2022

van Reisen, M.,  Amare, S.Y.; Nalugala, R.; Taye, G.T.; Gebreslassie, T.G.; Medhanyie, A.A.; Schultes, E.; Mpezamihigo, M. (2022). Connecting Health Data across jurisdictions through FAIR Data-visiting: Ownership, Localisation and Regulatory compliance (OLR). FAIR Connect. 

Amare, S.Y.; Taye, G.T.; Gebreslassie; T.G.; Plug, R. Van Reisen, M. (2022) Realizing horizontal and vertical health data-interoperability in low connectivity settings: the case of VODAN-Africa. FAIR Connect, 1(1), 55-61. https://doi.org/10.3233/FC-221510

Kawu, A.A., Dympna O’Sullivan, D.; Hederman, L.  (2022) FAIR4PGHD : A  Framework for FAIR Implementation over PGHD. FAIR Connect, 1(1), 35-40. https://doi.org/10.3233/FC-230500

Ferreira, A., Van Reisen, M. (2022) Hourglass-based Interoperability Through Nanopublications in VODAN-A. FAIR Connect, 1(1), 5-11. https://doi.org/10.3233/FC-221512

Gebreslassie, T.G., Van Reisen, M.; Amare, S.Y. Taye, G.T.; Plug, R. (2022) Leveraging FHIR in health data FAIRfication process: In the case of VODAN-A. FAIR Connect. https://doi.org/10.3233/FC-230504

van Reisen, M., Mons, B.: Introduction to the Special Issue: Data Intelligence on patient health records. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_e_00165

Van Reisen, M., Oladipo, F., Mpezamihigo, M., Plug, R., Basajja, M., Aktau, A., Purnama Jati, P.H., Nalugala, R., Folorunso, S., Amare, Y.S., Abdulahi, I., Afolabi, O.O., Mwesigwa, E., Taye, G.T., Kawu, A., Ghardallou, M., Liang, Y., Osigwe, O., Medhanyie, A.A., Mawere, M.: Incomplete COVID-19 data: The curation of medical health data by the Virus Outbreak Data Network-Africa. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_e_00166

Plug, R., Liang, Y., Aktau, A., Basajja, M., Oladipo, F., Van Reisen, M.: Terminology for a FAIR framework for the Virus Outbreak Data Network-Africa. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00167

Stocker, M., Stokmans, M., Van Reisen, M.: Agenda setting on FAIR Guidelines in the European Union and the role of expert committees. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00168

Lin, Y., Purnama Jati, P.H., Aktau, A., Ghardallou, M., Nodehi, S., Van Reisen, M.: Implementation of FAIR Guidelines in selected non-Western geographies. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00169

Basajja, M., Van Reisen, M., Oladipo, F.: FAIR Equivalency with regulatory framework for digital health in Uganda. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00170

Purnama Jati, P.H.: FAIR Equivalency in Indonesia’s digital health framework. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00171

Taye, G.T., Amare, Y.S., Gebremeskel, G.T., Medhanyie, A.A., Ayele, W., Habtamu, T., Van Reisen, M.: FAIR Equivalency with regulatory framework for digital health in Ethiopia. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00172

Chindoza, K.: Regulatory framework for eHealth data policies in Zimbabwe: Measuring FAIR Equivalency. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00173

Kawu, A.A., Joseph, E., Abdullahi, I., Maipanuku, J.Y., Folorunso, S., Basajja, M., Oladipo, F., Ibrahim, H.L.: FAIR Guidelines and data regulatory framework for digital health in Nigeria. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00174

Thea, E.I., Nalugala, R., Nandwa, W., Obwanda, F., Wachira, A. Cartaxo, A.M.: FAIR Equivalency, regulatory framework and adoption potential of FAIR Guidelines in health in Kenya. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00175

Purnama Jati, P.H., Lin, Y., Nodehi, S., Cahyono, D.B., Van Reisen, M.: FAIR versus open data: A comparison of objectives and principles. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00176

Basajja, M., Nambobi, M.: Information streams in health facilities: The case of Uganda. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00177

Basajja, M., Nambobi, M., Wolstencroft, K.: Possibility of enhancing digital health interoperability in Uganda through FAIR data. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00178

