keepit course 5: drambora: risk and trust and data management, by martin donnelly

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… because good research needs good data KeepIt #5: University of Northampton, 30 March 2010 Funded by: This work is licensed under the Creative Commons Attribution- NonCommercial-ShareAlike 2.5 UK: Scotland License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/scotland/ ; or, (b) send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA. DRAMBORA: Risk and Trust and Data Management Martin Donnelly DCC, University of Edinburgh [email protected] (and Andrew McHugh, Sarah Jones, Joy Davidson, Seamus Ross, Raivo Ruusalepp, Perla Innocenti…)

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This presentation provides an extensive introduction to the Digital Repository Audit Method Based On Risk Assessment (DRAMBORA). After considering how the ideas of risk and trust might affect digital repositories, the DRAMBORA methodology is applied using two practical exercises. DRAMBORA can also be applied using an interactive Web-based version of the tool, and the presentation provides an illustrated guided tour of this version of the tool. The presentation was given as part of the final module of a 5-module course on digital preservation tools for repository managers, presented by the JISC KeepIt project. Concluding by comparing DRAMBORA with DAF, the Data Asset Framework, also produced by the DCC, brings the KeepIt course effectively full circle, as the course began in module 1 with DAF. For more on this and other presentations in this course look for the tag ’KeepIt course’ in the project blog http://blogs.ecs.soton.ac.uk/keepit/

TRANSCRIPT

Page 1: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

Funded by:This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 UK: Scotland License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/scotland/ ; or, (b) send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.

DRAMBORA: Risk and Trust and Data Management

Martin DonnellyDCC, University of Edinburgh

[email protected]

(and Andrew McHugh, Sarah Jones, Joy Davidson, Seamus Ross, Raivo Ruusalepp, Perla Innocenti…)

Page 2: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Order of Play• Part I: Risk and Trust in Digital Repositories• Part II: The DRAMBORA Methodology

• How it was arrived at• Where it can take you

• Part III: Risk Management Exercise• Part IV: DRAMBORA Interactive

• An introductory overview• Preview of v2.0

• Part V: DRAMBORA and DAF within the preservation lifecycle• Future systems integration

Page 3: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Order of Play• Part I: Risk and Trust in Digital Repositories• Part II: The DRAMBORA Methodology

• How it was arrived at• Where it can take you

• Part III: Risk Management Exercise• Part IV: DRAMBORA Interactive

• An introductory overview• Preview of v2.0

• Part V: DRAMBORA and DAF within the preservation lifecycle• Future systems integration

Page 4: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORAThe Digital Repository Audit Method Based On Risk Assessment (DRAMBORA) was developed by the Digital Curation Centre (DCC) and DigitalPreservationEurope (DPE) to assist repository management andstaff to identify, assess, manage, and mitigate risks.

• Definition: risks describe challenges or threats that impede the achievement of repository objectives, obstruct activities, and prejudice the continued availability of essential assets.

• In DRAMBORA, risks have several attributes: probability, impact, severity (a derived value, p*i), owner(s), and management strategies. Risks may also link to other risks. (See ‘Anatomy of a Risk’ below…)

Page 5: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA covers: • information assets (analogue/digital materials,

databases, data files, contracts, agreements, documentation, policies and procedures);

• software assets;• physical assets;• services and utilities;• business processes;• people (staffing and skills);• intangibles, such as reputation.

Page 6: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Definition of a repositoryWe propose that a digital repository is differentiated from other digital collections by the following characteristics:

• content is deposited in a repository, whether by the content creator, owner or third party;• the repository architecture manages content as well as metadata;• the repository offers a minimum set of basic services e.g. put, get, search, access

control;• the repository must be sustainable and trusted, well-supported and well-managed.

Heery and Anderson (2005) ‘Digital Repositories Review’http://www.jisc.ac.uk/uploaded_documents/digital-repositories-review-2005.pdf

• For DRAMBORA, ‘repository’ is a broad term encompassing many different types of resource and collection

• (N.B. despite its acronym, the DRAMBORA methodology and system may be used for analogue collections as well as digital content!)

