Complementary and integrative interventions for PTSD

Niles, B. L., Lang, A. J., & Olff, M. (2023) · European Journal of Psychotraumatology · doi:10.1080/20008066.2023.2247888 · Cited by 19 · see citing works

Current Trends in Research Data Management

Redkina, N. S. (2019) · Scientific and Technical Information Processing · doi:10.3103/s0147688219020035 · Cited by 19 · see citing works

Roadmap to FAIR Research Information in Open Infrastructures

Hauschke, C., Nazarovets, S., Алтемеіер, Ф., & Kaliuzhna, N. (2021) · Journal of Library Metadata · doi:10.1080/19386389.2021.1999156 · Cited by 19 · see citing works

Implementação dos princípios FAIR em repositóriosde dados científicos: uma análise comparativa das infraestruturas de software do DSpace e Dataverse

da Silva, F. C. C., & Rodrigues, M. M. (2021) · doi:10.22477/9786589167242.cap9 · Cited by 18 · see citing works

Princípios FAIR e Linked Data: publicação de cadernos abertos de pesquisa

da Silva, L. C., & Segundo, J. E. S. (2021) · doi:10.22477/9786589167242.cap8 · Cited by 18 · see citing works

Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?

Alharbi, E., Gadiya, Y., Henderson, D. A., Zaliani, A., Delfin-Rossaro, A., Cambon‐Thomsen, A., Köhler, M., Witt, G., Welter, D., Juty, N., et al. (2022) · Drug Discovery Today · doi:10.1016/j.drudis.2022.05.010 · Cited by 18 · see citing works

Hard-to-reach energy users: An ex-post cross-country assessment of behavioural-oriented interventions

Luis Mundaca, T., Rotmann, S., Ashby, K., Karlin, B., Butler, D., Sequeira, M. M., Gouveia, J. P., Palma, P., Realini, A., Maggiore, S., et al. (2023) · Energy Research & Social Science · doi:10.1016/j.erss.2023.103205 · Cited by 19 · see citing works

Using the DATAVERSE project to move towards fair principles

Rezende, L. V. R., & Barbosa, S. (2021) · doi:10.22477/9786589167242.cap3 · Cited by 17 · see citing works

Interoperabilidade de dados e a transdução informacional encapsulada no acesso a dados

Sant’Ana, R. C. G. (2021) · doi:10.22477/9786589167242.cap11 · Cited by 17 · see citing works

Investigando os princípios FAIR em repositórios de dados científicos do National Institutes of Health (NIH)

Bax, M. P. (2021) · doi:10.22477/9786589167242.cap13 · Cited by 17 · see citing works

What is research data “misuse”? And how can it be prevented or mitigated?

Pasquetto, I. V., Cullen, Z., Thomer, A. K., & Wofford, M. F. (2024) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24944 · Cited by 17 · see citing works

Evaluating metal oxide nanoparticle (MeOx NP) toxicity with different types of nano descriptors mainly focusing on simple periodic table-based descriptors: a mini-review

Roy, J., & Roy, K. (2023) · Environmental Science Nano · doi:10.1039/d3en00598d · Cited by 17 · see citing works

Aligning restricted access data with FAIR: a systematic review

Martorana, M., Kuhn, T., Siebes, R., & van Ossenbruggen, J. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.1038 · Cited by 16 · see citing works

Difficulties of FAIR Principles Implementation in Cross-Domain Research Infrastructures

Kalinin, N. A., & Skvortsov, N. A. (2023) · Lobachevskii Journal of Mathematics · doi:10.1134/s199508022301016x · Cited by 16 · see citing works

Unlocking digitally enabled research in oncology: the time is now

Franzoi, M. A., Gillanders, E., & Vaz-Luís, I. (2023) · ESMO Open · doi:10.1016/j.esmoop.2023.101633 · Cited by 16 · see citing works

Implementing a digital infrastructure for the lab using a central laboratory server and the SiLA2 communication standard

