PROCES OF DATA MANAGEMENT AT NIOO-KNAW  Marianne van der Heijden April 25, 2010
Research data <ul><li>Lab notebooks = files from instruments </li></ul><ul><li>Graphics, videos </li></ul><ul><li>Models, ...
 
Building a framework <ul><li>Together with researcher </li></ul><ul><li>Contact persons per department </li></ul><ul><li>H...
Step-by-Step Approach <ul><li>Inventory of data </li></ul><ul><li>Structuring the data files </li></ul><ul><ul><li>Trainin...
Motivating and Explaining <ul><li>Benefits of data archiving </li></ul><ul><li>Recognition from data publishing </li></ul>...
Data life cycle
Ease of Use <ul><li>Each format dedicated handling </li></ul><ul><li>Integrate archiving with workflow steps </li></ul><ul...
 
NIOO DATA PORTAL <ul><li>In Cooperation with VLIZ </li></ul>
Take home thoughts <ul><li>Technology is facilitating, not prescribing </li></ul><ul><li>Motivation is essential </li></ul...
More information <ul><li>http://data.nioo.knaw.nl </li></ul><ul><li>[email_address] </li></ul><ul><li>http://www.slideshar...
Upcoming SlideShare
Loading in …5
×

Dataarchiving

4,319 views

Published on

Proces of data management,
Lightning talk Emtacl10

Published in: Education
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
4,319
On SlideShare
0
From Embeds
0
Number of Embeds
46
Actions
Shares
0
Downloads
1
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Dataarchiving

  1. 1. PROCES OF DATA MANAGEMENT AT NIOO-KNAW Marianne van der Heijden April 25, 2010
  2. 2. Research data <ul><li>Lab notebooks = files from instruments </li></ul><ul><li>Graphics, videos </li></ul><ul><li>Models, samples, PCR, Micro array </li></ul><ul><li>Experimental & monitoring data </li></ul><ul><li>Raw data & analyses </li></ul><ul><li>Publications & follow ups </li></ul>
  3. 4. Building a framework <ul><li>Together with researcher </li></ul><ul><li>Contact persons per department </li></ul><ul><li>Hosting ICT environment </li></ul><ul><li>Discovery and archiving system </li></ul>
  4. 5. Step-by-Step Approach <ul><li>Inventory of data </li></ul><ul><li>Structuring the data files </li></ul><ul><ul><li>Training and checklist to start earlier with structered data </li></ul></ul><ul><li>Constructing datasets </li></ul><ul><ul><li>Unity of files </li></ul></ul><ul><li>Archiving the datasets </li></ul><ul><li>Publishing the Metadata for discovery </li></ul>
  5. 6. Motivating and Explaining <ul><li>Benefits of data archiving </li></ul><ul><li>Recognition from data publishing </li></ul><ul><li>Demands from publishers and financiers </li></ul><ul><li>NIOODATA wiki </li></ul><ul><li>Data day as a joint data archiving exercise </li></ul>
  6. 7. Data life cycle
  7. 8. Ease of Use <ul><li>Each format dedicated handling </li></ul><ul><li>Integrate archiving with workflow steps </li></ul><ul><li>Selection criteria </li></ul><ul><li>Interface Design with Lots of Defaults </li></ul><ul><li>Default suggestions in stead of fixed standardisation </li></ul>
  8. 10. NIOO DATA PORTAL <ul><li>In Cooperation with VLIZ </li></ul>
  9. 11. Take home thoughts <ul><li>Technology is facilitating, not prescribing </li></ul><ul><li>Motivation is essential </li></ul><ul><li>Resolutions in close contact with researcher </li></ul><ul><li>Start as early as possible in data life cycle process </li></ul>
  10. 12. More information <ul><li>http://data.nioo.knaw.nl </li></ul><ul><li>[email_address] </li></ul><ul><li>http://www.slideshare.net/mheyden </li></ul>

×