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Open Science and Open Data: COAR (Confederation of Open Access Repositories)’s the Next Generation Institutional Repositories

Yıl 2025, Cilt: 8 Sayı: 1, 25 - 46, 30.06.2025
https://doi.org/10.33721/by.1554995

Öz

This study examines the reflections of evolving data-information-science production habits, transitioning from open access academic outputs to open data, on the concept of institutional repositories. It focuses on the analysis, research, and review prepared collaboratively by the "Metadata Quality" working group under Confederation of Open Access Repositories (COAR), an advocate of open access, which identifies the essential features required for "Next-Generation Institutional Repositories." Within the framework of the standards known as the FAIR principles in the literature, the study explores how large-scale and complex open data and research outputs can be managed. It then examines data management systems tailored to academic disciplines where these principles can be applied, providing examples of possible implementations. In this context, the study investigates the changing cyber-infrastructure needs that support not only institutional repositories offering open access to academic publications but also research data storage under concepts like e-Science and Science 2.0. It evaluates AI-powered computing ecosystems, which are evolving into dataverse platforms and are designed to process large-scale data during research data production. The alignment of these ecosystems with specific FAIR standards is analyzed.Additionally, the discussions within the scope of COAR Metadata Quality working group activities are summarized, not only from the perspective of librarianship and institutional repositories but also from the viewpoint of researchers' potential needs; recommendations are provided for next-generation institutional repositories.

