Skip to main content
Video
Create Clip
Add To List
Share

Communicating the value of PIDs and metadata, What's in it for me, what's in it for you

Filter
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.
Understand the lineage, usage, and value propositions for investing in better, more robust and interoperable metadata. How to address needs of different stakeholders for a new metadata scheme. Establish a narrative for cross-stakerholder value propositions: publishers, librarians, platforms, researchers and supervisors, other key commmunicators, funders, policy makers, etc. Should metadata be considered a "product" with associated staff?
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?