Basajja, M., Suchanek, M., Taye, G.T., Amare, S.Y., Nambobi, M., Folorunso, S., Plug, R., Oladipo, F.O., Van Reisen, M.: Proof of concept and horizons on deployment of FAIR Data Points in the COVID-19 pandemic. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00179

Purnama Jati, P.H., Van Reisen, M., Flikkenschild, E., Oladipo, F., Meerman, B., Plug, R., Nodehi, S.: Data access, control, and privacy protection in the VODAN-Africa architecture. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00180

Ghardallou, M., Wirtz, M., Folorunso, S., Touati, Z., Ogundepo, E., Smits, K., Mtiraoui, A., Van Reisen, M.: Expanding non-patient COVID-19 data: Towards the FAIRification of migrants’ data in Tunisia, Libya and Niger. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00181

Folorunso, S., Ogundepo, E., Basajja, M., Awotunde, J.B., Kawu, A.A., Oladipo, F.O., Abdullahi, I.: FAIR machine learning model pipeline implementation of COVID-19 data. Data Intelligence 4(4), (2022). doi: https://doi.org/10.1162/dint_a_00182

Oladipo, F., Folorunso, S., Ogundepo, E.A., Osigwe, E., Akindele, A.T.: Curriculum development for FAIR data stewardship. Data Intelligence 4(4), xxx-xxx (2022). doi: https://doi.org/10.1162/dint_a_00183

Akindele, A.T., Tayo, A.O., Taye, G.T., Amare, S.Y., Van Reisen, M., Berhe, K.F., Gusite, B., Edozie, E.: The impact of COVID-19 and FAIR data innovation on distance education in Africa. Data Intelligence 4(4) (2022). doi: https://doi.org/10.1162/dint_a_00184

Bigirimana, S., Van Stam, G.: Artificial intelligence: Qualified competence without comprehension of essence. Data Intelligence Vol. 4 (2022)

Plug. R. , Liang, Y.;  Basajja, M.; Aktau, A.; Purnama Jati, P.H.; Amare, S.Y., Taye  G.T., Mpezamihigo, M.;  Oladipo, F.; Van Reisen, M. ( 2022) FAIR and GDPR Compliant Population Health Data Generation, Processing and Analytics. CEUR-WS. Vol. 3127

Aktau, A.: Fair adoption potential for digital healthcare in Kazakhstan. Data Intelligence Vol. 4 (2022)

Purnama Jati, P. H., Lin, Y., Nodehi, S., Cahyono, D. B., Van Reisen, M.: FAIR versus open data: A comparison of objectives and principles. Data Intelligence Vol. 4 (2022)

Basajja, M., Nambobi, M.: Information streams in health facilities: The case of Uganda. Data Intelligence Vol. 4 (2022)

Basajja, M., Nambobi, M., Wolstencroft, K.: Possibility of enhancing digital health interoperability in Uganda through FAIR data. Data Intelligence Vol. 4 (2022)

Chindoza, K., Van Stam, G., Mulingwa, A., Mawere, G. E., Mukute, S., Winji, L., Marima, I. J.: eHealth implementation in Zimbabwe: An exploration into the usability of FAIR in data integration. Data Intelligence Vol. 4 (2022)

Amare, Y. S, Taye, G. T., Van Stam, G., Van Reisen, M.: Conundrum of diversity: The FAIR experience. Data Intelligence Vol. 4 (2022)

Basajja, M., Suchanek, M., Taye, G. T., Amare, S. Y., Nambobi, M., Folorunso, S., Plug, R., Oladipo, F. O., Van Reisen, M.: Proof of concept and horizons on deployment of FAIR Data Points in the COVID-19 pandemic. Data Intelligence Vol. 4 (2022)

Purnama Jati, P. H., Van Reisen, M., Flikkenschild, E., Oladipo, F., Meerman, B., Plug, R., Nodehi, S.: Data access, control, and privacy protection in the VODAN-Africa architecture. Data Intelligence Vol. 4 (2022)

Ghardallou, M., Wirtz, M., Folorunso, S., Touati, Z., Ogundepo, E., Smits, K., Mtiraoui, A., Van Reisen, M.: Expanding non-patient COVID-19 data: Towards the FAIRification of migrants’ data in Tunisia, Libya and Niger. Data Intelligence Vol. 4 (2022)

