This document discusses the data skills required of librarians and presents a matrix of factors that influence these skills, including the librarian's role, the data lifecycle services provided by the library, and the research intensity of the institution. It notes the wide range of possible data-related skills and acknowledges that no individual can master all of them, emphasizing the need for librarians to work as a team with complementary skills. The document also examines questions around how librarians can become more involved in data science and what their future roles may be in supporting data-intensive research.
This presentation was provided by Sophia Lafferty-Hess of Duke University, during part one of the NISO two-part webinar "Labor and Capacity for Research Data Management," which was held on March 11, 2020.
This presentation was provided by Tim McGeary of Duke University during the NISO virtual conference, Open Data Projects, held on Wednesday, June 13, 2018.
PAARL's 1st Marina G. Dayrit Lecture Series held at UP's Melchor Hall, 5F, Proctor & Gamble Audiovisual Hall, College of Engineering, on 3 March 2017, with Albert Anthony D. Gavino of Smart Communications Inc. as resource speaker on the topic "Using Big Data to Enhance Library Services"
RDAP 15: Research Data Integration in the Purdue LibrariesASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Lisa Zilinski, Data Specialist, Carnegie Mellon University
Amy Barton, Metadata Specialist, Purdue
Tao Zhang, Digital User Experience Specialist, Purdue
Line Pouchard, Computational Science Information Specialist, Purdue
Pete E. Pascuzzi, Molecular Biosciences Information Specialist, Purdue
This presentation was provided by Sophia Lafferty-Hess of Duke University, during part one of the NISO two-part webinar "Labor and Capacity for Research Data Management," which was held on March 11, 2020.
This presentation was provided by Tim McGeary of Duke University during the NISO virtual conference, Open Data Projects, held on Wednesday, June 13, 2018.
PAARL's 1st Marina G. Dayrit Lecture Series held at UP's Melchor Hall, 5F, Proctor & Gamble Audiovisual Hall, College of Engineering, on 3 March 2017, with Albert Anthony D. Gavino of Smart Communications Inc. as resource speaker on the topic "Using Big Data to Enhance Library Services"
RDAP 15: Research Data Integration in the Purdue LibrariesASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Lisa Zilinski, Data Specialist, Carnegie Mellon University
Amy Barton, Metadata Specialist, Purdue
Tao Zhang, Digital User Experience Specialist, Purdue
Line Pouchard, Computational Science Information Specialist, Purdue
Pete E. Pascuzzi, Molecular Biosciences Information Specialist, Purdue
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
An introduction to Research Data Management and Data Management Planning presented at the University of the West of England on Wednesday 9th July 2014.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2015-02-09. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
About the Webinar
Big data is being collected at a rate that is surpassing traditional analytical methods due to the constantly expanding ways in which data can be created and mined. Faculty in all disciplines are increasingly creating and/or incorporating big data into their research and institutions are creating repositories and other tools to manage it all. There are many challenge to effectively manage and curate this data—challenges that are both similar and different to managing document archives. Libraries can and are assuming a key role in making this information more useful, visible, and accessible, such as creating taxonomies, designing metadata schemes, and systematizing retrieval methods.
Our panelists will talk about their experience with big data curation, best practices for research data management, and the tools used by libraries as they take on this evolving role.
Presented at the Northern Ohio Technical Services Librarians' meeting, November 22, 2013. Describes why libraries should move toward a linked data future to enable their resources to be discoverable on the open web, and includes lessons learned from developing the eXtensible Catalog at the University of Rochester.
February 18 2014 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Capacity Building: Leveraging existing library networks to take on research data
Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...ARLGSW
Presentation from the 6th CILIP ARLG-SW Discover Academic Research and Training Support Conference (DARTS6). Dartington Hall, Totnes, Thursday 24th – Friday 25th May 2018
RDAP 15 Local ICPSR Data Curation Workshop Pilot ProjectASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Linda Detterman, Jennifer Doty, Jared Lyle, Amy Pienta, Lizzy Rolando and Mandy Swygart-Hobaugh
Slides | Targeting the librarian’s role in research servicesLibrary_Connect
Slides from the Nov. 8, 2016 Library Connect webinar "Targeting the librarian’s role in research services" with Nina Exner, Amanda Horsman and Mark Reed. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=223121
Slides | Research data literacy and the libraryColleen DeLory
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Sarah Wright, Christian Lauersen and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
An introduction to Research Data Management and Data Management Planning presented at the University of the West of England on Wednesday 9th July 2014.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2015-02-09. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
About the Webinar
Big data is being collected at a rate that is surpassing traditional analytical methods due to the constantly expanding ways in which data can be created and mined. Faculty in all disciplines are increasingly creating and/or incorporating big data into their research and institutions are creating repositories and other tools to manage it all. There are many challenge to effectively manage and curate this data—challenges that are both similar and different to managing document archives. Libraries can and are assuming a key role in making this information more useful, visible, and accessible, such as creating taxonomies, designing metadata schemes, and systematizing retrieval methods.
