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Digital Object Identifiers and Unique Authors Identifiers to enable services for data quality assessment, provenance, access Barbara.

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Presentation on theme: "Digital Object Identifiers and Unique Authors Identifiers to enable services for data quality assessment, provenance, access Barbara."— Presentation transcript:

1 Digital Object Identifiers and Unique Authors Identifiers to enable services for data quality assessment, provenance, access Barbara Bazzanella, Paolo Bouquet, Martin Dow, Ruben Riestra SMART 2010/0054 Contract N. 30-CE-0395470/00-32

2 Objectives of the DIGOIDUNA study 1.Supporting policy makers at European and member state level to understand the opportunities and challenges of adopting solutions for managing identifiers in the context of establishing scientific data e-infrastructures (SDIs) 2.Providing instruments that will support decision making on solutions that will have a long-lasting impact on scientific research and on the long term access, preservation and integration of valuable data and knowledge assets

3 The three key messages 1.Digital identifiers are at the root of extracting value of information resources within SDIs. 2.The key challenge for managing identifiers goes far beyond the technical level to embrace a much wider vision, where organizational, social and business strategies form an intertwined eco-system. 3.Action is needed to exploit the opportunities provided by a coordinated eco-system of identifiers in e-Science

4 e-Science infrastructures in the digital agenda for Europe How to deliver the benefits of the digital era to e-Science? Building a pan-European and worldwide network of research infrastructures to increase the potential of innovation and the advancement of the research Increasing the efficiency and effectiveness of European research and reinforcing the research community

5 Identifiers: creating value from data DIs are an essential building block for enabling effective and efficient technical solutions and for supporting the creation of value-added services like: Data and information Access, Search and Navigation Fast, large-scale and decentralized Data Sharing & Reuse Effective Linkage of data and information across repositories Fine-grained Access Control Data and information Quality assessment Reputation assessment & Citation indexes Impact and ROI assessment (reliable research outputs beyond the scope of published literature) Ownership management for data and scholarly content (citability) … on top of scientific data and contents

6 From local-non digital to global-digital Non-digital Identifiers for non-digital objects in local single-authority non-computer based systems Digital Identifiers for digital and non- digital objects in local single-authority Information systems Digital Identifiers for digital and non- digital objects in decentralized distributed networked-based information systems

7 But what if we need to deal with data & information created and managed across national organizational disciplinary cultural Technological…. boundaries? Digital Identifiers (DIs) are the keys for cost- effective data management in digital systems The new fundamental challenge Enabling a cross-boundary key to data

8 A multi-dimensional vision

9 The opportunities ahead Policy-related Economical Social Technical SWOT analysis The current situation Future e-Science scenarios Actions needed to fill the gap


11 The current situation - I  FUNDAMENTAL AGREEMENT: managing identifiers is an essential component for data management in SDIs and a key to produce (more) value from data.

12 The current situation - II  FRAGMENTATION  CONVERGENCE: despite the current fragmentation of solutions, it is clear that the main stakeholders are in fact converging toward a restricted number of systems and initiatives for managing persistent identifiers on top of which value-added services are being built (for example, DataCite or CrossRef) [See below: the PIs / Cool URIs debate]

13 DIs for Digital Objects Source: elaboration from APARSEN questionnaire (2011)

14 DIs for Authors Source: elaboration from APARSEN questionnaire (2011)

15 The current situation - III  There is a different level of maturity between more consolidated solutions for digital objects and the gradually emerging solutions for authors (e.g. ResearcherID, ScopusID, the ORCID initiative).

16 The current situation - IV  There is a clear indication that trusted institutions should support the definition of agreements between the relevant stakeholders and users, especially when there are potentially conflicting interests  Trust is a key requirement towards a solution (trusted authorities, sustainability & long-term preservation, data quality, explicit policies & governance models, etc.)

17 Linked Open Data: Cool URIs as Persistent Identifiers for e-Science ? May the Web itself be taken as the platform for e-Science and the current practices about HTTP URIs as a way of managing persistent identifiers? The Web of Data and the Cool URIs solution

18 PIs / Cool URIs: the debate Persistent Identifiers Cool URIs Persistenceyesto be proven Authorityyesno Level of trusthighlow Effort for implementation highlow Sustainabilityto be provenyes Cross-linkageWeakyes Metadata interoperability lowhigh ID resolutionpartiallyyes Content negotiation noyes

19 The “Den Hague Manifesto”: towards interesting synergies PIs Cool URIs owl:sameAs relations for linking PIs PIs as resource IDs in RDF triples Persistent Object Identifiers Seminar The Hague, The Netherlands, 14 - 15 June 2011