Cartaxo, A. M., Nandwa, W. M., Nalugala, R., Adhiambo, W. A., Gathua, F.: Exploring the potential of eHealth innovation during the COVID-19 pandemic: The case of maternal and child healthcare in Pumwani and Westlands sub-counties, Nairobi, Kenya. Data Intelligence Vol. 4 (2022)

Folorunso, S., Ogundepo, E., Basajja, M., Awotunde, J. B., Kawu, A. A., Oladipo, F., Abdullahi, I.: FAIR machine learning model pipeline implementation of COVID-19 data. Data Intelligence Vol. 4 (2022)

Oladipo, F., Folorunso, S., Ogundepo, E. A., Osigwe, E., Akindele, A.T.: Curriculum development for FAIR data stewardship. Data Intelligence Vol. 4 (2022)

Akindele, A. T., Tayo, A. O., Taye, G. T., Amare, S. Y., Van Reisen, M., Berhe, K. F., Gusite, B., Edozie, E.: The impact of COVID-19 and FAIR data innovation on distance education in Africa. Data Intelligence Vol. 4 (2022)

Forry, J. B., Kirabira, J., … & Ashaba, S. (2022). Gender Based Violence and its Determinants during the COVID-19 Lockdown in a Low Income Country: A Cross-Sectional Survey. Journal of Gender-Based Violence. https://doi.org/10.1332/239868021X16460622083652

Carrillo, J., Vallejo, B. and Gomis, R. (2022). COVID-19 and industrial resilience in the Global South. The case study of the auto parts sector in Mexico. International Journal of Automotive Technology and Management. 10.1504/IJATM.2022.10043101

Van Reisen, M., Oladipo, F., Mpezamihigo, M., Plug, R., Basajja, M., Aktau, A., Purnama Jati, P. H., Nalugala, R., Folorunso, S., Amare, Y. S., Abdulahi, I., Afolabi, O. O., Mwesigwa, E., Taye, G. T., Kawu, A., Ghardallou, M., Liang, Y., Osigwe, O., Medhanyie, A. A., Mawere, M.: Incomplete COVID-19 data: The curation of medical health data by the Virus Outbreak Data Network-Africa. Data Intelligence Vol. 4 (2022)

Plug, R., Liang, Y., Aktau, A., Basajja, M., Oladipo, F., Van Reisen, M.: Terminology for a FAIR framework for the Virus Outbreak Data Network-Africa. Data Intelligence Vol. 4 (2022)

Stocker, M., Stokmans, M., Van Reisen, M.: Agenda setting on FAIR Guidelines in the European Union and the role of expert committees. Data Intelligence Vol. 4 (2022)

Lin, Y., Purnama Jati, P. H., Aktau, A., Ghardallou, M., Nodehi, S., Van Reisen, M.: Implementation of FAIR Guidelines in selected non-Western geographies. Data Intelligence Vol. 4 (2022)

Basajja, M., Van Reisen, M., Oladipo, F.: FAIR Equivalency with regulatory framework for digital health in Uganda. Data Intelligence Vol. 4 (2022)

Purnama Jati, P. H.: FAIR Equivalency in Indonesia’s digital health framework. Data Intelligence Vol 4 (2022)

Taye, G. T., Amare, S. Y., Tesfit, G. G., Medhanyie, A. A., Ayele, W., Habtamu, T., Van Reisen, M.: FAIR Equivalency with regulatory framework for digital health in Ethiopia. Data Intelligence Vol. 4 (2022)

Chindoza, K.: Regulatory framework for eHealth data policies in Zimbabwe: Measuring FAIR Equivalency. Data Intelligence Vol. 4 (2022)

Kawu, A. A., Joseph, E., Abdullahi, I., Maipanuku J. Y., Folorunso, S., Basajja, M., Oladipo, F., Ibrahim, H. L.: FAIR Guidelines and data regulatory framework for digital health in Nigeria. Data Intelligence Vol. 4 (2022)

