GLAM School/bn
This is the home of the GLAM School project. The page is in progress, and will continue to evolve over 2022.
GLAM School is a project by AvoinGLAM to chart out, uncover, and support practices that help GLAM professionals, GLAM-Wiki volunteers, Open GLAM advocates and others to be more empowered to contribute to Wikimedia and other open projects.
In 2022 we are conducting surveys, chats, and interviews across organizations and networks involved in providing Open Access to cultural heritage. Based on the responses, we try to bring ideas into action while we go.
আলোচনার সারসংক্ষেপ
The interview and the survey will focus on a selection of topics. Each topic will be summarized on their individual page. All of the topics can additionally be commented on their respective discussion pages.
সাক্ষাতকার / আলাপ
We will conduct at least 15 interviews with different organizations and individuals working with GLAM. It is important that the selection represents a wide geographic, linguistic, and thematic diversity.
Book an interview
If you wish to book an interview, you can fill in your contact information in the survey and we can get started!
Read the interviews
জরিপ
If you wish to take your time responding to the questions, take the survey. You only need to answer the questions you find important, and you can work on your answers until the end of the year 2022.
জরিপের প্রশ্নগুলো পড়ুন ও অনুবাদ করুন
এই পাতায় জরিপের প্রশ্নগুলো তালিকাবদ্ধ করা হয়েছে। আপনি আপনার ভাষায় প্রশ্নগুলো অনুবাদ করার মাধ্যমে জরিপটিকে আপনার ভাষায় স্থানীয়করণ করতে পারেন।
Take the survey
Option 1
গুগল ফর্মে জরিপটি নিন (শুধুমাত্র ইংরেজি ভাষায়) →
Option 2
You can alternatively respond to the survey here on-wiki. Type your username in the box and hit the button. A new page is created for your answers with the translated questions. This works well for languages other than English that have already a lot of the questions translated.
সংজ্ঞা
The terms used in the survey are added to this translatable page.
Recommendations
At the end of 2022, the survey will be frozen, and the results will be aggregated into key recommendations for actions that need broader consensus or better resources.