Page 7: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

10 Characteristics of Digital Repositories• An intellectual context for the work:

• Commitment to digital object maintenance• Organisational fitness• Legal & regulatory legitimacy• Effective & efficient policies• Acquisition & ingest criteria• Integrity, authenticity & usability • Provenance• Dissemination• Preservation planning & action• Adequate technical infrastructure

(CRL/OCLC/NESTOR/DCC/DPE meeting, January 2007)

© H

AT

II UofG

lasgow, 2007

Page 8: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Trustworthiness and Archival Stewardship

• Trustworthiness is an increasingly sought after commodity

• Decentralisation part of a normal progression (see UK AHDS)

• Trustworthiness has wide reaching implications• external (financiers, depositors, creators, consumers)• internal (management, strategic planning)

Page 9: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

The Challenge of Building TrustThere is work going on now to define certification methodologies and processes for trusted digital repositories, but formal certification is still some way off. The DCC view is that the most effective way to build trust amongst stakeholder communities at this time is not necessarily through formal certification, but rather by the ability to:

• illustrate that you know what risks threaten your ability to meet your mandate

• provide evidence that you have considered these risks, understand them, and have appropriate measures in place to manage and mitigate them over time

Page 10: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Trustworthy Repositories Audit & Certification (TRAC) Criteria and Checklist

• RLG/NARA assembled an International Task Force to address the issue of repository certification

• TRAC is a set of criteria applicable to a range of digital repositories and archives, from academic institutional preservation repositories to large data archives and from national libraries to third-party digital archiving services

• Provides tools for the audit, assessment, and potential certification of digital repositories

• Establishes audit documentation requirements required

• Delineates a process for certification

• Establishes appropriate methodologies for determining the soundness and sustainability of digital repositories

Page 11: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk and Repositories

Page 12: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Types of preservation risk• Economic• Financial• Political• Contractual• Environmental

• Technological• Physical• Organisational• Socio-cultural• Legal

Page 13: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

IDENTIFY INTERNAL AND EXTERNAL CONTEXT

IDENTIFY RISKS

ANALYSE AND ASSESS RISKS

MANAGE AND TREAT RISKS

MONITOR AND

REVIEW

COMMU-NICATE

Standard Risk Management Model

Page 14: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Management and Digital Preservation• Lack of literature for risk-assessment in LIS

compared with Computer Science• Differences in definitions used by different

disciplines• Quantifying risk is problematic • The greatest challenge is the interpretation of the

risk, i.e. to determine when a risk is acceptable• To manage this we create a risk register

Page 15: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

The nestor Catalogue of Criteria

www.digitalpreservation.de

The nestor working group developed a Catalogue of Criteria for Trusted Digital Repositories…• Aimed at German memory organisations and institutions, service

providers devising, planning and implementing digital repositories• Provides guidance, tools for self-checking, and potentially

certification• Abstract criteria, applicable for a range of digital repositories, and

valid over a longer period,• Basic principle: Adequacy. Evaluation is always based on the

objectives and tasks of the individual digital repository concerned

Page 16: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Top down approach: tried and tested• Many auditable domains benefit from objective criteria

• Information and IT security• Financial regulation

• But disregards diversity evident across preservation discipline• funding, scale, legislative responsibilities and restrictions, content

types, technology and policy vary

• Generic criteria are difficult to conceive

Page 17: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

The Risks of Objectivism• Difficulties associated with a generalisation of

optimal repository characteristics• Do all repositories share singularity of purpose /

uniform priorities?• Documenting a set of ‘blue sky’ aspirational

repository qualities is useful – nestor and TRAC make compelling reference materials

• But both check-lists are necessarily vague

Page 18: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Order of Play• Part I: Risk and Trust in Digital Repositories• Part II: The DRAMBORA Methodology

• How it was arrived at• Where it can take you

• Part III: Risk Management Exercise• Part IV: DRAMBORA Interactive

• An introductory overview• Preview of v2.0

• Part V: DRAMBORA and DAF within the preservation lifecycle• Future systems integration

Page 19: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

The Evolution of an Audit Methodology• Pilot Audits Aiming to:

• Develop• Validate• Refine• Deploy

• A methodology for repository audit

Page 20: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA Method• Discrete phases of (self-)assessment, reflecting

the realities of audit

• Preservation is fundamentally a risk management process:• Define Scope• Document Context and Classifiers• Formalise Organisation• Identify and Assess Risks

• Builds audit into internal repository management procedures

Page 21: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

What does this mean in practice?1. Establish organisational profile

2. Develop contextual understanding

3. Identify and classify repository activities and assets

4. Derive registry of pertinent risks

5. Undertake assessment of risks (and existing management means)

6. Commit to management strategies

Page 22: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

The Risks of Subjectivity• DRAMBORA is fundamentally ‘bottom-up’• Comparability and reproducibility of results are

compromised• Improvement in self-assessment is limited by one’s

own horizons (no external view)• How can repositories comment on unanticipated

risks when they are unaware of available opportunities?