Kaynakça

  • Bauch, A., Adamczyk, I., Buczek, P. vd. (2011). openBIS: A Flexible Framework for Managing and Analyzing Complex Data in Biology Research. BMC Bioinformatics, 12, 468. doi.org/10.1186/1471-2105-12-468
  • Bell, G., Hey, T. ve Szalay, A. (2009). Computer Science: Beyond the Data Deluge. Science, 323(5919), 1297-1298. doi:10.1126/science.1170411
  • Berman, H. M, vd. (2000). The Protein Data Bank. Nucleic Acids Res, 28, 235–242.
  • Berman, H., Henrick, K., ve Nakamura, H. (2003). Announcing the Worldwide Protein Data Bank. Nat. Struct. Biol. 10, 980–980.
  • Bishop, D. ve Eoin Gill. (2020). Robert Boyle on the Importance of Reporting and Replicating Experiments. The Royal Society of Medicine, 133(2), 79-83. doi.org/10.1177/0141076820902625
  • Blixrud, J., ve Rambo, N. (2007). Agenda for Developing E-Science in Research Libraries Final Report and Recommendations to the Scholarly Communication Steering Committee, the Public Policies Affecting Research Libraries Steering Committee, and the Research, Teaching, and Learning Steering Committee. https://www.arl.org/wp-content/uploads/2007/12/escience-report-final-2007.pdf
  • Bohle, Shannon. (2013, 12 Haziran). What is e-Science and how should it be Managed? Scientific and Medical Libraries. Scilogs. Nature and Spektrum der Wissenshaft. http://www.scilogs.com/scientific_and_medical_libraries/what-is-e-science-and-how-should-it-be-managed/
  • Borgman, Christine L. (2004, 9 Kasım). E-science, Digital Libraries, and Knowledge Communities. Public Lecture, Dept. of Computer and Information Sciences. University of Oxford. https://www.oii.ox.ac.uk/news-events/events/e-science-digital-libraries-and-knowledge-communities/
  • Bourne, P. E., Berman, H. M., McMahon B., Watenpaugh, K. D., Westbrook, J.D., Fitzgerald, Paula M.D. (1997). The Macromolecular Crystallographic Information File (mmCIF). Meth. Enzym, 277, 571–590. doi.org/10.1016/S0076-6879(97)77032-0
  • Burton, O. ve Appleford, S. (2009). Cyberinfrastructure for the Humanities, Arts, and Social Sciences. EDUCAUSE Center for Applied Research: Research Bulletin, 1(25), 1-12. https://library.educause.edu/resources/2009/1/cyberinfrastructure-for-the-humanities-arts-and-social-sciences
  • Chivers, T. (2018, 1 Ekim). How Big Data is Changing Science. Mosaic. Welcome.org. https://mosaicscience.com/story/how-big-data-changing-science-algorithms-research-genomics/
  • COAR. (2020). COAR Next Generation Repositories Technologies. https://ngr.coar-repositories.org/
  • CoreTrustSeal Board (CTS). (2019). Core Trustworthy Data Repositories Requirements. CoreTrustSEAL.
  • Crosas, M. (2011, Şubat). The Dataverse Network®: An Open-source Application for Sharing, Discovering and Preserving Data. D-Lib Mag, 17(1), 2. http://www.dlib.org/dlib/january11/crosas/01crosas.html
  • Dahl, M. (2018). Inside-out Library Services. Challenging the “Jacks of all Trades but Masters of None” Librarian Syndrome, Advances in Library Administration and Organization, Vol. 39 içinde (s. 15-34). Emerald Publishing Limited. doi.org/10.1108/S0732-067120180000039003
  • Danish e-infrastructure Cooperation (DeiC). (2014). Big Data in Social Sciences: The Experiment: SensibleDTU- What does a Social Network Look in Real Time? Escience vidensportal. https://sunelehmann.com/sensibledtu-publications/
  • Danmark Forsknings- og Innovationsstyrelsen (2011). Dansk Roadmap for Forskningsinfrastruktur 2011. https://ufm.dk/publikationer/2011/dansk-roadmap-for-forskningsinfrastruktur-2011
  • Dempsey, L. (2013). The Emergence of the Collective Collection: Analyzing Aggregate Print Library Holdings. L. Dempsey, B. Lavoie, C. Malpas, L.S. Connaway, ve R.C. Schonfeld (Ed.), Understanding the Collective Collection: Towards a system-wide Perspective on Library Print Collections içinde (s. 1–8). OCLC Research. http://www.oclc.org/content/dam/research/publications/library/2013/2013-09intro.pdf
  • Dempsey, L. (2015a). A New Information Management Landscape. N. Allen, ve B. Wilson (Yay. Haz.). New Roles for the Road Ahead: Essays Commissioned for ACRL’s 75th anniversary içinde (s. 50–55). ACRL.
  • Dempsey, L. (2015b). Intra-institutional Boundaries: New Contexts of Collaboration on Campus. N. Allen ve B. Wilson (Ed.), New Roles for the Road Ahead: Essays Commissioned for ACRL’s 75th anniversary içinde (s. 80–82). ACRL https://www.ala.org/sites/default/files/acrl/content/publications/whitepapers/new_roles_75th.pdf Dempsey, L., Malpas C. ve Lavoie B. (2014). Collection Directions: The Evolution of Library Collections and Collecting. Libraries and the Academy, 14(3), 393–423. doi.org/10.1353/pla.2014.0013