Thea, E. I., Nalugala, R., Nandwa, W., Obwanda, F., Wachira, A. Cartaxo, A. M.: FAIR Equivalency, regulatory framework and adoption potential of FAIR Guidelines in health in Kenya. Data Intelligence Vol. 4 (2022)

Kirabira, J., Forry, J. B., Ssebuufu, R., Akimana, B., Nakawuki, M., Anyayo, L., … & Kyamanywa, P. (2022). Psychological distress and associated factors among hospital workers in Uganda during the COVID-19 lockdown–A multicentre study. Heliyon, e08807. 10.1016/j.heliyon.2022.e08807

2021

Van Reisen, M., Oladipo, F., Stokmans, M., Mpezamihigo, M., Folorunso, S., & Schultes, E., et al. (2021). Design of a FAIR digital data health infrastructure in Africa for COVID‐19 reporting and research. Advanced Genetics 2(2). doi: 10.1002/ggn2.10050

Vivalya, B. M. N., Forry, J. B., Ayodeji, O. A., Nzanzu, A. K., Mwalitsa, J. P. P., & Kirimuhuzya, C. (2021). Lock down, Social Distancing and Mental Health during the COVID-19 Pandemic in African Settings: The People’s Perspectives, Challenges, and Opportunities in the Democratic Republic of Congo. J Clin Res Bioeth. S, 8. 10.35248/2155-9627.21.s8.002

Wehn, U., Vallejo, B., Seijger, C., Tlhagale, M., Amorsi, N., Sossou, S., Genthe, B., Kileshye-Onema, J.M. (2021) Strengthening the knowledge base to face the impacts of climate change on water resources in Africa: a social innovation perspective, Environmental Science & Policy. DOI: https://doi.org/10.1016/j.envsci.2020.09.026 [Open access]

Matsvange, M., Mugomba, J., Sithole, J. and Murumbi, A. (2021). Early Childhood Development Trainee Teachers’ Perceptions of E-learning Implementation during Covid-19 era in Harare Metropolitan District, Zimbabwe. Middle Eastern Journal of Research in Education and Social Sciences (MEJRESS), 2(3), pp. 97-110.

Ojara M, Owomugisha G, Kibunga IS, Asio LG, Bwaga I, Nabugere T, Tuwayenga RM, Ikoona EN, Kitara DL. Knowledge, attitude and occupational risks to hepatitis B infection among health workers in Gulu Regional Referral Hospital, Northern Uganda: a cross-sectional study design. Pan Afr Med J. 2021 Jun 17;39:138. doi: 10.11604/pamj.2021.39.138.23724. PMID: 34527154; PMCID: PMC8418175.

2020

Van Reisen, M., Stokmans, M., Basajja, M., Ong’ayo,  A. O., Kirkpatrick, C., Mons, B.: Towards the tipping point of FAIR implementation. Data Intelligence 2(2020), 264–275. doi: 10.1162/dint_a_00049

Van Reisen, M., Smits, K., Stokmans, M., Mawere, M. (2020). The (Un)intended Role of Gatekeepers of Information in Human Trafficking in the Digital Era. Karlsruher Institut für Technologie (KIT), ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale. ZAK Occasional Papers

Jacobsen, A., Miranda Azevedo, de R., Juty, N., Van Reisen, M., …, Schultes, E. et. al. (2020). FAIR principles: interpretations and implementation considerations. In: Data Intelligence 2(2020), 264–275. doi: 10.1162/dint_a_00049 (eds. Mons, B., Jacobsen, A. & Schultes, E.). MIT Press, http://www.mitpressjournals.org/dint

Kirabira, J., Forry, B. J., Fallen, R., & Sserwanga, B. (2020). Perceived stigma and school attendance among children and adolescents with epilepsy in South Western Uganda. African Health Sciences, 20(1), 376-382.

Pisirai, C., Mugomba, J. and Matsvange, M. (2020). Factors influencing the attitudes of rural Zimbabwean high school teachers towards remote teaching and learning in Chivi District, Zimbabwe. Journal of New Vision in Educational Research, 1(2), pp. 300-317.

