scholze goportis 4-11-14
TRANSCRIPT
KIT-BIBLIOTHEK
KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholz-Gemeinschaft
Informationsinfrastrukturen - wie geht es weiter? Frank Scholze GoportisWorkCamp Bremen, 4.11.2014
Data Driven Science
KIT-Bibliothek
2 4.11.2014
dder
Quelle: Geoffrey Boulton, Talk at Open Science Days Berlin, 14.10.2014 Jisc (2012) Activity Data: Delivering benefits from the data deluge
dd
KIT-Bibliothek
3 4.11.2014
Reproduzierbarkeit
KIT-Bibliothek
4 4.11.2014
Glaubwürdigkeit
KIT-Bibliothek
5 4.11.2014
Crowd Sourcing Science
“Its like driving a car whilst normal research is like pushing it” (Tim Gowers) Überschneidungen mit Citizen Science
KIT-Bibliothek
6 4.11.2014
Science 2.0
KIT-Bibliothek
7 4.11.2014 http://commons.wikimedia.org/wiki/File:Current_vs_emerging_methods_of_science_in_terms_of_pathways.png
Open Science
“Open science is the idea that scientific knowledge of all kinds should be openly shared as early as is practical in the discovery process.” Michael Nielsen
KIT-Bibliothek
8 4.11.2014 Quelle: http://openscienceasap.org/open-science/
KIT-Bibliothek
9 4.11.2014 Quelle: Geoffrey Boulton, Talk at Open Science Days Berlin, 14.10.2014
ICSU - Open Science Declaration The scientific record should be:
free of financial barriers for any researcher to contribute to; free of financial barriers for any user to access immediately on publication; made available without restriction on reuse for any purpose, subject to proper attribution; quality-assured and published in a timely manner; archived and made available in perpetuity.
Empfehlungen Datensupplemente zu Textpublikationen zitierbar machen Offene Lizenzierung von Forschungsdaten, um die Nachnutzung zu erleichtern
KIT-Bibliothek 10 4.11.2014 http://www.icsu.org/general-assembly/news/ICSU%20Report%20on%20Open%20Access.pdf
Open science is more than disclosure
For effective communication, replication and repurposing we need intelligent openness Data and meta-data must be:
Accessible Intelligible Assessable Re-usable
Only when these four criteria are fulfilled are data properly open. But, intelligent openness must be audience sensitive.
Open data to whom and for what?
KIT-Bibliothek
11 4.11.2014 The Royal Society. (2012). Science as an open enterprise. http://royalsociety.org/uploadedFiles/Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE.pdf
Outside in 1. User builds workflow around
library services
2. Towards a centered network presence
3. Locally assemble externally acquired colls
4. Discovery happens in the library
5. Expertise hidden
6. Configure space around collections
Inside out 1. Library services built around
user workflows
2. Towards a decentered network presence
3. Engage with creation, management, use and sharing of all information resources
4. Discovery happens elsewhere
5. Expertise visible
6. Configure space around engagement
Quelle: Lorcan Dempsey: The Inside Out Library Redux, University of Melbourne, 11 April 2013 4.11.2014 KIT-Bibliothek
12
Der wissenschaftliche Wertschöpfungsprozess
KIT-Bibliothek
Learning Environments Learning Management Systems
Submission and Review
Grant Application
Research Networks Research Environments
Text and Data Mining
4.11.2014 13
Reference Management Systems
Resource Discovery Systems
Publication and Preprint Repositories
Enhanced PDF Research Data Repositories
CRIS
Text Processing Systems
Research Tools Methods and Experiments
Text Processing Systems
MOOCs Credit and Impact
Publisher Plattforms
Wouter Haak Elsevier, VP Product
Strategy LIBER, Riga, 2014
Workflow is the new content
4.11.2014 KIT-Bibliothek
14
Research Operating System
4.11.2014 KIT-Bibliothek
15
Wie geht es weiter?
Konkretisierung Konzeptionell technisch organisatorisch kulturell
Rollen und Markt: Clusterbildung; den richtigen Rahmen finden Struktur: Bottom up – top down Nachfrageorientierung statt Angebotsorientierung
KIT-Bibliothek
16 4.11.2014
Der wissenschaftliche Wertschöpfungsprozess
KIT-Bibliothek
Learning Environments Learning Management Systems
Submission and Review
Grant Application
Research Networks Research Environments
Text and Data Mining
4.11.2014 17
Reference Management Systems
Resource Discovery Systems
Publication and Preprint Repositories
Enhanced PDF Research Data Repositories
CRIS
Text Processing Systems
Research Tools Methods and Experiments
Text Processing Systems
MOOCs Credit and Impact
Publisher Plattforms
Lizenzen
Open Access
Forschungsdaten
Wer stark ist muss auch gut sein
KIT-Bibliothek
18 4.11.2014