Mirjam van Reisen

ORCID: 0000-0003-0627-8014
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Research Areas
  • Research Data Management Practices
  • Scientific Computing and Data Management
  • African history and culture analysis
  • Global Peace and Security Dynamics
  • Data Quality and Management
  • Sex work and related issues
  • Migration, Health and Trauma
  • Historical and Contemporary Political Dynamics
  • Human Rights and Development
  • Dutch Social and Cultural Studies
  • European Union Policy and Governance
  • Artificial Intelligence in Healthcare
  • International Development and Aid
  • Biomedical Text Mining and Ontologies
  • AI in cancer detection
  • Asian Geopolitics and Ethnography
  • Global Maritime and Colonial Histories
  • Jewish and Middle Eastern Studies
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 diagnosis using AI
  • Archaeology and Historical Studies
  • Public Administration and Political Analysis
  • Electronic Health Records Systems
  • Research in Social Sciences
  • Data-Driven Disease Surveillance

Leiden University
2019-2024

Leiden University Medical Center
2021-2023

Tilburg University
2000-2023

University of Sousse
2022

Transnational University Limburg
2022

SNV Netherlands Development Organisation
2019

Central Bank of Ireland
2012

Ollscoil na Gaillimhe – University of Galway
2012

The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 guiding do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability Reusability digital resources. This has likely contributed to adoption principles, because individual stakeholder communities can implement own solutions. However, it also resulted inconsistent...

10.1162/dint_r_00024 article EN Data Intelligence 2019-11-01

This article explores the global implementation of FAIR Guiding Principles for scientific management and data stewardship, which provide that should be findable, accessible, interoperable reusable. The these principles is designed to lead stewardship as digital objects establishment Internet Data Services (IFDS). If reaches a tipping point, IFDS has potential revolutionize how managed by making machine human readable discoverable reuse. Accordingly, this examines expansion Principles,...

10.1162/dint_a_00049 article EN Data Intelligence 2019-11-01

Abstract The limited volume of COVID‐19 data from Africa raises concerns for global genome research, which requires a diversity genotypes accurate disease prediction, including on the provenance new SARS‐CoV‐2 mutations. Virus Outbreak Data Network (VODAN)‐Africa studied possibility increasing production clinical data, finding about ownership, and use health quality treatment at point care. To address this, VODAN developed an architecture to record research collected incidence COVID‐19,...

10.1002/ggn2.10050 article EN cc-by Advanced Genetics 2021-06-01

Abstract This article assesses the difference between concepts of ‘open data’ and ‘FAIR in data management. FAIR is understood as that complies with Guidelines—data Findable, Accessible, Interoperable Reusable—while open was born out awareness need to democratise by improving its accessibility, based on idea should not have limitations prevent people from using it. study compared analysing relevant documents a coding analysis conceptual labels Kingdon's theory agenda setting. The found...

10.1162/dint_a_00176 article EN Data Intelligence 2022-01-01

The phenomenon that is coined “Sinai Trafficking” started in 2009 the Sinai desert. It involves abduction, extortion, sale, torture, sexual violation and killing of men, women children. Migrants, whom vast majority are from Eritrean descent, abducted brought to desert, where they sold resold, extorted for very high ransoms collected by mobile phone, while being brutally “functionally” tortured support extortion. Many them die Sinai. Over last five years broadcasting stations, human rights...

10.17645/si.v3i1.180 article EN cc-by Social Inclusion 2015-02-23

Abstract This study explores the possibility of opening a policy window for adoption FAIR Guidelines— that data be Findable, Accessible, Interoperable, and Reusable (FAIR)—in Uganda's eHealth sector. Although Guidelines were not mentioned in any documents relevant to sector, found 83% Equivalent efforts, such as National Identification Number (NIN) unique identifier national Electronic Health Management Information System (eHMIS) (findability), planned/ongoing integration various information...