  • European Science Foundation. (2018). Plan S. https://www.coalition-s.org/addendum-to-the-coalition-s-guidance-on-the-implementation-of-plan-s/principles-and-implementation/
  • Fenner, M., vd. (2019). A Data Citation Roadmap for Scholarly Data Repositories. Scientific Data, 6(1), 1-9.
  • Force11. (2019). Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing Version b1.0. https://www.force11.org/fairprinciples
  • González-Beltrán, A., Maguire, E., Sansone, S.-A. ve Rocca-Serra, P. (2014). linkedISA: Semantic Representation of ISA-Tab Experimental Metadata. BMC Bioinformatics 15 (Suppl 14), S4, 1-9. doi.org/10.1186/1471-2105-15-S14-S4.
  • Gonzalez-Beltran, A., vd. (2015). From Peer-reviewed to Peer-reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics. Plos One, 10(7), 1-20. doi.org/10.1371/journal.pone.0127612
  • Groth, P.T., Loizou, A., Gray, A.J.G., Goble, C., Harland ve L. Pettifer, S. (2014). Api-centric Linked Data Integration: The Open Phacts Discovery Platform Case Study. Ssrn Electronic Journal, 29, 12-18. doi.org/10.1016/j.websem.2014.03.003
  • Harland, L. ve Open PHACTS Consortium. (2012). A Semantic Knowledge Infrastructure for Public and Commercial Drug Discovery Research. Lecture Notes in Computer Science, 7603, 1–7. doi.org/10.1007/978-3-642-33876-2_1.
  • Hey, T. ve Hey, J. (2006). E-science and its Implications for the Library Community. Library Hi Tech. 24(4), 515–528. doi: 10.1108/07378830610715383.
  • Hey, T., vd. (2009). The Fourth Paradigm: Data-intensive Scientific Discovery. Redmond, Wash: Microsoft Research.
  • Hilbert, M. (2015). e-Science for Digital Development: “ICT4ICT4D”. Development Informatics, Working Paper Series, The University of Manchester. https://hummedia.manchester.ac.uk/institutes/gdi/publications/workingpapers/di/di-wp60.pdf
  • Kobro-Flatmoen, A. (2012). NextGen VOICES: Results. Science Magazine, 335(6064), 36-38. doi:10.1126/science.335.6064.36
  • Leeuw, L. de. (2019). Data Seal of Approval (DSA). DANS. doi:10.17026/dans-28z-njxq
  • Lin, D., Crabtree, J., Dillo, I. vd. (2020). The TRUST Principles for Digital Repositories. Science Data, 7(144), 1-5. doi: 10.1038/s41597-020-0486-7
  • MacCallum, C. (2019, 19 Ekim). Data Repository Selection: Criteria that matter. Open Science. https://osf.io/m2bce
  • Martin, E. R. ve Kafel, D. (2010). Response to Neil Rambo's editorial: E-science and Biomedical Libraries. University of Massachusetts Medical School. Library Publications and Presentations. Paper 106(98), 528. doi: 10.3163/1536-5050.98.1.003
  • Moe-Behrens, G. (2012, 6 Ocak). NextGen Speaks. Science Magazine 335, 6064, 36-38. /doi/10.1126/science.335.6064.36
  • Mokran, M. ve Parsons, M. (2014). Learning from the International Polar Year to Build the Future of Polar Data Management. Data Science Journal, 13(15), 88-93. doi.org/10.5334/dsj.IFPDA-15
  • PID services (DOI, ePIC). (2024). Swedish National Data Service. https://snd.se/en/describe-and-share-data/pid-services-doi-epic
  • Pitkin, K. (2011, 25 Kasım). IDCC11 Preview: An interview with Victoria Stodden. DCC. Dcc.ac.uk. 2 Eylül 2022 tarihinde https://www.dcc.ac.uk/news/idcc11-preview-interview-victoria-stodden adresinden erişilmiştir.
  • Rose, P.W., vd. (2015). The RCSB Protein Data Bank: Views of Structural Biology for Basic and Applied Research and Education. Nucleic Acids Research, 42(D1), D345-D356.
  • Seneca, T. (2010). Web Archive Discovery: Memento Implementation Meeting. California Digital Library. https://cdlib.org/cdlinfo/2010/02/04/web-archive-discovery-memento-implementation-meeting/
  • Syed, J., vd. (2007). Supporting Scientific Discovery Processes in Discovery Net. Concurrency and Computation: Practice and Experience, 19(2), 167-179. doi:10.1002/cpe.1049
  • Tanenbaum, Andrew S. ve Steen, Maarten van. (2002). Distributed Systems: Principles and Paradigms. Upper Saddle River, NJ: Pearson Prentice Hall.
  • UniProt Consortium. (2015). UniProt: A Hub for Protein Information. Nucleic Acids Research, 43, 204-212. doi:10.1093/nar/gku989
  • Wilkin, J. P. (2015). Meanings of the Library Today. A. Crawford (Yay. Haz.) The meaning of the Library: A Cultural History içinde (s. 236-253). Princeton and Oxford: Princeton University Press. doi.org/10.1515/9781400865741-014
  • Wilkinson, M. D., vd. (2016). The FAIR Guiding Principles for Scientific Data Management and Stewardship. Science Data, 3(160018), 1-9. doi.org/10.1038/sdata.2016.18
  • Witt, M. ve Carlson, J. R. (2007). Conducting a Data Interview. Purdue University. Libraries Research Publications. Paper 81. https://docs.lib.purdue.edu/lib_research/81
  • Wolstencroft, K., vd. (2015). SEEK: A Systems Biology Data and Model Management Platform. BMC Syst Biol, 9(33), 1-12. doi: 10.1186/s12918-015-0174-y.