Our panelists will talk about their experience with big data curation, best practices for research data management, and the tools used by libraries as they take on this evolving role.
Presented at the Northern Ohio Technical Services Librarians' meeting, November 22, 2013. Describes why libraries should move toward a linked data future to enable their resources to be discoverable on the open web, and includes lessons learned from developing the eXtensible Catalog at the University of Rochester.
February 18 2014 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Capacity Building: Leveraging existing library networks to take on research data
Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...ARLGSW
Presentation from the 6th CILIP ARLG-SW Discover Academic Research and Training Support Conference (DARTS6). Dartington Hall, Totnes, Thursday 24th – Friday 25th May 2018
RDAP 15 Local ICPSR Data Curation Workshop Pilot ProjectASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Linda Detterman, Jennifer Doty, Jared Lyle, Amy Pienta, Lizzy Rolando and Mandy Swygart-Hobaugh
Músicos, musicólogos e amantes de nossa música
podem discordar de uma coisa ou outra. Afinal, como diria
a vizinha gorda e patusca de Nélson Rodrigues, gosto não
se discute. Mas, se há um nome acima das preferências
individuais, este é Pixinguinha.
an introductory course for Librarians on using Big Data and Data Science applications on the field of Library Science. The course is a 2 hour course module for basic fundamentals of applying DS work.
Relationship Building and Advocacy Across the CampusUCD Library
Presentation given by Julia Barrett, Research Services Manager at University College Dublin Library, to the ANLTC Seminar: Supporting the Activities of Your Research Community - Issues and Initiatives, held on December 3, 2014 at the Royal Irish Academy, Dublin, Ireland.
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
Flying solo: data librarians working outside (traditional) librariesJane Frazier
I used these slides for my portion of the "Flying Solo" ANDS webinar:
Did you know there are data librarians who work outside of (traditional) libraries? For some, being a data librarian means leaving the relative comfort of the library behind and ‘flying solo’ into unchartered territory. These are new and demanding roles that require a steep learning curve with minimal support. In this webinar, three data librarians working outside of libraries will share their experience of going it alone, reflecting on these challenging yet rewarding roles that push the boundaries of librarianship and open new opportunities for the profession.
Siobhann McCafferty is based at QUT’s Institute for Future Environments in Brisbane and is the Research Data Coordinator for the National Agricultural Nitrous Oxide Research Program (NANORP). She is embedded in the Healthy Ecosystems and Environmental Management group at IFE and works with researchers from across Australia to store program data and make it discoverable and reusable.
Jane Frazier is a Data Librarian at ANDS. She has previously worked in the University of North Carolina Music Library cataloging 20th century American vocal sheet music, as curatorial assistant at the Dryad digital repository, and at the UNC Metadata Research Center exploring automatic subject indexing processes for Dryad. From 2013 to 2014 Jane led the research and development of a new web-based cataloging system for collectible items with Stanley Gibbons, one of the world’s oldest stamp collecting firms.
-- Michelle Teis has more than 25 years’ industry experience, senior consultant
Michelle Teis is an enterprise information management expert specialising in content, data and knowledge management, and information privacy. http://www.glentworth.com/about-us/our-key-people/michelle-teis/
This presentation was provided by Diane C. Mirvis of The University of Bridgeport, during the NISO event, "Library Resource Management Systems: New Challenges, New Opportunities," held October 8 - 9, 2009.
Slides | Research data literacy and the libraryLibrary_Connect
Slides from the Dec. 8, 2016 Library Connect webinar "Research data literacy and the library" with Christian Lauersen, Sarah J. Wright and Anita de Waard. See the full webinar at: http://libraryconnect.elsevier.com/library-connect-webinars?commid=226043
Keynote presentation at the Lita Forum, Albuquerque. Research and learning practices are enacted in technology rich environments. New tools support digital workflows and the volume and variety of research and learning outputs are growing. Libraries are working to support these new environments and to connect their services to them.
