Export and manipulate Talis Aspire data
•
1 like•757 views
This document discusses ways to make effective use of data from the Talis Aspire platform. It emphasizes leveraging your data through tools that allow real-time, collaborative workflows. Different approaches can be used as long as they help aggregate minor gains and allow librarians to develop essential skills like proper metadata demarcation. The document encourages reaching out to the Talis community for additional support and feedback.
Recommended
Recommended
More Related Content
Similar to Export and manipulate Talis Aspire data
Similar to Export and manipulate Talis Aspire data (20)
More from Talis
More from Talis (20)
Recently uploaded
Recently uploaded (20)
Export and manipulate Talis Aspire data
- 1. Export and manipulate: Making best use of yourTalis Aspire data Kevin O’Donovan, Library Acquisitions Manager, London School of Economics & Political Science
- 2. Just a little bit of history repeating.
- 3. Pareto sleep? Not quite. But settling down.
- 4. Newly added reading list data one week before term starts.
- 5. Newly added reading list data one week before term starts.
- 6. Aggregation of minor losses through repeated transactions.
- 7. Essential, non-negotiable skill for Librarians.
- 8. Visible, real-time, holistic, collaborative workflow tools.
- 9. The primary benefit of properly demarcated MaterialTypes.
- 10. Different tools & approaches – with the same result?
- 11. The psychological crutch of a skeuomorph.
- 12. Leverage your data, love the process review.
- 13. All I want is… go and get it yourself.
- 14. Reach out to theTalis community.
- 15. Image acknowledgements Non-commercial reuse under Creative Commons licenses 03Watchmaker: https://upload.wikimedia.org/wikipedia/commons/1/18/The_Watchmaker_2.jpg 12 Jar of Coins: https://www.goodfreephotos.com/albums/other-photos/coins-coming-out-of-a-jar.jpg 13 Industrial Robots: https://upload.wikimedia.org/wikipedia/commons/5/5e/KUKA_Industrial_Robots_IR.jpg 16 Shopping List: https://commons.wikimedia.org/wiki/File:Shopping_list_(2098182380).jpg 17 QuestionsAnswers: https://www.pexels.com/photo/advise-answers-arrow-assistance-208464/ 01 flame https://www.pexels.com/photo/man-wearing-welding-helmet-welding-metal-near-gray-brick-wall-1474993/ 02 adult-asleep-bed-935777.jpg https://www.pexels.com/photo/woman-sleeping-935777/ 03 colour overload https://upload.wikimedia.org/wikipedia/commons/f/f9/Color_Overload_%284911180896%29.jpg 04 Sledgehammer https://media.defense.gov/2016/Sep/26/2001640315/-1/-1/0/160924-M-MR863-0276.JPG 05 Excel at Excel https://www.flickr.com/photos/voxpelli/2955905602/sizes/o/ 06 Skeuomorph service https://pxhere.com/en/photo/484683 06William Dickinson 1930s Librarian LSE https://www.flickr.com/photos/lselibrary/4322172454/sizes/o/ 07 Fused Grid District https://upload.wikimedia.org/wikipedia/commons/3/31/FusedGridDistrict.png 08Workshop https://pxhere.com/en/photo/1102067 09 Belt https://upload.wikimedia.org/wikipedia/commons/9/9e/Conveyor_belt_in_a_supermarket_in_Germany.jpg 18 Group hug: https://commons.wikimedia.org/wiki/File:Project_365_Day_131_Group_Hug!_(5711091239).jpg
- 16. Feedback for this presentation - http://bit.ly/KOD-Insight2019