Açık Bilim ve Açık Veri: COAR’ın (Açık Erişim Bilgi Depoları Konfederasyonu) Gelecek Nesil Kurumsal Bilgi Depoları

Yıl 2025, Cilt: 8 Sayı: 1, 25 - 46, 30.06.2025
https://doi.org/10.33721/by.1554995

Öz

Bu çalışmada, açık erişim akademik çıktılardan açık veriye doğru evrilen veri-bilgi-bilim üretim alışkanlıklarının kurumsal bilgi deposu kavramına yansımaları incelenirken, açık erişimin savunucusu olan Açık Erişim Bilgi Depoları Konfederasyonu (Confederation of Open Access Repositories - COAR) çatısı altında faaliyet gösteren “Üstveri Kalitesi” Çalışma Grubunun hazırladığı inceleme, araştırma ve analizler doğrultusunda, “Yeni Nesil Kurumsal Bilgi Depoları”nda bulunması gereken nitelikler ortaya konmuştur. Literatüre FAIR ilkeleri olarak geçen bu standartlar çerçevesinde büyük ölçekli ve karmaşık açık verinin ve araştırma çıktılarının nasıl yönetilebileceğinin incelenmesinin ardından, bu ilkelerin uygulanabileceği akademik disiplinlere yönelik veri yönetim sistemleri incelenmiş, olası uygulamalar için örnekler verilmiştir. Bu çerçevede akademik yayın çıktılarının açık erişimle sunulduğu kurumsal bilgi depolarının yanı sıra e-bilim ve Bilim 2.0 gibi kavramlarla araştırma verisinin de depolandığı değişen siber altyapı ihtiyaçları incelenmiş, bu ihtiyaçları karşılayabilecek, özellikle araştırma verisi üretilirken aynı zamanda bu tür büyük ölçekli veriyi işlemeyi öngören ve ‘Dataverse’e evirilen yapay zekâ ile güçlendirilmiş bilişim ekosistemleri değerlendirilerek bunların hangi FAIR standardını karşıladığı analiz edilmiştir. Ayrıca, COAR Üstveri Kalitesi Çalışma Grubunun faaliyetleri kapsamında yürütülen çalışmalarda, yalnızca kütüphanecilik ve kurumsal bilgi depoları açısından değil, araştırmacı perspektifinden doğabilecek olası ihtiyaçlara ilişkin öngörüler de özetlenmiş; bu doğrultuda yeni nesil kurumsal bilgi depoları için çeşitli önerilerde bulunulmuştur.

Teşekkür

Bu çalışmaya esin kaynağı olan “COAR Üst veri Kalitesi” çalışma grubundaki Kathleen Shearer (COAR), İlkay Holt (COAR), Paul Walk (COAR, DCMI), Jochen Schirrwagen (Bielefeld Üniversitesi, Almanya), Tomoko Kataoka (COAR, Japonya), Paula Moura (UMinho, Portekiz), Sarah L. Shreeves, (Arizona Üniversitesi Kütüphaneleri, ABD), John Huck (Üstveri kütüphanecisi, Alberta Üniversitesi, Kanada) ve Sara Gonzales’e (Galter Sağlık Bilimleri Kütüphanesi, ABD), Ricardo Saraiva, Minho Üniversitesi, Portekiz) değerli görüş ve kaynak paylaşımlarına, ortak çalışma motivasyonlarına ve farklı bakış açılarının katkısına müteşekkir olduğumu belirtmek isterim.