Porr, M., Lange, F., Marquard, D., Niemeyer, L., Lindner, P., Scheper, T. H., & Beutel, S. (2020) · Engineering in Life Sciences · doi:10.1002/elsc.202000053 · Cited by 15 · see citing works

Data Shepherding in Nanotechnology. The Initiation

Furxhi, I., Arvanitis, A., Murphy, F., Costa, A. L., & Blosi, M. (2021) · Nanomaterials · doi:10.3390/nano11061520 · Cited by 15 · see citing works

Data Shepherding in Nanotechnology. The Exposure Field Campaign Template

Furxhi, I., Koivisto, A. J., Murphy, F., Trabucco, S., Secco, B. D., & Arvanitis, A. (2021) · Nanomaterials · doi:10.3390/nano11071818 · Cited by 15 · see citing works

Ten simple rules for optimal and careful use of generative AI in science

Helmy, M., Jin, L., Alhossary, A., Mansour, T. A., Pellegrina, D. V. D. S., & Selvarajoo, K. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013588 · Cited by 17 · see citing works

The mwtab Python Library for RESTful Access and Enhanced Quality Control, Deposition, and Curation of the Metabolomics Workbench Data Repository

Powell, C. D., & Moseley, H. (2021) · Metabolites · doi:10.3390/metabo11030163 · Cited by 14 · see citing works

The Role of Metadata and Vocabulary Standards in Enabling Scientific Data Interoperability: A Study of Earth System Science Data Facilities

Mayernik, M. S., & Liapich, Y. (2022) · Journal of eScience Librarianship · doi:10.7191/jeslib.619 · Cited by 13 · see citing works

Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study

Amadi, D., Kiwuwa-Muyingo, S., Bhattacharjee, T., Taylor, A., Kiragga, A. N., Ochola, M., Kanjala, C., Gregory, A., Tomlin, K., Todd, J., et al. (2024) · Online Journal of Public Health Informatics · doi:10.2196/56237 · Cited by 13 · see citing works

Data Shepherding in Nanotechnology: An Antimicrobial Functionality Data Capture Template

Furxhi, I., Varesano, A., Salman, H. H., Mirzaei, M., Battistello, V., Tomasoni, I. T., & Blosi, M. (2021) · Coatings · doi:10.3390/coatings11121486 · Cited by 12 · see citing works

Mathematical Oncology: How Modeling Is Transforming Clinical Decision-Making

Scibilia, K., Gallagher, K., Masud, M. A., Robertson‐Tessi, M., Gatenbee, C., West, J., Llamas, P., Prabhakaran, S., Gallaher, J. A., & Anderson, A. R. A. (2025) · Cancer Research · doi:10.1158/0008-5472.can-25-0750 · Cited by 11 · see citing works

Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research

Rodríguez-Mejías, S., Esposti, S. D., González-García, S., & Parra-Calderón, C. L. (2024) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2024.104670 · Cited by 11 · see citing works

Unlocking biomedical data sharing: A structured approach with digital twins and artificial intelligence (AI) for open health sciences

Jean-Quartier, C., Stryeck, S., Thien, A., Vrella, B., Kleinschuster, J., Spreitzer, E., Wali, M., Mueller, H., Holzinger, A., & Jeanquartier, F. (2024) · Digital Health · doi:10.1177/20552076241271769 · Cited by 12 · see citing works

Data stewardship: case studies from North American, Dutch and Finnish universities

Rousi, A. M., Boehm, R., & Wang, Y. (2024) · Journal of Documentation · doi:10.1108/jd-12-2023-0264 · Cited by 12 · see citing works

Data governance and open sharing in the fields of life sciences and medicine: A bibliometric analysis

Qiu, Y., & Hu, Z. (2025) · Digital Health · doi:10.1177/20552076251320302 · Cited by 11 · see citing works

Identifying Design Requirements of a User-Centered Research Data Management System

Bugaje, M., & Chowdhury, G. G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-04257-8_35 · Cited by 11 · see citing works