20 WHERE DO WE WANT TO GO? Future looking scenarios

21 Example I: speeding up data sharing & reuse Genomic data Dataset ID Authorship and intellectual property Citability before publication Research collaboration and collective benefit Source: interview with Jan Brase (

22 Scientific publications Biographical information Research collaborations & projects Papers on the same research topic DI for Author Citation metrics Related institutions Example II: building the network of e-Science Related / subsidiary info on the web Rich measures and impact assessment


24 S O A SWOT ANALYSIS Europe has been already investing in the creation of e-infrastructures The necessary know-how is available Success of pioneering efforts in restricted contexts Consolidation of e-Science Demand for Science based innovation Expectations for “ROI” of public interventions Technical solutions are available and relatively mature W T Ultimate consensus and coordination among stakeholders Lack of clear business & sustainability models Scarce awareness beyond (and even within) direct players Political priorities Institutional consensus / different agendas Resistance to change in scientific communities

25 Possible strategies to fill the gap Doing nothing Supporting one of the existing solutions Supporting Coordination Developing a new solution from scratch Stakeholders agreement Interoperability Acceptance Trust Bottom-up agreement Time Failure? Risk of fragmentation A priori interoperability Costs and resources Locking out pre- existing solutions Low acceptance Reuse of available systems Lack of adoption Lack of backward compatibility Time?

26 Supporting coordination: the main actions Bootstrap DIs in SDIs Mobilise Define the DIs agenda Sustaina bility

27 Define the DIs agenda The EC should start initiatives aiming at defining a common agenda among key stakeholders towards the design and implementation of a governance model and an integrating infrastructure for managing DIs in SDIs in which technological, economical, social and political factors are taken into account. Define the DIs agenda

28 1.Defining the common objectives and organize them into a list of workable temporal priorities. 2.Agreeing on a shared governance model, which defines devolved responsibilities amongst stakeholders and ensures long-term sustainability. 3.Sharing a conceptual framework in which the basic technical parameters and the fundamental services are introduced and described. 4.Planning interventions to promote awareness, dissemination and education activities aiming at expanding and reinforcing DI knowledge and skills.

29 Bootstrapping DIs in SDIs The EC, Member States and other relevant stakeholders must take specific actions aiming at bootstrapping the implementation of the DI agenda in order to secure a critical mass of coordinated DI systems. Bootstrap DIs in SDIs

30 Bootstrapping DIs in SDIs 1.Reinforce, promote and secure EU wide institutional coordination among vertical and regional clusters of e-infrastructure stakeholders (common policies on the governance of identifiers for digital objects and authors). 2.Funding bodies must provide initial support to seed initiatives, which aim at implementing the coordination model defined in the agenda and at creating a critical mass of coordinated DI systems. This must be done in a flexible way, which allows the reallocation of funds in the portfolio based on the emerging needs and requirements. 3.Promote awareness and skills development to enable different stakeholders to participate effectively on DI initiatives and infrastructures. 4.Work towards systematic implementation of technical and organisational factors that underpin trust in identifiers, their reliability as a key component of SDIs - secure their operational management.

31 Mobilizing resources Stakeholders at any levels should promote actions to mobilize technical, human, financial resources aiming at triggering a wider demand of usage and exploitation of e-Science results based on DIs. Mobilizing resources

32 Mobilizing resources 1.Funding agencies should design funding schemes, which may attract new public and private investments and efforts in developing and adopting DI-based added value services and solutions. 2.Stakeholders, and especially funding agencies, should foster interoperability based on consolidation of established DI systems (where possible) more than on proliferation of ad hoc systems. 3.Actions should be taken to mobilize consolidated technical skills to implement effective digital identifiers infrastructures (DIIs) within SDIs and adopt measures to assess the quality and impact of them for the exploitation of e-Science results.

33 Sustainable solutions Efforts should be invested to build suitable organisational mechanisms and business models to guarantee the- long term sustainability of DI solutions. Sustaina bility

34 Sustainable solutions 1.Stakeholders need to develop business models where the costs of developing and sustaining identifier infrastructures and the responsibility in granting the long term sustainability of these infrastructures are distributed among the beneficiaries. 2.The flexibility of funding sources should be enhanced, allowing the reallocation of funds in the portfolio to enable the rapid scaling of promising solutions that embed or promote the value (usage) of identifiers. 3.Funding bodies must support the development of collaborative models and actions to create synergies and exchange opportunities between the private/commercial sector and scientific sector -DI- PPP).

35 THANK YOU! THE DIGOIDUNA TEAM Contact: PaoloBarbaraMartinRuben

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