Page 23: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Finding Islands of Objectivity• 80 or so sample risks included in methodology to

prompt thinking... but many more were needed!• DRAMBORA Interactive may enable repositories to

align their objectives, activities, strengths and shortcomings with other peer repositories’ responses

• Ambition to collate these as a series of repository profiles, encapsulating key roles, responsibilities, functions and risks

Page 24: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

* Discussion Break *• Who cares about repository audit?• Who will pay for it?

• Who are the beneficiaries?

• Should submitting to audit be compulsory?• Carrot versus stick?

• Is auditing worthwhile?• What are the drawbacks of self-assessment?

Page 25: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

The Audit Process in a bit more detail

Page 26: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 key questions ahead of the audit

1. Why is the audit being done?

2. What exactly is to be audited?

3. Who will conduct the audit?

4. Where will the audit take place?

5. When will the audit take place?

6. How will the work be carried out?

Page 27: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 questions for auditing: #1 Why?• Identify and manage risks• Verify compliance• Check effectiveness• Identify opportunities for improvements• Engender trust in stakeholder communities

Page 28: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 questions for auditing: #2 What?• Digital repositories, digital libraries, digital

archives…• Information collections• Those that purport to be OAIS ‘compliant’?• Ongoing projects vs. projects not yet started

Page 29: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 questions for auditing: #3 Who?

• Organisations, research centres, data centres, libraries, museums….

• National and international remits

• Public and private sector

• Auditor(s): internal or external

• Members of staff with specific roles and responsibilities within the repository

AND

Page 30: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 questions for auditing: #4 Where?• Comfortable environment with Internet

connection• Close to where the activity takes place• Where demonstrations are feasible• Where staff can discuss without interruption

Page 31: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 questions for auditing: #5 When?• Plan well in advance• Schedule with consideration for the status of

project and/or repository being audited• Schedule onsite activities over consecutive days,

but with time allocated before and after for additional analysis and conclusion

Page 32: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

6 questions for auditing: #6 How?• Familiarity with DRAMBORA (inc. the online

system) and other complementary methodologies• Aggregate, accumulate and create appropriate

documentation• Online and onsite• Communication is critical

Page 33: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Impact,Risk Management and DRAMBORA

Page 34: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Impact in the repository context• Impact can be considered in terms of:

• impact on repository staff or public well-being• impact of damage to or loss of assets• impact of statutory or regulatory breach• damage to reputation• damage to financial viability• deterioration of product or service quality• environmental damage• loss of ability to ensure digital object authenticity and

understandability is ultimate expression of impact

Page 35: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Management and DRAMBORA• The toolkit refrains from prescribing specific

management policies• Instead, auditors should:

• choose and describe risk management strategy• assign responsibility for adopted measures• define performance and timescale targets• reassess success iteratively

Page 36: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA Workflow

Preliminary collecting and analysis of

repository documentation

Organise appointments and onsite visits

with repository staff (managers, curators, IT,

legal experts…)

Risk registry finalisation

Audit report finalisation

Impact on individuals and organisations

Page 37: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA Sample Audits (i)• Sample audits carried out at…

• The Michigan-Google Digitization Project and MBooks at the University of Michigan Library

• Gallica at the Bibliothèque nationale de France

• the Digital Library of the National Library of Sweden

• CERN’s Document ServerRoss, S., McHugh, A., Innocenti, P., Ruusalepp, R.: Investigation of the

potential application of the DRAMBORA toolkit in the context of digital libraries to support the assessment of the repository aspects of digital

libraries (Glasgow: DELOS NoE, August 2008) (ISBN: 2-912335-41-8)

Page 38: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA Sample Audits (ii)• Key conclusions

• Identified areas for future improvement in the DRAMBORA methodology

• Clarified key roles in the audit process• Positive feedback received on direct and

subsidiary benefits of carrying out audits• Genesis of DRAMBORA Interactive…

Ross, S., McHugh, A., Innocenti, P., Ruusalepp, R.: Investigation of the potential application of the DRAMBORA toolkit in the context of digital libraries to support the assessment of the repository aspects of digital

libraries (Glasgow: DELOS NoE, August 2008) (ISBN: 2-912335-41-8)

Page 39: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Order of Play• Part I: Risk and Trust in Digital Repositories• Part II: The DRAMBORA Methodology

• How it was arrived at• Where it can take you

• Part III: Risk Management Exercise• Part IV: DRAMBORA Interactive

• An introductory overview• Preview of v2.0

• Part V: DRAMBORA and DAF within the preservation lifecycle• Future systems integration

Page 40: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA stages in brief• Establish organisational profile;

• Develop contextual understanding;

• Identify and classify repository activities and assets;

• Derive registry of pertinent risks;

• Undertake assessment of risks (and existing management means);

• Commit to management strategies.

