Library Data Management Services

Library Data Management Services: A Strategic Framework for Development and Implementation

NN/LM MAR Research Data Management Symposium28 April 2014

Keith WebsterDean of University Libraries

Our professional future

The genealogy of the contemporary research

library

The risk of invisibility

The emergence of open science

Our core professional skills

An overview of data management

The policy context

Data management activities

The UQ experience

DM service philosophy

Partnerships

Skills development

The Australian model

Emerging services at CMU

Pu6ng it into prac8ceThe data management impera8ve


The genealogy of the contemporary research library

Where do library clients go?

Specific e-resource

General search engine

Library catalogue

Library building1

18

38

47

13

28

21

37

2003 2012

Search engine

Wikipedia

SNS

Email

Online database

Virtual reference

Library website 0

0

1

1

2

7

83

Where do student start a search? Where do academics begin research?

Perceptions of libraries 2010, OCLC

Faculty study 2012: key insights for libraries and publishers, Ithaka

What is happening in the world is bypassing university libraries

Peter Murray-Rust The scientist’s view JISC Libraries of the future debate, April 2009

“…contact with librarians and informa8on professionals is rare”

“…researchers are generally confident in their [self-‐taught] abili8es.., librarians see them as..rela8vely unsophis8cated”

“…librarians see it as a problem that they are not reaching all researchers with formal training, whereas most researchers don’t think they need it”

• The part that academic librarians should play remains unclear

• Raise awareness of eResearch amongst library staff

• Provide advice on data management to eResearchers

• Data cura8on is vast, complex and requires subject input

• “The bad news is that I’m not sure they understand what goes on in the library other than taking out books.”

Benton Founda8on, 1996

• “User percep8ons nega8vely affect the ability of librarians to meet informa8on needs simply because a profession cannot serve those who do not understand its purpose and exper8se.”

Durrance, 1988

The worst thing about the stereotype is that it impacts on the psyche of librarians who really begin to believe that they don't deserve the kingpin role

US Congress, 2001

• It is likely that the way that researchers publish, assess impact, communicate, and collaborate will change more within the next 20 years than it did in the past 200 years.

http://book.openingscience.org/

http://book.openingscience.org/

• Driven by end-users!• Interdisciplinary knowledge!• Collaborative across sectors!• Transitory research teams!• Accountability (social and

economic) to range of stakeholders!

• Quality control (academic merit, cost effectiveness, economic and social relevance)

(Gibbons [et al], 1994)

• Driven by academic discipline!• Knowledge framed by

disciplinary norms!• Deeply institutionalised!• Accountability to peers!• Scientist is expert!• Quality control by peer

review and contribution to discipline

Mode 1 Mode 2

Modes of knowledge production

Funding structures and requirements

• External funding!• Diverse source of funding!• Government!• Not-for-profit!• Industry!

• Economic outcomes!• increase wealth creation & prosperity!• improve nation’s health, environment & quality of life!

• Innovation!• Improved competitiveness!• “Commercialisation” of research!• Less “curiosity-driven” activity

• Fund the best research to meet the needs of the country!

• Develop leaders and researchers who can meet national and global priorities!

• Foster public engagement with research!

• Funding international collaboration

Aims of research funders

Open access, open data, open science

!!Increasingly, the “private” nature of academic science is being displaced by a culture of openness - ideas, approaches and observations are shared at the earliest opportunity with colleagues - and sometimes the world at large.!!Whilst the ‘version of record’ approach to journal article creation retains validity, this is increasingly seen as a compliance matter - required to meet career objectives and funder/government requirements!

!!Traditional enquiry-driven research has been supplanted by reflexive research, driven by the increasingly necessary flow of external research funding into universities. Largely, this comes from government agencies, but charities (such as the Wellcome Trust) and industry are also powerful sponsors of high-quality activity.!!This state has led to the notion of the triple-helix of research - academe, industry and government.!!In turn, these inter-relationships have spawned a major industry around assessing and evaluating the impact of research. Initially, the aim was to drive up standards; this is now shifting to a culture of openness, and a desire to foster public engagement.!!!