AI-driven design and applications of quantum dots

Soni, P. K., Satnami, M. L., Nagwanshi, R., Chawre, Y., Kujur, A. B., Sinha, A., Miri, P., Karbhal, I., & Ghosh, K. K. (2026) · Nano Today · doi:10.1016/j.nantod.2026.102974 · Cited by 11 · see citing works

Digitale Zwillinge in der Bioprozesstechnik – Chancen und Möglichkeiten

Richter, J., Lange, F., Scheper, T. H., Solle, D., & Beutel, S. (2022) · Chemie Ingenieur Technik · doi:10.1002/cite.202200166 · Cited by 10 · see citing works

Schema Playground: a tool for authoring, extending, and using metadata schemas to improve FAIRness of biomedical data

Cano, M. A., Tsueng, G., Zhou, X., Xin, J., Hughes, L. D., Mullen, J. L., Su, A. I., & Wu, C. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05258-4 · Cited by 10 · see citing works

Digital Archaeological Data in the Wild West: the challenge of practising responsible digital data archiving and access in the United States

Nicholson, C., Fernandez, R., & Irwin, J. (2021) · Internet Archaeology · doi:10.11141/ia.58.22 · Cited by 9 · see citing works

Improving the Utility of the Tox21 Dataset by Deep Metadata Annotations and Constructing Reusable Benchmarked Chemical Reference Signatures

Cooper, D. J., & Schürer, S. C. (2019) · Molecules · doi:10.3390/molecules24081604 · Cited by 10 · see citing works

Towards an ontological cross-disciplinary solution for multidisciplinary data: VI-SEEM data management and the FAIR principles

Vassallo, V., & Felicetti, A. (2020) · International Journal on Digital Libraries · doi:10.1007/s00799-020-00285-5 · Cited by 9 · see citing works

From FAIR to FAIRS: Data security by design for the global burden of animal diseases

Stacey, D., Wulff, K., Chikhalla, N., & Bernardo, T. M. (2022) · Agronomy Journal · doi:10.1002/agj2.21017 · Cited by 9 · see citing works

Sharing datasets of the COVID-19 epidemic in the Czech Republic

Komenda, M., Jarkovský, J., Klimeš, D., Panoška, P., Šanca, O., Gregor, J., Mužı́k, J., Karolyi, M., Májek, O., Blaha, M., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267397 · Cited by 9 · see citing works

Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

Sy, M. F., Roman, B., Kerrien, S., Mendez, D. M., Genet, H., Wajerowicz, W., Dupont, M., Lavriushev, I., Machon, J., Pirman, K., et al. (2022) · Semantic Web · doi:10.3233/sw-222974 · Cited by 9 · see citing works

Perceptions and behavior of clinical researchers and research support staff regarding data FAIRification

Kersloot, M. G., Abu–Hanna, A., Ronald Cornet, A., & Arts, D. L. (2022) · Scientific Data · doi:10.1038/s41597-022-01325-2 · Cited by 9 · see citing works

Emerging and evolving values in the changing landscape of genomics

Siermann, M., Mohan, R., Bunnik, E. M., Cambon‐Thomsen, A., CHADWICK, R. F., Cornel, M. C., van Delden, J. J. M., Joly, Y., Molnár-Gábor, F., Jiménez, M. P. N., et al. (2025) · Frontiers in Genetics · doi:10.3389/fgene.2025.1566291 · Cited by 8 · see citing works

FAIR principles for data stewardship

(2016) · Nature Genetics · doi:10.1038/ng.3544 · Cited by 23 · see citing works

The FAIR Principles and Research Data Management

Wang, M., & Savard, D. (2023) · doi:10.5206/exfo3999 · Cited by 7 · see citing works

Introducing The FAIR Phantom: Why Data Without Stewardship Haunts Reproducibility

Kanza, S. (2025) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.17522987

Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud

Mons, B., Neylon, C., Velterop, J., Dumontier, M., Santos, L. O. B. D. S., & Wilkinson, M. D. (2017) · Information Services & Use · doi:10.3233/isu-170824 · Cited by 432 · see citing works

FAIR Principles

Initiative, G. (2016) · Arrow - TU Dublin (Technological University Dublin)