This presentation was provided by Chris Erdmann of Library Carpentries and by Judy Ruttenberg of ARL during the NISO virtual conference, Open Data Projects, held on Wednesday, June 13, 2018.
Mending the Gap between Library's Electronic and Print Collections in ILS and...New York University
This presentation proposed a conceptual model to model user's info seeking behavior in the context of their experience and use the model to improve library's collections and services using St. John's University Libraries for case study. It reviewed Web content technologies offered by IT vendors, and compared what offered in content technologies by Library IT vendors. To fill in the gap, It developed the preliminary proposal for 1) required data architecture in SOA framework, 2) desired features for managing library print and electronic content on library's website, 3) adoption of Semantic Web standards and technologies for managing library resources, and 4) the case study scenario with sample conceptual model.
Innovative services across the research lifecyle v1.5 20180209SusanMRob
Research Lifecycyle: Innovative Library Support for researchers presented by Emma McLean & Jacinta Byrne (University of New South Wales) at the Research Support Community Day 2018
Linked semantic platforms for social infrastructure – ARC LIEF project 2018-2019 presented by Amanda Lawrence (Analysis & Policy Observatory) at the Research Support Community Day 2018
Where does eResearch support fit into the uni library research support model, is research data management enough? presented by Ingrid Mason (AARNet) at the Research Support Community Day 2018
Supporting researchers supporting teachers presented by
Pru Mitchell (Australian Council for Educational Research) at the Research Support Community Day 2018
Lisa Kruesi presentation_kruesi_condronRSCD18SusanMRob
Biosciences librarians’ expert search service at The University of Melbourne: something old is new again presented by Lisa Kruesi (The University of Melbourne) at the Research Support Community Day 2018
Dawn Mc loughlin_researchsupportcommunityday2018SusanMRob
Murdoch Research aims for United Nation Sustainability Goals presented by Dawn McLoughlin (Murdoch University) at the Research Support Community Day 2018
A practical approach to predatory publishing presented by
Naomi Mullumby & Sarah Charing (The University of Melbourne) at the Research Support Community Day 2018
Research support starts at home: Deakin University Liaison Librarian training and development presented by Dr. Nicola Ivory (Deakin University) at the Research Support Community Day 2018
Wikipedia editing was presented by
Dr Julia Kuehns (Liaison Librarian Research – Arts, University of Melbourne) and Dr Thomas Shafee (Postdoctoral Fellow, La Trobe Institute for Molecular Science) and Dr Pru Mitchell at the Research Support Community Day 2018
This informal workshop introduced the basics of Wikipedia editing.
The Conversation as a Research Engagement Tool presented by
Charis Palmer (Deputy Editor, The Conversation) at the Research Support Community Day 2018
The Conversation is as a research engagement tool which is becoming increasingly important for researchers to disseminate their ideas on topical issues to a broad audience. Researchers are routinely approached for media interviews following posts of their work. Charis Palmer outlined the reach of The Conversation and some brief tips on pitching ideas that librarians can pass on to our researchers.
Are New Digital Literacies Skills Neededrscd2018SusanMRob
Remarrying research and collection services around access to corpora and text mining, are new technical literacy skills needed? Was presented by Ingrid Mason (Deployment Strategist, AARNet) at the Research Support Community Day 2018
Clarivate as the Citation Provider for ERA presented by
Jean-Francois Desvignes (Solution Consultant, Scientific and Academic Research, Clarivate Analytics) at the Research Support Community Day 2018
Clarivate Analytics was selected in 2017 to become the Citation provider by the Australian Research Council (ARC) for the 2018 Excellence in Research for Australia (ERA) evaluation. We will first highlight the data from the Web of Science that was made available by our team to Australian Higher Education Providers (HEP) for ERA. Then, we will focus on the solutions developed my Clarivate Analytics to support the Australian HEPs when preparing and analysing their data and prior to the submission to the Australian Research Council.