Useful knowledge Useful knowledge

Sharable knowledge

Sharable knowledge

http://michaelnielsen.org/blog/the-future-of-science-2/

http://michaelnielsen.org/blog/the-future-of-science-2/

About 35 percent of scientists are using things like blogs to consume and produce content. There is an explosion of online tools and platforms available to scientists, ranging from Web 2.0 tools modified or created for the scientific world to Web sites that are doing amazing things with video, lab notebooks, and social networking.!!The next generation of PIs is already establishing new behaviors. They feel comfortable blogging, using social media tools, and using wikis to advance their research. It will take the big institutions to support open-access journals, for example. And it will take technological innovation in the form of software that is purpose-built for this unique community and its set of challenges.!!We’re talking about something as fundamental and important as modernizing the architecture of science.

Adam Bly

http://seedmagazine.com/content/article/science_2.0_pioneers/

There are a billion people connected to the, the Web. At least one of them has a smarter idea about what to do with your data than you do.

James Boyle

How do we add value?

• Bri8sh Library adds £419m of value to the economy each year

h\p://www.bl.uk/aboutus/stratpolprog/increasingvalue/bri8shlibrary_economicevalua8on.pdf

http://www.bl.uk/aboutus/stratpolprog/increasingvalue/britishlibrary_economicevaluation.pdf

Making a differenceAdverse event avoided Percent

Hospital admission 11.5

Hospital acquired infection 8.2

Surgery 21.2

Additional tests/procedures 49.0

Additional out-patient visits 26.4

Patient mortality 19.2

Marshall (1994) The impact of information services on decision making

Collection-centric - 1st generation

Client-focused - 2nd generation

Experience-centered - 3rd generation

Connected Learning Experiences and Information Specialists in the Research Process- 4th generation

Current priorities in academic libraries

1. Continue and complete migration from print to electronic and realign service operations

2. Retire legacy collections3. Continue to repurpose library as primary

learning space4. Reposition library expertise and resources to be

more closely embedded in research and teaching enterprise outside library

5. Extend focus of collection development from external purchase to local curation

Lewis (2007); Webster (2010, 2012)

CORE SCHEMA (CILIP, 2004)



library





The policy context


The UQ experience


Partnerships

Skills development




The data management impera8ve


Why Data Management Services?"The Board believes that timely attention to digital research data sharing and management is fundamental to supporting U.S. science and engineering in the twenty-first century.

...strong and sustainable data sharing and management policies [are] a critical national need."

Digital Research Data Sharing and Management December 2011

Task Force on Data Policies Committee on Strategy and Budget

National Science Board

More data will be created in the next five years than has been collected in the whole of human history. Properly managed, this data will form a major resource for Australian researchers.

"Create a comprehensive framework...that provide[s] reliable, effective access to the full spectrum of public digital scientific data."

2009

Research collaboration is associated with high academic and wider impact

International collaboration is associated with high academic impact

Data can be shared easily across borders

Sharing data?• Create opportuni8es

–For re-‐analysis and re-‐use –To facilitate collabora8on

• Solve problems –Waste of money, people and effort –Loss of irretrievable data –Inability to verify research

• Issues and challenges –Pa8ent confiden8ality –IP and discovery protec8on

• Promote cura8on rather than sharing?


The policy context

• The rapid development in computing technology and the Internet have opened up new applications for the basic sources of research — the base material of research data — which has given a major impetus to scientific work in recent years.

• Access to research data increases the returns from public investment in this area; reinforces open scientific inquiry; encourages diversity of studies and opinion; promotes new areas of work and enables the exploration of topics not envisioned by the initial investigators.

• The value of data lies in their use. Full and open access to scientific data should be adopted as the international norm for the exchange of scientific data derived from publicly funded research.

• Builds upon work in Fort Lauderdale biological data sharing principles

http://www.nature.com/nature/journal/v461/n7261/pdf/461168a.pdf

http://www.nature.com/nature/journal/v461/n7261/pdf/461168a.pdf

Key points

• Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property.

