”databibliotekaren kommer” · fremtiden er nu “in the good old days a programmer would write...
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”Databibliotekaren kommer”
Oplæg v. Jeannette Ekstrøm,
Specialkonsulent/bibliotekar, DTU Bibliotek ([email protected])
Temadag @ Dokk1 d. 6/11 2018
Datadannelse I : Datavisualisering på biblioteket
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Fremtiden er nu
“In the good old days
a programmer would write a program,
a user would use the program,
a statistician would analyze the data that the user produced with the
program,
and a librarian would archive the report that the statistician created by
analyzing the data.
Those days are gone. The reason we now see lots of job advertisements for
“data scientist” is that there is a pressing need for interdisciplinary bridge
builders who understand all of the above:
the Internet, databases, analytics, visualization, and data curation.
https://ischool.syr.edu/infospace/2012/07/16/data-science-whats-in-it-for-the-new-librarian/
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Vi tror på, at Databibliotekaren kommer..
Svendsen, M., Bøgh Pedersen, K., Ekstrøm, J., & Wildgaard, L.
E. (2017). Databibliotekaren kommer. Revy,
40(1), 24.
http://ej.lib.cbs.dk/index.php/revy/article/view/5280/5710
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Mit oplæg vil komme omkring følgende:
Den kontekst, som fag-, forsknings- og uddannelses-
bibliotekerne agere i
De nye tendenser og krav, som opstår
De kompetenceudviklingsbehov som er nødvendige
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Bibliotekaren Jeannette
Credit: Pixabay
Formel uddannelse1990-1994 ( Bibliotekar D.B. )
2007-2010 ( Master i interaktiv brugeradfærd & Informationsformiding )
Arbejdspladser1993-1995 ( 20 timer pr. uge i Vejdirektoratets Arkiv )
1995- ( 37 timer+ på DTU Bibliotek )
Faglige tillidshverv1996-2001, 2006-2009( aktiv i Statsgruppens bestyrelse/BF)
2009-2018 ( Bestyrelsesmedlem af FLIP´D/DFFU )
2017-2019 ( Formand for Data Science Faggruppen/BF)
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DTU Bibliotek understøtter og supporterer
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Support for
forskere og administrative enheder
Varetager Central Forskningsregistrering i DTU ORBIT
Bibliometri
Open Access håndtering
ORCID ( Open Researcher and Contributor ID )
Krav fra forskningsfonde, herunder EU politikker
Hjælp til adgang til information og viden (licenser, systemer, søgning)
Inkl. Text/Datamining
Sparring omkring synlighed af forskning ( herunder Sociale medier )
Copyright & licenser
DATA MANAGEMENT og Data Management planer
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Tilbud til studerende
Studiemiljø, DTU H4CKLab, Medialab
Undervisning og integreret i faglige kurser
DTU Findit
Referencehåndtering (Mendeley, BibTeX/LaTeX, Overleaf)
Book en bibliotekar
Hjælp til adgang til data, information og viden
(licenser, systemer, søgning)
Inkl. Text/Datamining, formidling af nye værktøjer
Copyright & licenser
Data-håndtering og adgang, herunder egne DTU Smart Library data
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DTU Findit, DTU ORBIT, DTUbasen, DTU Data..
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Adgang medfører også nye spørgsmålDTU Bibliotek & adgang til data
Ønske om ”Textmining på egne data”
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DTU Smart Library Data
“- open to DTU students, teachers, researchers and
partners.
The vision of DTU Smart Library is to create an "indoor
living lab", where students and researchers can develop,
test and present smart technologies. At the same time
they have access to analyse the collected data to carry
out both qualitative and quantitative studies.”
http://www.bibliotek.dtu.dk/english/servicemenu/visit/smart_library
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DTU Data & Data Management support
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Bibliometrics, h-index, Co-authorships
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Helpdesk spørgsmål kræver viden & indsigt
Kilde: https://shirl0207.wordpress.com/2016/09/23/new-job-title-data-science-librarian/
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En vigtig kompetence er,
at kende ”sine data og datagrundlag”
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Når nye support opgaver & behov opstår
Adgang til data (åbne repositories)
Rensning af datasæt & ”messy data”(excel,
OpenRefine..)
Deling af data (Git, Github)
Visualisering af data (Tableau, Gephi, Python,,)
Datamanagement og FAIR data
Kendskab til værktøjer & metoder (validering)
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Kompetenceudvikling er traditionelt…
INF – Institut for Informationsstudier v. KU ( tidl. IVA/biblioteksskolen )
SDU - Informationsvidenskab, it og interaktionsdesign
DBC, DEIC, DEFF, IDA, DM & BF
- samt
Konferencer og temadage
Projekter, videndeling og in-house træning
Webinar, elæring, MOOCS,
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… de nye spørgsmål kræver lidt mere
Hjælp til sammenligning af 6 faglige tss og de respektive
citationsmønstre
Vejledning om adgang til fuldtekst mhp at
Textmine/Datamine – men format var ikke brugbart
Spørgsmål om, reel forskel mellem to faglige databaser -
Web of Science and Scopus
Rensning af output fra litteratur-review
Strukturering og organisering af søgeresultater til projekt
(excel), inkl. vejledning omkring Textmining
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DST4L Workshops kom som sendt fra..