Presented at the Research Support Community Day by Natasha Simons (Program Leader for Skills, Policy and Resources, Australian National Data Service)
An increasing number of scholarly publishers and journals are implementing policies and procedures that require published articles to be accompanied by the underlying research data. These policies are an important part of the shift toward reproducible research and have been shown to influence researchers’ willingness to share research data to varying extents. However journal data availability policies are highly idiosyncratic, vary in strength from encouraging to mandating data sharing, and are often difficult to interpret. This makes it challenging for researchers to comply, editors to introduce and research support staff to assist. This presentation examined why and how more scholarly publishers/journals are introducing data availability policies and explore the differences in journal data sharing policies, referring to examples. It outlined the challenges of current data policies, what is expected of various stakeholders, and reflect on efforts in Australia to engage stakeholders in conversation to improve data policies including 2017 Social Sciences and Health and Medical roundtables. It concluded with an update on international collaborations that are helping to facilitate wider adoption of clear, consistent policies for publishing research data.
Presented by Dr Thomas Shafee (Postdoctoral Fellow, La Trobe Institute for Molecular Science – LIMS) at the Research Support Community Day 2018
Wikimedia Australia undertakes outreach activities, develops resources and builds systems that empower and engage people to collect, share and promote free cultural works. Partnerships have included towns such as Fremantle, W.A. and organisations such as the Australian War Memorial. Dr Thomas Shafee gave an overview of Wikimedia Australia and outlined recent and forthcoming activities.
Presetned by Stephanie Bradbury (QUT) at the Research Support Community Day 2018
The bibliometric competency model was released in 2017 by a team of UK and German librarians. The competencies were developed to support bibliometric practitioners worldwide and ensure they are equipped with the skills required to do their work well and responsibly.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
0x01 - Newton's Third Law: Static vs. Dynamic Abusers
Rscd 2017 bo f data lifecycle data skills for libs
1. Research Data Lifecycle: Data Skills for
Librarians
Kathryn Unsworth (ANDS)
RSCD - BoF
13 February 2017
2. What data skills do librarians require?
There’s a matrix of possibilities
- it’s complex!
https://etherpad.openstack.org/p/RSCD_2017_Data_lifecycle_&_libs
3. Elements of the data skills for librarians matrix
• Current librarian role - where and at what level it connects with
research/researchers – data-related scope
• Future aspirations of the librarian – data-related scope
• Aspects of the Data Lifecycle the Library provides services for
• RDM maturity of the institution (dictates services provided)
• Research intensity of the institution (dictates services provided)
= data skills and knowledge required
4. Where and at what level you connect with your
research communities:
● Based mainly in the library?
● Embedded in research teams/labs?
● Hot desking it out of faculty spaces?
● Roving in a Research Commons (not only the Library)?
● Undertaking research support services (e.g. data
consultations, data collection/collating, data cleaning) out
in the (research) field?
● A combination?
5. Which parts of the Data Lifecycle your Library actively
supports with services:
● Data seeking for analysis
● Data documentation
(metadata)
● Data citation
● Data storage and
backups
● Data sharing
● Data archiving and
preservation
● Data and teaching
● Data cleaning
● Data visualisation
● DMP tools and advice
+ any intended new services
6. Your role - what proportion is research & data related?
Hybrid or specialist role?
Librarian
Liaison Librarian
Metadata Librarian
Subject Librarian
Research Librarian
Scholarly Communications Librarian
Repository Manager
Repository Officer
Data Librarian
Research Data Management – Librarian
Data Science Librarian
and more…
Same title, but
different
responsibilities
at University X
vs University Y
7. Discussion: Are there other
elements that we can add to
the matrix?
https://etherpad.openstack.org/p/RSCD_2017_Data_lifecycle_&_libs
8. How do librarian roles and
data skills and knowledge
intersect with the Data
Lifecycle?
14. Domain knowledge – best practice (current
research methods and data models)
Connecting researchers to research / research
data
“Map knowledge/data gaps”
“Identify emerging disciplinary cross-overs”
“Assist in the formulation and refinement of
innovative research questions”
“Digital tools to automate Literature reviews –
Meta, CHORUS system?”
“Applying network analysis to visualise trends
in emerging research”
“Tools to map key research terms in articles
– where are the terms appearing?”
“Text and data mining techniques for refining
research questions”
15. Project planning
• project management (Prince, Agile, Waterfall,
Critical Path, etc.)
• Business analysis – requirements gathering
• Problem solving, troubleshooting
Collaboration tools/platforms (OSF, Confluence,
Syncplicity, Google Apps)
RDMPs (DMPtool, DMPonline)
• Project governance – roles and responsibilities
• Data standards
• Data organisation – file formats, file naming
conventions, versioning, etc.