Page 41: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Defining and identifying risks• Definition: risks describe challenges or threats that impede the

achievement of repository objectives, obstruct activities, and prejudice the continued availability of essential assets.

• In DRAMBORA, risks have several attributes: probability, impact, severity (derived, p*i), area of expression, owner(s), and management strategies. Risks may also link to other risks.

• With DRAMBORA, you can choose to: • Recycle existing risks (a number of ‘off-the-shelf’ risks are available for

you to select and modify); or• Develop new risks from scratch.

Page 42: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Anatomy of a risk

The name of the individual who assumes ultimate responsibility for the risk in the event of the stated risk owner relinquishing control

Escalation Owner:

Name of risk owner - usually the same as owner of corresponding activity

Owner:

Hardware, software or communications equipment and facilities

Operations and service delivery

Personnel, management and administration procedures

Physical environmentNature of Risk:

Date that risk was first identified Date of Risk

Identification:

Example circumstances within which risk will or may execute

Example Risk Manifestation(s):

A longer text string offering a fuller description of this risk

Risk Description:

A short text string describing the riskRisk Name:

A text string provided by the repository to uniquely identify this risk and facilitate references to it within risk relationship expressions

Risk Identifier:

Page 43: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Anatomy of a risk

A targetted risk-severity rating plus risk reassessment date

Risk Management Activity Target:

Individual(s) responsible for performance of risk management activities

Risk Management Activity Owner:

Practical activities deriving from defined policies and procedures

Risk Management Activity(ies):

Description of policies and procedures to be pursued in order to manage (avoid and/or treat) risk

Risk Management Strategy(ies):

A derived value, representing the product of probability and potential impact scores

Risk Severity:

This indicates the perceived impact of the execution of this risk in terms of loss of digital objects' understandability and authenticity

Risk Potential Impact:

This indicates the perceived likelihood of the execution of this particular risk

Risk Probability:

A description of each of the risks with which this risk has relationships

Risk Relationships:

Parties with an investment or assets threatened by the risk's execution, or with responsibility for its management

Stakeholders:

Page 44: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Relationships

where risks exist in isolation, with no relationships with other risks

Atomic

where avoidance or treatment associated with a single risk renders the avoidance or treatment of another less effective

Domino

where avoidance or treatment mechanisms associated with one risk also benefit the management of another

Complementry

where a single risk’s execution will increase the likelihood of another’s

Contagious

where the simultaneous execution of n risks has an impact in excess of the sum of each risk occurring in isolation

Explosive

Definition of Risk RelationshipRisk Relationship

Page 45: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Scenario for the ExerciseYou work in an archive that has recently expanded its mandate to include the stewardship of digital materials…

• How do you determine your ability to safeguard the data you accept?

• How can you prove your trustworthiness to those depositing data and reusing the resources over time?

Page 46: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Part I – Identify a risk (30 minutes)

Each group should identify one risk (based on your ownexperiences wherever possible), and complete the DRAMBORA worksheet.

Groups should complete:• name and description of the risk;• example manifestations of the risk;• nature of the risk;• risk owner(s);• stakeholders who would be affected;• if possible, relationships with other risks.

Page 47: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Part II – Mitigate the risk (30 minutes)

Now identify what steps your archive might take to manage and mitigate the identified risk over time…

Each group should complete:

• Risk management strategy/-ies;• Risk management activities;• Risk management activity owner(s).

Page 48: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Benefits of Risk Assessment Exercise • Firmly established organisational mandate• Understanding of legal and regulatory framework within

which you are working• Development and maintenance of a realistic risk

register• Identification and collation of relevant policies and

strategies• Identification of staff skills and gaps • Identification of strengths and weaknesses in

operations• Pre-cursor to self-audit or external audit

Page 49: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Order of Play• Part I: Risk and Trust in Digital Repositories• Part II: The DRAMBORA Methodology

• How it was arrived at• Where it can take you

• Part III: Risk Management Exercise• Part IV: DRAMBORA Interactive

• An introductory overview• Preview of v2.0

• Part V: DRAMBORA and DAF within the preservation lifecycle• Future systems integration

Page 50: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA Interactive

www.repositoryaudit.eu

Page 51: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

DRAMBORA Interactive• System was developed as a labour-saving device

following feedback on the initial paper-based DRAMBORA audit methodology

• Essentially a means of guiding users through the audit process, and recording information