Kaynakça

  • Bauch, A., Adamczyk, I., Buczek, P. vd. (2011). openBIS: A Flexible Framework for Managing and Analyzing Complex Data in Biology Research. BMC Bioinformatics, 12, 468. doi.org/10.1186/1471-2105-12-468
  • Bell, G., Hey, T. ve Szalay, A. (2009). Computer Science: Beyond the Data Deluge. Science, 323(5919), 1297-1298. doi:10.1126/science.1170411
  • Berman, H. M, vd. (2000). The Protein Data Bank. Nucleic Acids Res, 28, 235–242.
  • Berman, H., Henrick, K., ve Nakamura, H. (2003). Announcing the Worldwide Protein Data Bank. Nat. Struct. Biol. 10, 980–980.
  • Bishop, D. ve Eoin Gill. (2020). Robert Boyle on the Importance of Reporting and Replicating Experiments. The Royal Society of Medicine, 133(2), 79-83. doi.org/10.1177/0141076820902625
  • Blixrud, J., ve Rambo, N. (2007). Agenda for Developing E-Science in Research Libraries Final Report and Recommendations to the Scholarly Communication Steering Committee, the Public Policies Affecting Research Libraries Steering Committee, and the Research, Teaching, and Learning Steering Committee. https://www.arl.org/wp-content/uploads/2007/12/escience-report-final-2007.pdf
  • Bohle, Shannon. (2013, 12 Haziran). What is e-Science and how should it be Managed? Scientific and Medical Libraries. Scilogs. Nature and Spektrum der Wissenshaft. http://www.scilogs.com/scientific_and_medical_libraries/what-is-e-science-and-how-should-it-be-managed/
  • Borgman, Christine L. (2004, 9 Kasım). E-science, Digital Libraries, and Knowledge Communities. Public Lecture, Dept. of Computer and Information Sciences. University of Oxford. https://www.oii.ox.ac.uk/news-events/events/e-science-digital-libraries-and-knowledge-communities/
  • Bourne, P. E., Berman, H. M., McMahon B., Watenpaugh, K. D., Westbrook, J.D., Fitzgerald, Paula M.D. (1997). The Macromolecular Crystallographic Information File (mmCIF). Meth. Enzym, 277, 571–590. doi.org/10.1016/S0076-6879(97)77032-0
  • Burton, O. ve Appleford, S. (2009). Cyberinfrastructure for the Humanities, Arts, and Social Sciences. EDUCAUSE Center for Applied Research: Research Bulletin, 1(25), 1-12. https://library.educause.edu/resources/2009/1/cyberinfrastructure-for-the-humanities-arts-and-social-sciences
  • Chivers, T. (2018, 1 Ekim). How Big Data is Changing Science. Mosaic. Welcome.org. https://mosaicscience.com/story/how-big-data-changing-science-algorithms-research-genomics/
  • COAR. (2020). COAR Next Generation Repositories Technologies. https://ngr.coar-repositories.org/
  • CoreTrustSeal Board (CTS). (2019). Core Trustworthy Data Repositories Requirements. CoreTrustSEAL.
  • Crosas, M. (2011, Şubat). The Dataverse Network®: An Open-source Application for Sharing, Discovering and Preserving Data. D-Lib Mag, 17(1), 2. http://www.dlib.org/dlib/january11/crosas/01crosas.html
  • Dahl, M. (2018). Inside-out Library Services. Challenging the “Jacks of all Trades but Masters of None” Librarian Syndrome, Advances in Library Administration and Organization, Vol. 39 içinde (s. 15-34). Emerald Publishing Limited. doi.org/10.1108/S0732-067120180000039003
  • Danish e-infrastructure Cooperation (DeiC). (2014). Big Data in Social Sciences: The Experiment: SensibleDTU- What does a Social Network Look in Real Time? Escience vidensportal. https://sunelehmann.com/sensibledtu-publications/