• Ethics and privacy – consent for sharing
• Copyright and other IP, Licensing
• Data storage
• Data security
Funder and publisher requirements for
data
Digital literacies training
16. Data search/discovery:
• Discovery tools and services
• Locate existing data
• Full text search
• Text and data mining
• Web APIs to discover, extract, enrich existing data
Data organisation
Data collection methods – generating new data,
transforming legacy data, sharing/exchanging data,
purchasing data
Metadata capture and creation tools and services
Metadata standards:
• Data description
• Controlled vocabularies
• Metadata modeling
• Interoperability
Patten recognition
Collaboration tools and platforms
Databases, including relational
Version tracking
Reference/citation management
Storage options for working, master, raw,
sensitive and big data
Data appraisal and selection
Licensing – data access/sharing agreements
Data security
17. Storage options for active data, collaborative research,
data and metadata flows
Data security
Access rules
Data cleaning
Data aggregation
Machine learning/algorithms – graphical modeling
Scripting/coding
Data mapping across data sources
Data transforms, e.g. raster to shape files
Lab notebooks (eLNs)
Data screening and preparation
Iterative data changes prompted by analysis
Preparing data for long-term preservation
and sharing
Process documentation – process
diagrams, workflows, tools and automation
18. Data visualisation
Storage options for active data
Data security, including access controls
Data manipulation
Text and data mining
Scripting/coding
Machine learning
Analysis: Statistical, Spatial, Image
Analysis documentation
Modeling
Interpretation
Database programming (querying DBs)
Problem solving/troubleshooting
Analytical thinking
19. Why share data?
Author/Creator rights
Data catalogs and portals
Sensitive data
Access rules
Metadata standards
• Descriptive metadata
• Controlled vocabularies
Persistent identifiers (DOIs, ORCIDs)
Data citation
Data licensing
Performance/Impact metrics
Programming – front-end – editing web page source
code, incorporate forms, multimedia
Contributor badges
Communication
Storytelling
Data visualisation
Client engagement
Advocacy
20. Persistent identifiers (DOIs, ORCIDs)
Using tools to identify file formats
Conversion to access and preservation
formats/mediums
Batch/automation
Data decoding
Data warehousing
Data archives and repositories
Long-term archival storage for final-state data
Metadata standards
• Descriptive metadata for discovery
• Provenance and other administrative
metadata
Disposition – disposing of obsolete or
redundant data, or archival retention
21. Licensing – legal framework around how data
can be (re)used
Reuse documentation (code, simulations,
models, protocols, workflows, etc.)
Impact and assessment metrics (Altmetrics,
PlumX, ImpactStory)
Data for teaching
Data citation – how and why to cite data
22. Whole of lifecycle activities
• Describing and contextualising data (metadata,
documentation, associated research outputs)
• Managing data quality
• Storage, Back ups and Security
23. Are you kidding me?
Who has the capacity to
attain all these skills?
24. Teams, not unicorns
“Team-building is another important tactic
in tackling the skills gap. There is little point
looking for the great, single all-rounder
who can do everything – the mythical
unicorn. Even if such people existed (and
they may) they would be too expensive as
they can walk into any job. It is much more
profitable to look across the skill-set
required and build a team to fulfil it.”
Read more at: http://www.techweekeurope.co.uk/e-management/skills/bridging-
data-science-skills-gap-requires-team-effort-160818#msRDJHrzR8QUhLHa.99
Copyrighted Image - Data Science Roles
https://libraryconnect.elsevier.com/articles/learning-
about-research-data-lab-pitt-ischool
25. So what’s the minimum data skills requirement for librarians?
Is there an optimal level? Maybe even an aspirational level?
Are we talking about all librarians or only those with data-
related responsibilities?
As an academic librarian is it ok to just be “data aware” or do
we all need to be “data savvy” or maybe something in
between?
Discussion…
https://etherpad.openstack.org/p/RSCD_2017_Data_lifecycle_&_libs
26. What is a Data Savvy Librarian?
“...librarians need increasingly to become data-savvy themselves and to have a
deeper understanding of the research data lifecycle in order to enhance the
services they offer.”
“...the main requirement is a basic familiarity with how various software tools can
transform data.” And, “...to learn the basics of some of the latest tools for extracting,
analyzing, storing, and visualizing data.”