http://www.altbibl.io/dtu/ - 2015http://www.dst4l.info - 2016
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DST4L var et unikt koncept til læring
- nye kompetencer og ny viden
- 3 workshop dag
- Max 40 deltagere
- Ansøgning for at komme i betragtning
- Hand-on træning, ikke bare teori
- Fokus på Data Science methoder ( cleaning, sharing,
visualizing)
Teaching librarians to be data scientist - 2013
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Kilde: https://rauli.cbs.dk/index.php/revy/article/view/4976
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…. I DFFU biblioteksverden har vi delt
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Kompetencerne blev anvendt nyttigt www.dst4l.info er udarbejdet i GitHub
https://github.com/JeannetteE/dst4l
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http://blogs.lse.ac.uk/impactofsocialsciences/2016/12/14/the-research-librarian-of-the-future-data-scientist-and-co-investigator/
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Invitationer fra internationale aktører
1. 2nd EDISON Champions Conference, Madrid 15.-16. marts 2017
2. Data Science in Libraries workshop, Pittsburgh 16.-17. maj 2017
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Invitation til at afholde workshops
https://jeannettee.github.io/UppsalaWorkshop/homepage.html
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Data science er bedst som teamwork
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BFs´Faggruppe med fokus på
Data Science (tools, læring, videndeling)
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Data Science Faggruppen har afholdt
En hel undervisningsdag m. Python ( på DTU )
Introduktion til Github & Atom.io ( på INF )
Gå hjem møde m. praktisk omkring ”File Cleaning and organizing
Data”, samt introduktion til Watson Analytics ( hos Devoteam )
Jypyter notebook workshop ( på KU SAMF )
3 timers workshop m. ”bibliometri, dataforståelse/analyse,
visualisering” (på INF )
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Medlemskab er for alle BF´ere
Men også andre som arbejder i biblioteker og som har interesse i
emnet ( og er medlem af en anden faglig organisation )
Medlemskab er 20,- kr. pr måned
Registrering er via BF og email til [email protected]
Kontaktpersoner er:
Jeannette Ekstrøm, formand
Hazel Engelsmann, kasserer
Lorna Wildgaard, sekretær
Samt Mikael Elbæk, Michael Svendsen, Nicolaj Winter
Og Simon og Alina (begge stud. )
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Inkl. øget visualisering af
vores fag & faggruppe
Kilde:
http://bf.dk/FagmagasinetPerspektiv/Bladet/2018/Perspekti
v%209/TemaDTUsDataLibrariansAngriberDataFraAlleVinkler
Kilde: https://pro.ing.dk/datatech/artikel/bibliotekarer-
traener-data-science-logisk-forlaengelse-af-vores-
opgaver-821
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DST4L output skabte opmærksomhed
On the job training & i konkrete opgaver
Projektdeltagelse
Konferencer, temadage, netværk, videndeling
Formel videreuddannelse ( kompetencemidler )
Fritid og egen interesse i videreudvikling
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DEFF støttet projekt centreret om
Data Visualiseringhttp://libguides.sdu.dk/roi-av
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DEFF støttet projekt om Open Access og
APC (article processing charge)
Også et 2 årigt projekt – med
fokus på håndtering af Open
Access i forskningsbibliotekerne
Afsluttes m. større temadag d.
6/12
https://github.com/enemydown-dk/oam_dk_workshop
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.. Samt DEFF projekt om netop
Kompetenceudvikling Open Science & Digital
Literacy
Fokus er på udvikling
af Open Science
kompetencer, og
bygger bl.a. videre
på tidligere projekter
og opgaver som:
Datamanagement i
praksis
http://ebooks.au.dk/
index.php/aul/catal
og/book/243
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Kompetencerne er vigtige, for fortsat at være interessant
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Læring tager tid & der skal afsættes tid –eller opgaven skal indtænkes i jobbet
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Planlagt af
Jeannette Ekstrøm Senior Information [email protected]
Twitter: @JEkstroem
På tegnebrættet:
15 minutes of
Data & Data Science Tools
Skills development in house
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Modul 1)
Introduction to DATA Skills needed
Hands-on support
- Tools- Methods- Teaching- Knowledge on OS- Admin tasks- Digital Literacy- …
DMP support
- Tools- Methods- Policy / mandates- Principles (FAIR)- Collaboration- Network- …
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Modul 11)
Cases – incl. 15 minutes hands-on :
Search in Scopus for David Bowie
-> Use advanced search
((TITLE-ABS-KEY(david w/4 bowie) AND NOT AUTHOR-NAME(bowie))
Look at the result, visualize via Scopus to be familiar with the result
Download the result as .csv file
Clean in Excel if needed
Open VosViewer – run the DAVID BOWIE file into the system, tweek it and see the final result for a “scientific view on David Bowie”
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Bibliotekerne/biblioteksmedarbejderen
udgør ”the human infrastructure”
https://youtu.be/ocAEL8I9NG8
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Læring hele livet
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Tak for invitationen
Mail: [email protected]: @JEkstroemLinkedIN: dk.linkedin.com/in/jeannetteekstroem/Google+ [email protected]+ Mendeley+ Zotero+ ResearchGate+ Academia.edu+ Loops+ GitHub+ Figshare+ Slideshare.net+ Impact story+ Altmetrics+ Kudos+ Wordpress+ ORCID 0000-0003-2791-4219