  • Danmark Forsknings- og Innovationsstyrelsen (2011). Dansk Roadmap for Forskningsinfrastruktur 2011. https://ufm.dk/publikationer/2011/dansk-roadmap-for-forskningsinfrastruktur-2011
  • Dempsey, L. (2013). The Emergence of the Collective Collection: Analyzing Aggregate Print Library Holdings. L. Dempsey, B. Lavoie, C. Malpas, L.S. Connaway, ve R.C. Schonfeld (Ed.), Understanding the Collective Collection: Towards a system-wide Perspective on Library Print Collections içinde (s. 1–8). OCLC Research. http://www.oclc.org/content/dam/research/publications/library/2013/2013-09intro.pdf
  • Dempsey, L. (2015a). A New Information Management Landscape. N. Allen, ve B. Wilson (Yay. Haz.). New Roles for the Road Ahead: Essays Commissioned for ACRL’s 75th anniversary içinde (s. 50–55). ACRL.
  • Dempsey, L. (2015b). Intra-institutional Boundaries: New Contexts of Collaboration on Campus. N. Allen ve B. Wilson (Ed.), New Roles for the Road Ahead: Essays Commissioned for ACRL’s 75th anniversary içinde (s. 80–82). ACRL https://www.ala.org/sites/default/files/acrl/content/publications/whitepapers/new_roles_75th.pdf Dempsey, L., Malpas C. ve Lavoie B. (2014). Collection Directions: The Evolution of Library Collections and Collecting. Libraries and the Academy, 14(3), 393–423. doi.org/10.1353/pla.2014.0013
  • European Science Foundation. (2018). Plan S. https://www.coalition-s.org/addendum-to-the-coalition-s-guidance-on-the-implementation-of-plan-s/principles-and-implementation/
  • Fenner, M., vd. (2019). A Data Citation Roadmap for Scholarly Data Repositories. Scientific Data, 6(1), 1-9.
  • Force11. (2019). Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing Version b1.0. https://www.force11.org/fairprinciples
  • González-Beltrán, A., Maguire, E., Sansone, S.-A. ve Rocca-Serra, P. (2014). linkedISA: Semantic Representation of ISA-Tab Experimental Metadata. BMC Bioinformatics 15 (Suppl 14), S4, 1-9. doi.org/10.1186/1471-2105-15-S14-S4.
  • Gonzalez-Beltran, A., vd. (2015). From Peer-reviewed to Peer-reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics. Plos One, 10(7), 1-20. doi.org/10.1371/journal.pone.0127612
  • Groth, P.T., Loizou, A., Gray, A.J.G., Goble, C., Harland ve L. Pettifer, S. (2014). Api-centric Linked Data Integration: The Open Phacts Discovery Platform Case Study. Ssrn Electronic Journal, 29, 12-18. doi.org/10.1016/j.websem.2014.03.003
  • Harland, L. ve Open PHACTS Consortium. (2012). A Semantic Knowledge Infrastructure for Public and Commercial Drug Discovery Research. Lecture Notes in Computer Science, 7603, 1–7. doi.org/10.1007/978-3-642-33876-2_1.
  • Hey, T. ve Hey, J. (2006). E-science and its Implications for the Library Community. Library Hi Tech. 24(4), 515–528. doi: 10.1108/07378830610715383.
  • Hey, T., vd. (2009). The Fourth Paradigm: Data-intensive Scientific Discovery. Redmond, Wash: Microsoft Research.
  • Hilbert, M. (2015). e-Science for Digital Development: “ICT4ICT4D”. Development Informatics, Working Paper Series, The University of Manchester. https://hummedia.manchester.ac.uk/institutes/gdi/publications/workingpapers/di/di-wp60.pdf
  • Kobro-Flatmoen, A. (2012). NextGen VOICES: Results. Science Magazine, 335(6064), 36-38. doi:10.1126/science.335.6064.36
  • Leeuw, L. de. (2019). Data Seal of Approval (DSA). DANS. doi:10.17026/dans-28z-njxq