“...working directly with messy, unavailable or difficult to-access data it is possible to
have a more complete vision of the different issues the researchers have to face
when working with data.”
Barbaro, A. (2016). On the importance of being a data-savvy librarian. Journal of EAHIL, 12(1):24-27
28. The research librarian of the future:
data scientist and co-investigator
There remains something of a disconnect between how
research librarians themselves see their role and its responsibilities and
how these are viewed by their faculty colleagues. Jeannette Ekstrøm,
Mikael Elbaek, Chris Erdmann and Ivo Grigorov imagine how the
research librarian of the future might work, utilising new data science and
digital skills to drive more collaborative and open scholarship. Arguably
this future is already upon us but institutions must implement a
structured approach to developing librarians’ skills and services to fully
realise the benefits.
29. Core duties versus ‘stretch’ services
The research librarian community is not in consensus as to what exactly
are the emerging roles of future librarians in a rapidly evolving digital
scholarship environment (see #libraryfutures). Added to the polarised
views within that community, a recent survey shows there is also a clear
gap in perception and expectations between librarians and faculty staff.
While librarians surveyed agreed that “information literacy” and “aiding
students one-on-one in conducting research” are primary and essential
roles, they viewed “supporting faculty research” as less important than
their faculty colleagues. So does this present an opportunity in the digital
age?
30.
31.
32. The Role of Librarians in Data Science: A Call to Action
“All of this hesitancy on the part of librarians to participate in the data
movement is happening at a time when we have seen an increase in the money
and involvement in data initiatives from a range of other professions and
academic disciplines (e.g. computer science, informatics, etc.). For me, this is an
especially critical moment for librarians to talk about data and actively plan and
implement our strategies collectively.
I want to share with you a proposed framework for the librarian’s role in
data science. I come to the discussion with the fear that data science is an
evolving academic discipline being defined solely by computer science and that
the field of library and information science is being left behind. I would argue
that the principles and values of the field of library and information science that
form the core of our profession need to be part of this new discipline and that we
can add unique perspectives and roles.”
(Opinion piece by Elaine R. Martin, 2015)
33. Data Science – is there a future where you see
librarians filling the DS skills gap?
What’s your next data skills challenge?
https://etherpad.openstack.org/p/RSCD_2017_Data_lifecycle_&_libs
Discussion points:
34. Acknowledgements
Barbaro, A. (2016). On the importance of being a data-savvy librarian. Journal of EAHIL, 12(1):24-27
https://www.researchgate.net/publication/299394172_On_the_importance_of_being_a_data-savvy_librarian
Ekstrom, J., Elbeaek, M., Erdmann, C., & Grigorov, I. (2016). The research librarian of the future: data scientist and co-investigator,
The Impact Blog LSE. http://blogs.lse.ac.uk/impactofsocialsciences/2016/12/14/the-research-librarian-of-the-future-data-scientist-
and-co-investigator/
Faundeen, J.L., Burley, T.E., Carlino, J.A., Govoni, D.L., Henkel, H.S., Holl, S.L., Hutchison, V.B., Martín, Elizabeth, Montgomery,
E.T., Ladino, C.C., Tessler, Steven, and Zolly, L.S., 2013, The United States Geological Survey Science Data Lifecycle Model: U.S.
Geological Survey Open-File Report 2013–1265, 4 p., https://doi.org/10.3133/ofr20131265.
Macrae, D. (2015). Why Bridging The Data Science Skills Gap Requires A Team Effort. TechWeek Europe.
http://www.techweekeurope.co.uk/e-management/skills/bridging-data-science-skills-gap-requires-team-effort-
160818#25vTmJ6UpzSfI20F.99
Martin, Elaine R. (2015). "The Role of Librarians in Data Science: A Call to Action." Journal of eScience Librarianship 4(2): e1092.
http://dx.doi.org/10.7191/jeslib.2015.1092
Library Journal Research. (2015). Bridging the Librarian-Faculty Gap in the Academic Library. Gale Cengage Learning.
https://s3.amazonaws.com/WebVault/surveys/LJ_AcademicLibrarySurvey2015_results.pdf
University of Central Florida Libraries Research Lifecycle Committee. (2012). The research lifecycle at UCF [Online Graphic].
Retrieved (February, 13, 2017) from library.ucf.edu/ScholarlyCommunication/ResearchLifecycleUCF.php
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