The New York Public Library Releases Children’s Album, Written and Performed by NYPL Staff (Free to Download)
So cool! Kudos NYPL!
From the NYPL:
Available for free by digital download is NYPL Sings: Songs for Our Children – an interactive album of songs completely imagined, written, and performed by librarians from The New York Public Library.
NYPL Sings: Songs for Our Children contains ten songs that will help children become confident and curious readers through the support of their caregivers. The overall theme of the album is that every adult in a child’s life (parents, relatives, teachers, librarians) can help guide them on their journey to becoming happy, well-adjusted, and eager learners.
The entire album can be downloaded – for free! – directly from our website. Patrons can simply go to nypl.org/sings and download not only the songs but also the accompanying booklet which includes all the lyrics and the crux of each song’s lesson.
We’ve also created two lyric videos that caretakers can play for children! Additionally, branches around the city will be implementing storytimes using the album to inspire children and to teach caregivers how to continue this learning at home.
This album is a product of the NYPL Innovation Project, generously supported by the Charles H. Revson Foundation, which encourages creative and unique ideas to improve programs, services, and processes at NYPL.
Direct to Download: NYPL Sings: Songs for Our Children
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.