10.1162/dint_a_00170 article EN Data Intelligence 2022-01-01

Abstract Prior to the advent of COVID-19 pandemic, distance education, a mode education that allows teaching and learning occur beyond walls traditional classrooms using electronic media online delivery practices, was not widely embraced as credible alternative delivering especially in Africa. In measures contain it, created need for virtual learning/teaching showcased potential education. This article explores with an emphasis on role played by COVID-19, technologies employed, benefits,...

10.1162/dint_a_00184 article EN Data Intelligence 2022-01-01

This article investigates expansion of the Internet FAIR Data and Services (IFDS) to Africa, through three GO pillars: CHANGE, BUILD TRAIN. Introduction IFDS in Africa has a focus on digital health. Two examples introducing are compared: regional initiative for health by governments East Community (EAC) an local provider (Solidarmed) collaboration with Great Zimbabwe University Zimbabwe. The obstacles identified as underrepresentation data from at this moment, lack explicit recognition...

10.1162/dint_a_00047 article EN Data Intelligence 2019-11-01

Abstract This paper investigates whether or not there is a policy window for making health data ‘Findable’, ‘Accessible’ (under well-defined conditions), ‘Interoperable’ and ‘Reusable’ (FAIR) in Ethiopia. The question answered by studying the alignment of policies Ethiopia with FAIR Guidelines their ‘FAIR Equivalency’. Policy documents relating to digitalisation systems were examined determine Equivalency. Although are fragmented have no overarching governing framework, it was found that...

10.1162/dint_a_00172 article EN Data Intelligence 2022-01-01

Abstract The incompleteness of patient health data is a threat to the management COVID-19 in Africa and globally. This has become particularly clear with recent emergence new variants concern. Virus Outbreak Data Network (VODAN)-Africa studied curation selected African countries identified that information flows often do not involve use at point care, which renders production largely meaningless those producing it. modus operandi leads disfranchisement over control data, extracted be...

10.1162/dint_e_00166 article EN cc-by Data Intelligence 2022-01-01

Abstract The FAIR Guidelines were conceptualised and coined as guidelines for Findable, Accessible, Interoperable Reusable (FAIR) data at a conference held the Lorentz Centre in Leiden 2014. A relatively short period of time after this conference, made it onto public policy agenda European Union. Following concept Kingdon, entrepreneurs played critical role creating window idea to reach by linking establishing Open Science Cloud (EOSC). Tracing development from policy, study highlights that...

10.1162/dint_a_00168 article EN Data Intelligence 2022-01-01

Abstract The Virus Outbreak Data Network (VODAN)-Africa aims to contribute the publication of Findable Accessible, Interoperable, and Reusable (FAIR) health data under well-defined access conditions. next step in VODAN-Africa architecture is locally deploy Center for Expanded Annotation Retrieval (CEDAR) arrange accessibility based on ‘data visiting’ concept. Locally curated reposited machine-actionable can be visited by queries or algorithms, provided that conditions are met. goal enable...

10.1162/dint_a_00180 article EN Data Intelligence 2022-01-01

Abstract Rapid and effective data sharing is necessary to control disease outbreaks, such as the current coronavirus pandemic. Despite existence of agreements, silos, lack interoperable infrastructures, different institutional jurisdictions hinder accessibility. To overcome these challenges, Virus Outbreak Data Network (VODAN)-Africa initiative championing an approach in which never leaves institution where it was generated, but, instead, algorithms can visit query multiple datasets...

10.1162/dint_a_00179 article EN Data Intelligence 2022-01-01

FAIR-Guidelines can be enriched to include ownership of data, localisation storing data and stewardship that respects regulatory frameworks relevant the jurisdiction. It is proposed this referred as FAIR-OLR; OLR referring Ownership, Localisation Regulation production in

10.3233/fc-230506 article EN other-oa Fair Connect 2023-04-21

Abstract The field of health data management poses unique challenges in relation to ownership, the privacy subjects, and reusability data. FAIR Guidelines have been developed address these challenges. Virus Outbreak Data Network (VODAN) architecture builds on principles, using European Union's General Protection Regulation (GDPR) framework ensure compliance with local regulations, while information knowledge concepts further improve provenance interoperability. In this article we provide an...

10.1162/dint_a_00167 article EN Data Intelligence 2022-08-18
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