• To ensure that the research process is not damaged by inappropriate release of data, research organisation policies and practices should ensure that these are considered at all stages in the research process.

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Ins8tu8ons are to retain research data, provide secure data storage, iden8fy ownership, and ensure security and confiden8ality of research data

Researchers are to retain research data and primary materials, manage storage of research data and primary materials, maintain confiden8ality of research data and primary materials.

Australian requirements

1.Intellectual property 2.Data management, including: ◦ Storage ◦ RetentionDisposal ◦ Access, publication, description

3. Conflict of interest — do all parties have the same understanding about the use of the data? 3.Collaboration and contractual agreements 4.Ethics and privacy Compliance

“The Holdren Memo”

To achieve the Administration’s commitment to increase access to federally funded published research and digital scientific data, Federal agencies investing in research and development must have clear and coordinated policies for increasing such access.

Memo on Increasing Access to the Results of Federally Funded Scientific Research

White House Office of Science and Technology Policy

February 22, 2012

Data Management and Sharing

Soon (late 2014?)

What do we mean by RDM?

Data Retention Policy

Repository Data Policy

Data Visualization

Data Management

Planning

File Formatting

Metadata

Discovery

Grant Writing

Registry

Intellectual Property Issues

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Research Data Lifecycle

Conceptualize Project

Data Archiving Publication

Data Analysis

Collect Data

Data Reuse

Compliance-Side Economics

Data Management

Planning

3+ Years Data & Institutional Repositories

Pre-Award Compliance Post-Project Compliance

Data Services Program

Data Management

Planning

Data & Institutional Repositories

Operational DMP &

Compliance Checklist

Check Up

Visits

Compliance Assessment

Data Management

Training

Data Consult.

& Staging

3+ Years



library





The policy context


The UQ experience


Partnerships

Skills development




Pu6ng it into place

Data management service philosophy

What might our service offer?

• Teaching or doing?

• Compliance or support?

• Storage or registering?

• Policy advice vs policy development

• Institution-wide or in response to requests?

• Advising on data re-use (sources, analysis etc)

Data curation lifecycle

Pu6ng it into place

Partnerships

Likely partners

• Office of Research

• Ethics/privacy/legal experts

• Computing specialists

• High performance computing

Other sources of help

• National data services

• Data archives

• Research funding agencies

• Other libraries

• Growing number of books and reports

• Specialist advice

Pu6ng it into place

Skills development

Collec8ons gridhigh low

low

high

stewardship

uniq

uene

ssBooks Journals Newspapers Gov. docs CD, DVD Maps Scores

Special collections Rare books Local/Historical newspapers Local history materials Archives & Manuscripts, Theses & dissertations

Research, learning and administrative materials, •ePrints/tech reports •Learning objects •Courseware •E-portfolios •Research data

•Institutional records •Reports, newsletters, etc

Freely-accessible web resources Open source software Newsgroup archives

h\p://www.slideshare.net/lisld/collec8ons-‐grid

Librarians’ competencies profile for RDMKey roles

• Providing access to data –Iden8fica8on of data sets; discovery and analy8c tools; advice on informa8cs

• Advocacy and support for managing data –Policy development; ar8cula8ng benefits; promo8ng data sharing and reuse; educa8on and training; data audits

• Managing data collec8ons –Preparing for data deposit; appraisal; selec8on; inges8on; cura8on; preserva8on; storage and backup

Based on ARL draft distributed at CNI conference, St Louis, April 2014

Librarians’ competencies profile for RDM

Core competencies • Providing access to data

–Data centres and repositories; organiza8on and structure of data; licensing and IP; manipula8on and analysis

• Advocacy and support for managing data –Research funder mandates; DMP; research workflows; disciplinary norms; journal requirements; data audit and assessment tools

• Managing data collec8ons –Metadata; discovery tools and indexing; database design; data linking; forensic procedures in data cura8on

