Blockchain Tabanlı Bilimsel Veri Yönetimi: Açık Bilim ile Veri Güvenliği Arasındaki Etik Denge

Öz

Bilimsel araştırmaların hızla dijitalleşmesi, veri üretimi, paylaşımı ve arşivleme süreçlerinde güvenlik, şeffaflık ve doğruluk ilkelerini önceleyen yeni bir yönetişimi zorunlu kılmaktadır. Bu çalışma, blockchain teknolojisinin bilimsel veri yönetimine entegrasyonunu kavramsal çerçeve ve etik boyutlarıyla incelemektedir. Odak noktaları; veri sahipliği ve rıza yönetimi, onay/konsensüs mekanizmaları, kayıt zinciri güvenliği, denetim izleri (auditability) ve akademik gözetim süreçleridir. Çalışma ayrıca, açık/kamuya açık ve izinli/kapalı ağ yapılarını, büyük verinin zincire doğrudan yazımı yerine hash tabanlı referans mimarilerini, ölçeksellik ve birlikte çalışabilirlik sınırlamalarını, enerji tüketimi ve sürdürülebilirlik (proof-of-work) sorunlarını ve KVKK/GDPR uyumu bağlamında mahremiyetin korunmasını tartışmaktadır. Bulgular, blockchain’in veri manipülasyonunu azaltma, etik ihlalleri görünür kılma ve güvenilirlik ile izlenebilirliği artırma potansiyeline sahip olduğunu; ancak teknik, hukuki ve kurumsal uyum koşullarının belirleyici olduğunu göstermektedir. Sonuç olarak, standartlaşmış mimariler, etik yönergeler ve çok paydaşlı yönetişimle desteklenen blockchain tabanlı sistemlerin, uzun vadede akademik güven ortamını güçlendirmesi ve bilimsel üretkenliği artırması beklenmektedir.

Anahtar Kelimeler

• Blockchain Bilimsel Veri Araştırma Etiği
• Siber Güvenlik
• Dijitalizasyon ve Etik
• Veri Güvenliği
• Veri Yönetimi
• Açık Bilim

Blockchain-Based Scientific Data Management and Ethical Standards

Öz

The rapid digitalization of scientific research demands a new governance model that prioritizes security, transparency, and accuracy across data production, sharing, and archiving. This study examines the integration of blockchain into scientific data management through a conceptual and ethical lens, focusing on data ownership and consent, consensus mechanisms, ledger security, audit trails, and academic oversight. It discusses open/public versus permissioned networks, the use of hash- based references instead of writing large datasets on-chain, scalability and interoperability constraints, energy consumption and sustainability (proof-of- work), and privacy protection within GDPR/KVKK compliance. Findings indicate that blockchain can reduce data manipulation, surface ethical breaches, and strengthen reliability and traceability, while technical, legal, and institutional alignment remain decisive. In conclusion, standardized architectures, ethical guidelines, and multi-stakeholder governance are expected to enable blockchain- based systems to reinforce academic trust and boost scientific productivity in the long term.

Anahtar Kelimeler

• Blockchain-Based Data Management Ethical Issues and Evaluation
• Research Ethics
• Open Science
• Data Security
• Transparency

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