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National PID strategies and what they mean for the NISO community Recording

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NISO Plus 2023 was a virtual global event which happened around the world on February 14-16, 2023. Building on our track record of engagement and conversation, we brought the same quality of content from 2020-2022 to our 2023 gathering. Dozens of amazing speakers and keynotes from across the globe share their knowledge and expertise on important topics for the information community.
National PID strategies and what they mean for the information community 
This session will provide an overview of current initiatives to develop national approaches to metadata policies, specifically for persistent identifiers and their associated metadata. It will include speakers from three countries that are at different stages of developing their own PID strategies — Australia, Canada, and the UK — who will share the reasons for doing so: the pain points they hope to address, challenges and opportunities they face, and their vision for what a successful national PID strategy will look like.
This presentation was provided by Iain Hrynaszkiewicz of Open Research Solutions during the two-day "NISO Tech Summit: Reflections Upon The Year of Open Science." Day one was held on October 25, 2023.
What constitutes effective project management? Why is it so useful for information professionals to become familiar with and conversant in the processes of project management? This initial overview addresses the benefits and value of project management skills and a context for the rest of the webinar and the discussions that follow. Maureen Adamson will review major approaches from predictive to agile, core concepts, language and terminology as background. We will also review the overall structure of the rest of the webinar, starting with simple projects with clear goals as a foundational understanding, to be followed by more complex projects and situations later in the webinar.
This event will look at bias awareness and the difficulties of appropriately valuing diversity in a work environment. What are the implications for the library in terms of data collection, recruitment practices, and mentoring? How might library leadership encourage applicants from a broad spectrum of cultural backgrounds while avoiding any appearance of double standards? How might technology jobs in the library be made more appealing to a greater range of applicants?
Faced with a highly diverse combination of externally and internally collected data (web visits, gate counter, collection usage, subject analysis, budgets, space use, reference help interactions, etc.), academic libraries have rapidly mastered the value and use of analytics. Whether analyzing prospective subscription packages to determine their value for an institution’s research activities or reviewing usage data drawn from the local digital repository, libraries want to extract meaning from the increasing volume of library data. What does that data look like? How should that data be managed? And in what combinations is that data most enlightening?