  • Lin, D., Crabtree, J., Dillo, I. vd. (2020). The TRUST Principles for Digital Repositories. Science Data, 7(144), 1-5. doi: 10.1038/s41597-020-0486-7
  • MacCallum, C. (2019, 19 Ekim). Data Repository Selection: Criteria that matter. Open Science. https://osf.io/m2bce
  • Martin, E. R. ve Kafel, D. (2010). Response to Neil Rambo's editorial: E-science and Biomedical Libraries. University of Massachusetts Medical School. Library Publications and Presentations. Paper 106(98), 528. doi: 10.3163/1536-5050.98.1.003
  • Moe-Behrens, G. (2012, 6 Ocak). NextGen Speaks. Science Magazine 335, 6064, 36-38. /doi/10.1126/science.335.6064.36
  • Mokran, M. ve Parsons, M. (2014). Learning from the International Polar Year to Build the Future of Polar Data Management. Data Science Journal, 13(15), 88-93. doi.org/10.5334/dsj.IFPDA-15
  • PID services (DOI, ePIC). (2024). Swedish National Data Service. https://snd.se/en/describe-and-share-data/pid-services-doi-epic
  • Pitkin, K. (2011, 25 Kasım). IDCC11 Preview: An interview with Victoria Stodden. DCC. Dcc.ac.uk. 2 Eylül 2022 tarihinde https://www.dcc.ac.uk/news/idcc11-preview-interview-victoria-stodden adresinden erişilmiştir.
  • Rose, P.W., vd. (2015). The RCSB Protein Data Bank: Views of Structural Biology for Basic and Applied Research and Education. Nucleic Acids Research, 42(D1), D345-D356.
  • Seneca, T. (2010). Web Archive Discovery: Memento Implementation Meeting. California Digital Library. https://cdlib.org/cdlinfo/2010/02/04/web-archive-discovery-memento-implementation-meeting/
  • Syed, J., vd. (2007). Supporting Scientific Discovery Processes in Discovery Net. Concurrency and Computation: Practice and Experience, 19(2), 167-179. doi:10.1002/cpe.1049
  • Tanenbaum, Andrew S. ve Steen, Maarten van. (2002). Distributed Systems: Principles and Paradigms. Upper Saddle River, NJ: Pearson Prentice Hall.
  • UniProt Consortium. (2015). UniProt: A Hub for Protein Information. Nucleic Acids Research, 43, 204-212. doi:10.1093/nar/gku989
  • Wilkin, J. P. (2015). Meanings of the Library Today. A. Crawford (Yay. Haz.) The meaning of the Library: A Cultural History içinde (s. 236-253). Princeton and Oxford: Princeton University Press. doi.org/10.1515/9781400865741-014
  • Wilkinson, M. D., vd. (2016). The FAIR Guiding Principles for Scientific Data Management and Stewardship. Science Data, 3(160018), 1-9. doi.org/10.1038/sdata.2016.18
  • Witt, M. ve Carlson, J. R. (2007). Conducting a Data Interview. Purdue University. Libraries Research Publications. Paper 81. https://docs.lib.purdue.edu/lib_research/81
  • Wolstencroft, K., vd. (2015). SEEK: A Systems Biology Data and Model Management Platform. BMC Syst Biol, 9(33), 1-12. doi: 10.1186/s12918-015-0174-y.
Toplam 48 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Açık Erişim, Bilgi Yönetişimi, Politika ve Etik
Bölüm İnceleme Makalesi
Yazarlar

Senem Acar 0000-0001-9374-9018

Erken Görünüm Tarihi 24 Haziran 2025
Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 23 Eylül 2024
Kabul Tarihi 7 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 1

Kaynak Göster

APA Acar, S. (2025). Açık Bilim ve Açık Veri: COAR’ın (Açık Erişim Bilgi Depoları Konfederasyonu) Gelecek Nesil Kurumsal Bilgi Depoları. Bilgi Yönetimi, 8(1), 25-46. https://doi.org/10.33721/by.1554995

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