LIS2975 @ Pi\ iSchool• The Data Landscape • Universi8es and Data • Data Requirements and Capability • RDM Roadmaps, Strategy and Planning • Data Management Plans • Disciplinary Data 1 • Legal and Ethical Data Issues • Disciplinary Data 2 • Data Centres • Data Advocacy, Skills and Training • Data Sustainability and Cost

Pu6ng it into place


Research infrastructure

Teaching and Learning Services

Social Sciences and Humani8es

Life Sciences

Engineering and Applied Science

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Research Infrastructure

• Ins8tu8onal repository • Research data catalogue • Research publica8ons repor8ng and evalua8on

• Digi8sa8on

Early progress

• Lead ins8tu8on in APSR • Development of eSpace • ANDS at UQ • Seminars and workshops from 2007 onwards • Partnering with eScience and HPC ins8tutes • Strong involvement across all disciplines

Service model

• Data management interview and planning

• Consultancy

• Legal advice

• Pointers to other resources - eg for storage

• Data description and publication

• Long-term preservation

• Feeds to Research Data Australia

Pu6ng it into place


CMU Faculty Senate• WHEREAS

• Researchers in all disciplines are faced with a range of data management needs as research becomes more collabora8ve, data-‐intensive, and computa8onal,

• And the Office of Science and Technology Policy direc8ve issued February 22, 2013, requires federal agencies that fund research to mandate public access and re-‐use rights to peer-‐reviewed publica8ons and digital data arising from that funding,

• And the federal Open Data Policy issued May 9, 2013, s8pulates the requirements for sharing and enabling re-‐use of digital data,

• And data sharing and re-‐use increase the accountability, verifica8on, impact, and return on investment in research,

• And technical exper8se and support services are required to meet researcher needs, funding impera8ves, and public policy goals,

• And an ins8tu8onal commitment to effec8ve data management is required for faculty to par8cipate

THEREFORE BE IT RESOLVED THAT CARNEGIE MELLON UNIVERSITY

• Charge the University Libraries, Office of Sponsored Programs, Office of Research Integrity and Compliance, and Compu8ng Services to collaborate and provide the community with core services and tools for managing data throughout the data life cycle.

• Promote these services and tools and encourage faculty to use them to manage and share their data.

• Study means by which faculty can par8cipate effec8vely.

• Establish incen8ves and community norms for effec8ve data management and sharing.

• Provide ongoing financial support to the units providing services and tools, including support for the infrastructure, personnel, educa8on and training needed to sustain long-‐term data management and cura8on.

• Develop a research data management policy, establishing the University’s commitment to long term data management, and aligned with federal agency requirements and open data ini8a8ves. This policy and progress towards its implementa8on will be posted on relevant web pages.

A. Research Data must be created, maintained, protected, and shared in accordance with contractual, legisla8ve, regulatory, ethical and other relevant requirements.

B. Where permi\ed, management and sharing of Research Data should be supported through the alloca8on of the funding that supported the research.

C. Rights assigned to Research Data should not unnecessarily restrict its management, sharing, or reuse.

D. A Data Management Plan (DMP) should be documented for all research projects that will produce Research Data, with excep8ons noted.

E. Following comple8on of a research project, the Research Data to be shared should be deposited in one or more Trusted Data Repositories for access and preserva8on.

F. Research Data shared by University Researchers should be registered with the University Libraries, regardless of whether access to the Data is hosted by the University or a third party.

G. Shared Research Data should be made available for access and reuse in a 8mely manner, in compliance with funding or other requirements.

H. Shared Research Data should be curated and preserved in sufficient detail for the full Period of Reten8on, in conformance with this Policy or with legisla8ve, regulatory, or contractual obliga8ons.

I. Shared Research Data produced or used during research should be cited in all research outputs following accepted or emerging data cita8on prac8ces.

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Core SteeringSupport Collaboration



library





The policy context


The UQ experience


Partnerships

Skills development




uqkeithw

Keith Webster

[email protected]

[email protected]

cmkeithw

Keith Webster

mailto:[email protected]

mailto:[email protected]

Library Data Management Services

Data & Analytics

Transcript of Library Data Management Services