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| CARE principles | |
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| Name | CARE principles |
CARE principles CARE principles are a set of guidelines designed to inform responsible practice in data stewardship, research ethics, and community engagement. They articulate norms that complement existing frameworks by prioritizing rights, governance, and benefit-sharing for particular groups and contexts. The principles have influenced policy debates, institutional protocols, and international discussions across disciplines.
CARE principles define a framework centered on collective rights, authority to control, responsibility, and ethics for communities involved in data and knowledge ecosystems. The scope encompasses interactions among stakeholders such as indigenous peoples, research institutions, funding agencies, and international organizations like United Nations and World Bank. The framework interfaces with instruments and treaties such as the United Nations Declaration on the Rights of Indigenous Peoples and national statutes in jurisdictions including Canada, Australia, and New Zealand. Implementation often intersects with programs run by entities such as the National Institutes of Health, European Commission, and nongovernmental organizations like World Wide Fund for Nature or Amnesty International.
Origins trace to advocacy by indigenous groups, scholars, and organizations responding to perceived shortcomings in earlier data governance models after events like the Human Genome Project controversies and policy shifts in agencies such as the National Science Foundation. Influences include declarations and workshops hosted by bodies such as the United Nations Educational, Scientific and Cultural Organization and convenings at universities like Harvard University and University of British Columbia. Milestones include agreements adopted in forums associated with World Health Organization research ethics consultations and regional accords in the Pacific Islands Forum and Arctic Council contexts. Contributors include scholars and institutions engaged with projects funded by foundations such as the Wellcome Trust and the Bill & Melinda Gates Foundation.
Core components emphasize community authority, data governance, responsibility, and ethical engagement that foreground collective benefit and cultural integrity. Key elements are governance arrangements akin to protocols used in projects affiliated with Smithsonian Institution, consent frameworks similar to models debated at International Council for Science meetings, benefit-sharing mechanisms resembling provisions in the Nagoya Protocol, and accountability measures drawing on standards championed by bodies like the International Organization for Standardization. Operational tools often mirror practices developed by repositories such as GenBank and archives at institutions like the Library of Congress.
Applications span health research collaborations involving centers like Johns Hopkins University and Karolinska Institutet, environmental monitoring projects linked to Greenpeace initiatives, cultural heritage digitization in museums such as the British Museum, and biodiversity studies coordinated with agencies like the Convention on Biological Diversity. Use cases include community-led research programs in regions represented by organizations like the Assembly of First Nations and capacity-building projects supported by the World Health Organization regional offices. Institutional adoption occurs at universities including University of Oxford and University of Melbourne and within consortia such as the Global Alliance for Genomics and Health.
Best practices recommend co-creation of governance instruments, transparent agreements modeled after templates used by institutions like Massachusetts Institute of Technology and Stanford University, and training programs reminiscent of curricula from Harvard Medical School and University of Toronto. Implementation steps commonly involve memorandum of understanding templates influenced by legal scholarship from faculties at Yale University and Columbia University, community advisory boards similar to mechanisms used by Centers for Disease Control and Prevention, and monitoring frameworks drawing on indicators employed by United Nations Development Programme. Technical systems are often deployed using infrastructures such as those maintained by Amazon Web Services or European Organization for Nuclear Research.
Critiques highlight potential tensions with data-sharing imperatives promoted by initiatives like the Human Cell Atlas and legal obligations under instruments such as national statutes in United States and European Union law. Scholars affiliated with think tanks like Brookings Institution and universities including University of Chicago note challenges in operationalizing collective authority, disputes over jurisdiction exemplified by cases before courts such as the Supreme Court of Canada, and resource constraints described in reports by organizations like International Monetary Fund. Debates engage interlocutors from advocacy groups such as Survival International and industry stakeholders including multinational corporations headquartered in cities like San Francisco and London.
Legal and ethical issues involve alignment with international human rights instruments like the International Covenant on Civil and Political Rights and sectoral regulations such as statutes enforced by agencies like the European Commission and national regulators in India and Brazil. Ethical oversight frequently involves institutional review boards patterned after models at University College London and compliance regimes reminiscent of frameworks used by pharmaceutical regulators such as the U.S. Food and Drug Administration. Negotiations over intellectual property and benefit-sharing engage patent offices including the United States Patent and Trademark Office and multilateral negotiations at venues such as the Convention on Biological Diversity meetings.
Category:Data governance