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|a يهدف نشر ومشاركة البيانات البحثية إلى تمكين إعادة استخدامها وفق ا لديناميكيات ممارسي العلم المفتوح، في ممارسات نشر البيانات البحثية هناك ثلاث جهات فاعلة رئيسية: الباحثون والناشرون ومستودعات البيانات، تستكشف هذه الدراسة مستودعات البيانات البحثية العامة، أي المستودعات غير المحددة بموضوع أو بفئة معينة من البيانات أو التي ينحصر استخدامها داخل مؤسسة بعينها حيث أنها مفتوحة للمجالات العلمية كافة ولنشر أي نوع من مجموعات البيانات البحثية، كما حللت هذه الدراسة منهجيات الممارسات الحالية لنشر مجموعات البيانات في هذه المستودعات، وذلك فيما يتعلق بثمانية جوانب رئيسية لنشر البيانات، هي (تنسيق مجموعات البيانات، والتوثيق، والترخيص، وتكاليف النشر، والتحقق من الصحة، والتوافر، وقابلية الاكتشاف والوصول، والاقتباس والاستشهاد) مستخدمة في ذلك كل من المنهج الوصفي التحليلي، ومنهج تحليل المحتوي، ويتضح من هذا التحليل أن مستودعات البيانات البحثية العامة الحالية هي خدمات قابلة للتطبيق لنشر البيانات وتحتاج إلى تطوير وتعزيز ممارساتها لدعمها بشكل أفضل، كما يجب على المستودعات العامة معالجة قضية رئيسة تتعلق بكيفية تحسين المواصفات التي تقدمها المستودعات، مثل التنسيقات التي تدعمها، وإجراءات التحقق المقدمة وإدارة تراخيص البيانات، وذلك للتغلب على القيود المفروضة نتيجة عدم التجانس الشديد لمجموعات البيانات.
|b Publishing and sharing research data aims to enable its reuse according to the dynamics of open science practitioners. In research data publishing practices there are three main actors: researchers, publishers, and data repositories. Its use is limited within a specific institution, as it is open to all scientific fields and to publish any type of research datasets. This study also analyzed the methodologies of current practices for publishing datasets in these repositories, with regard to eight main aspects of data dissemination, namely (coordination of datasets, documentation licensing, publication costs, validation, availability, discoverability and access, citation and citation) using both the descriptive analytical approach and the content analysis approach, and it is clear from this analysis that existing public research data repositories are viable services for data dissemination and need Develop and enhance their practices to better support them, and public repositories must address a key issue of how to improve The specifications offered by repositories, such as the formats they support, the validation procedures provided and the management of data licenses, to overcome limitations imposed by the highly heterogeneous data sets We should point out that the results of this study can help in understanding and exploring public research data repositories, and based on the foregoing, the following can be recommended:
|b 1. Finding a mechanism that enables data users to contribute to data sets and instant interaction between them and data owners through repositories. This interaction may take the form of producing a new copy, enriching content, correcting errors, or reporting their successful and unsuccessful tangible experiences in using data sets to achieve specific. 2. Public repositories do not single-handedly disseminate research data. They are part of an integrated system where diverse actors from researchers, publishers, suppliers… are called upon to make efforts and define and agree on common policies, practices and roles to guide appropriate data dissemination. 3. It is very important that academic libraries play their role in urging scientists to deposit their data sets in research data repositories, while providing full definition of the services that the repository can provide. 4. It is necessary to revise the publishing licenses so that the repositories support publishing different versions of the dataset; Each has a different license, making it as easy as possible to share data. 5. The need to formulate standards for dissemination of research data in agreement with stakeholders including authors, publishers, suppliers and users of data sets, so that the implementation of repository services becomes more controlled. 6. It may be useful to exploit developments resulting from alternative metrics research in developing and implementing mechanisms to check the quality of datasets. 7. In order to better support the dissemination of datasets, repositories should redesign and develop their availability policies, announce them and make them an integral part of the Terms of Service, and perhaps it would be better if they would allocate a dissemination policy at the level of different thematic sectors. 8. Conducting more in-depth studies in the services of discovering and accessing the data sets provided by the repositories; It still requires in depth analysis of the most common discovery patterns across subject areas, and studies to understand the feasibility and effectiveness of metadata and their role in discovering datasets and associated documents. 9. It is essential to develop citation initiatives, practices, and tools that are human-understandable and machine-executable.
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