Ssebuufu, R., Sikakulya, F. K., Mambo, S. B., Wasingya, L., Nganza, S. K., Ibrahim, Bwaga., & Kyamanywa, P. (2020). Knowledge, Attitude, and Self-Reported Practice Toward Measures for Prevention of the Spread of COVID-19 Among Ugandans: A Nationwide Online Cross-Sectional Survey. Frontiers in public health, 8, 618731. https://doi.org/10.3389/fpubh.2020.618731

Van Reisen, M., Stokmans, M., Mawere, M., Basajja, M., Ong’ayo, A. O., Nakazibwe, P., Kirkpatrick, C., Chindoza, K.: FAIR practices in Africa. Data Intelligence 2(2020), 246–256. doi: 10.1162/dint_a_00047

2019

Vallejo, B., Oyelaran-Oyeyinka, B., Ozor, N., and Bolo, M. (2019). Open innovation and Innovation Intermediaries in Sub-Saharan Africa. Sustainability, 11(2), 392. DOI: https://doi.org/10.3390/su11020392 [Open access].

Van den Herik, L. & Van Reisen, M. (2019). International Commissions of Inquiry in a Networked World: Unveiling the Roles of Diasporas through an Eritrean Case Study. Oxford University Press: International Journal of Transitional Justice. Volume 13, Issue 3, November 2019, Pages 417–434.

Folorunso S. O., Taiwo, A. I., Olatayo, T. O. (2019): Empirical Comparison of Time Series Data Mining Algorithms. Indonesian Journal of Computing (Indo-JC). School of Computing, Telkom University. 4(2): 109-118. doi:10.21108/indojc.2019.4.2.329

Folorunso, S. O., Ayo, F. E., Adigun, A. A., Olaniyan, O. E. (2019): Evaluation of Multi-Target Regression Models on Africa Soil Properties. University of Pitesti Scientific Bulletin: Electronics and Computers Science of Universitatii din Pitesti. 19(1): 1-8 http://bulletin.feccupit.ro/archive/view/2019_1_1.html

2018

Abdullah, K-K. A, Folorunso, S. O., Solanke, O. O and Sodimu, S. M. (2018). A Predictive Model For Tweet Sentiment Analysis and Classification. Annals. Computer Science Series, ROMANIA. 16(2):35-44 http://anale-informatica.tibiscus.ro/?page=04_indexautori&link=folorunso-so http://anale-informatica.tibiscus.ro/?page=04_indexautori&link=folorunso-so

Gehl Sampath, P., and Vallejo, B. (2018). Trade, global value, and upgrading: What, when, and how? European Journal of Development Research, 30(3), 481-504. DOI: https://doi.org/10.1057/s41287-018-0148-1 [Open access].

Aga, D.A., Noorderhaven, N., and Vallejo, B. (2018). Project beneficiary participation and behavioral intentions promoting project sustainability: The mediating role of psychological ownership. Development Policy Review, 36(5), 527-546. DOI: https://doi.org/10.1111/dpr.12241

Ayo, F. E, Awotunde, J. B., Folorunso, S. O. Ogundokun, R. O., Idoko, P. S., Adekunle, J. I. and Oladipo, I. D. (2018). A Fuzzy Based Method for Diagnosis of Acne Skin Disease Severity. In the Proceedings of the 2nd International Conference on Information and Communication Technology and Its Applications (ICTA2018). Pp 343-349.

2017

Ibrahim B, Emmanuel N, Almenares U et al. Prevalence and aetiology of pathological vaginal discharge among third- trimester’ women attending antenatal care at Kampala international university teaching hospital. Int J Health Sci Res. 2017; 7(11):18-31.

Agunbiade, D. A., Folorunso, S. O., Abdullah, K-K., A. and Ogunyinka, P. I (2017): TwoPhase Sampling for Stratification: Application to Software Industry. Annals. Computer Science Series Journal. 15(2): 56-50

2016

Aga, D.A., Noorderhaven, N., and Vallejo, B. (2016). Transformational leadership and project success: The mediating role of team-building. International Journal of Project Management, 34 (5), 806–818. DOI: https://doi.org/10.1016/j.ijproman.2016.02.012

Vallejo, B. and Wehn, U. (2016) Capacity development evaluation. The challenge of the results agenda and measuring return on investment in the Global South. World Development, 79, 1–13. DOI: https://doi.org/10.1016/j.worlddev.2015.10.044 [Open access]