The Data Challenge – For Libraries

Birte Christensen-Dalsgaard

Libraries need to redefine their role • The traditional library functions are under rapid changes due to digitalization and globalization • The role of libraries need to redefined • Different roads: • • • •

Media house Public Service Center Reading rooms New Services towards students • Integration with learning management systems • …..

• New services towards researcher • Bibliometric services • Repositories • ………

• …..

Library Response E-science, primary data, innovative workflows working group mandate: Produce recommendations on strategies for research libraries • description and analysis of trends • identification of opportunities for research libraries (new products and services): involvement in innovative scholarly communication workflows, creation of discovery and management systems for digital (primary) data, preservation of, permanent access to and sharing of digital (primary) data, and the role for institutional repositories • description of the skills needed for information professionals and how they can be part of distributed (virtual) research teams • impact on library infrastructures and resources • impact on the nature of licensing agreements

Group Members • Marc van den Berg, Tilburg University Library • Rob Grim, Tilburg University Library • Wolfram Horstmann, Bodleian Libraries, Oxford • Annike Roos, Helsinki University • Tom Pollard, British Library, London • Dafne Jansen, Utrecht University, Utrecht • Birte Christensen-Dalsgaard, The Royal Library, Copenhagen

Outline of talk • Some thoughts about data driven communication “From digitized analog to structure” • Potential roles for libraries

Data, data and data • Data may be in the form of words, numbers, symbols, music, ….

• The Queensland University of Technology Management of research data policy states: Research data means data in the form of facts, observations, images, computer program results, recordings, measurements or experiences on which an argument, theory, test or hypothesis, or another research output is based. Data may be numerical, descriptive, visual or tactile. It may be raw, cleaned or processed, and may be held in any format or media. • Data is the seed for a process – but often only the end product in the form of a rendering is available

Different renderings of data

The data behind are the same but with two different two-dimensional views

Publication: the image – or structure

Can be re-use, but limited information available

Re-use requires structure, understanding, context and annotations

Understand/Use

John Wilbanks, Science Commons – talk at Tilburg 2007

A new paradigm for research communication infrastructure – based on data???

Tools supporting interactive reading

Towards structure

History of Technological Change- we may be somewhere around the second stage

Apply

• First stage: New technologies are applied to existing processes (Do more of the same faster/cheaper) Integrate • Second stage: New technologies are integrated into existing process (Improving existing systems) Infuse & • Third stage: New technologies are infused and diffused to create new diffuse processes and systems

from: Mark Lawrence Kornbluh

LIBER e-scholarship working group Input based on practice: Workshop 1: Good practices around service models. Working together to deliver good data services to scientists Workshop 2: Data reuse – how can metadata stimulate reuse Workshop 3: Required skills and competences

Evolution: the link between journals and data

Libraries might be well placed to provide such a service. Libraries can offer a brand that can reassure the community of long-term stability, commitment and security. In addition, libraries have a tradition in curation and cataloguing skills, and often provide a hub for communication between the relevant stakeholders, such as publishers and the research community. Brian Hole

Potential infrastructures

Offer secure data storage facilities – based on standards

Merce Crosas, Dataverse, Harvard University

Establishing a data citation framework involves both technical and social change, therefore DataCite is also creating a data citation community to develop standards, guidance, and good practice.

Re-use of data – Linked Open Data

publishing data on the web ... ... to enable integration, linking and reuse across silos Dave Reynolds, Epimorphics Ltd

how linkable data helps Tenby Tourist Information Centre Unit 2 , The Gateway Complex Tenby. Wales , SA70 7LT Tel: 01834 842 402 Fax: 01834 845 439 Email: [email protected]

Dave Reynolds, Epimorphics Ltd @der42

Photo by Skellig2008 (flickr)

Data Platform and Applications

Web of Linked Data

Potential Roles

http://environment.data.gov.uk/lab/bwq-os.html

Dave Reynolds, Epimorphics Ltd @der42

Open Data Foundation, ODaF?  The Open Data Foundation is a non-profit organization promoting the adoption of global metadata standards and the development of open-source solutions for the management and use of statistical data.  The Open Data Foundation (ODaF) was established to fill a gap in the area of statistical data and metadata management in Social, Behavioral and Economic sciences (SBE).  The adoption of metadata specifications (DC, DDI, SDMX, ISO/IEC 11179, ISO19115) has been impaired by the LACK OF TOOLS and agreed guidelines for their use.

 Building such tools requires the coordination of strong information technology and cross-domain expertise that is NOT typically a function of these agencies. This is not by lack of interest: it is simply not their mandate, mission or responsibility. Rob Grim December 5th, Bristol 2011

Vision 2030

Riding the Wave - vision a scientific e-infrastructure that supports seamless access, use, re-use, and trust of data. In a sense, the physical and technical infrastructure becomes invisible and the data themselves become the infrastructure – a valuable asset, on which science, technology, the economy and society can advance. David Giaretta

Caspar view on data capture and use

Role oriented view Libraries could • continue to provide selection and access in the data landscape, • provide leadership and coordination in the data management infrastructure • provide services for example at researcher and research group level • take responsibility to coordinate action around data mangement • Have a role in auditing the data landscape to ensure that there is awareness of what needs to be preserved and to understand the data management landscape

Kevin Ashley

Amount of informtion (data, articles)

Data oriented summary Ensure good data practice, knowledge of tools

Working area

Search, Autentification, audit Appraisal, 1-5 star Digital preservation, access Appraisal Dissimilation Re-use Verifikation

Application, Management Plans

Permanent access Time/Cost

Data and Libraries – where is the match? • Ensure permanent access - alone or in collaboration with data centers. • Liaise and partner with data archives and data centers to foster a networked and interoperable infrastructure for data access, discovery and data sharing • Co-operate with IT to offer secure, dynamic storage • Offer ‘data management’ instruction pages (both do-it-yourself and ‘where to get help’). • Offer persistent identifiers for data sets as a service • Develop data management procedures for local research groups • Assist researchers with grant applications that involve data management. • ………………..

Questions – and an invitation • If you have ideas and opinions and want to share them and to influence the results of the LIBER working group, please contact one of us – or join our meeting in Thursday