• Reporting functionality built in, with other bells and whistles which make it more flexible and user-friendly than the paper-based process

Page 52: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Step-by-Step• Create a new repository

• complete name, institution and as many additional details as you wish

• Create a corresponding user• this will enable you to log into the system; the initial

user has coordinator status to oversee the audit

• Create a staff member association• this describes the relationship between the user and the

created repository

Page 53: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Repository Registration

Page 54: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Login• You will be sent a confirmation email – follow

the link to finalise your registration• Now you can click on the ‘Home’ link to begin

the audit process• The first step is to set up some more details

about your repository, and about the audit itself

Page 55: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Before the audit can start…• The most important initial steps are to:

• Refine the repository characteristics• Make explicit the audit scope and purpose• Determine the structure for the audit• Define staff and allocate roles accordingly

• These details can be updated at any time, but it’s worth spending time getting a reasonably full set of responses

Page 56: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Repository Administration• Numerous fields are available to describe the

repository• No two repositories are identical; diversity

manifests itself in various ways• Repository profiling can help identify

commonalities between repositories, and facilitate the exchange of experiences and ideas

Page 57: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Repository Administration

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… because good research needs good data

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Define the Audit Scope• Auditors must make explicit the scope of the

audit – no repository exists in a vacuum, and it is vital that a perimeter is introduced to determine that which is internal and external to the assessment

• Also, the audit must be defined in terms of its chronological relationship with the repository. Does it precede the repository, or does it take a retrospective look at efforts already underway?

Page 59: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Define Repository Scope

Page 60: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Functional classes• Functional classes are a means of categorising audit

information to facilitate the process and make reports more meaningful

• You must select at least one functional class at this stage, and it is recommended that you spend some time here to ensure your choice is comprehensive

• If you feel that available functional classes are insufficient you may define your own additional ones, although a default set of ten is provided (and recommended)

Page 61: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Functional Classes

Page 62: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Repository Staff• Staff are the real people that occupy the various roles

in your repository• You can choose to associate individual staff members

with DRAMBORA Interactive user accounts, but this is not necessary

• Staff will need user accounts to log into the DRAMBORA tool themselves

• As with all repository administration activities, only coordinators can create and edit staff members

Page 63: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Add/Edit Repository Staff

Page 64: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Repository Roles• Within DRAMBORA, roles are characterised by their

function (e.g., Ingest, Dissemination, Financial Management, Preservation Planning…)

• Their relationship to staff members is m to n. This means that many staff members can perform a single role, and a given staff member may perform multiple roles.

• Roles are used to associate activities, risks and risk management responsibilities with specific individuals or sets of individuals

Page 65: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Add, Edit & Assign Roles

Page 66: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

User Administration• While logged in, a user can update his/her own details at

any time• Coordinators can also limit the IP addresses that users

may log in from, for security purposes; this supports wild cards• *.*.*.* for example permits access from any IP• 130.209.*.* permits access from anywhere on the 130.209.x.x

network

• You may wish to restrict access to only your own IP or local network range

Page 67: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

User Administration

Page 68: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Beginning the Audit• Once the preparatory stages are complete, we

visit the Assessment Centre to begin the audit• This corresponds closely with the DRAMBORA

methodology; the first step is to define the repository’s mandate

• DRAMBORA is an iterative process, and each stage can be returned to at any time

Page 69: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Define Repository Mandate• The repository’s mandate is the first detail that

we record• This describes the repository’s raison d’être• A repository may have multiple mandates,

each associated with different contextual organisational levels

Page 70: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Define Mandate

Page 71: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Define Constraints• We then move on to record any constraints that the

repository is subject to or influenced by

• This should include any relevant factor that influences or informs the repository’s objectives or activities (e.g. policy, laws, technical constraints, or even less tangible cultural considerations such as lack of financial confidence)

• External files can be linked to offer further information

Page 72: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Define Constraints

Page 73: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

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Define Objectives• At this stage we define each of the repository’s

objectives • These can be associated with the constraints

defined in the previous stage• Again, these are structured according to the

repository’s functional classes• See the DPE Platter report for more

information about SMART objectives

Page 74: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Define Objectives

Page 75: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Define Activities, Assets, Owners• This stage requires you to describe the specific

activities undertaken within your organisation to complete individual objectives

• An asset is anything that is required to facilitate the achievement of particular objectives, tangible or otherwise

• You can also add details of required or related assets for each activity, and an owner (or role) that has responsibility for each activity

Page 76: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Define Activities etc.

Page 77: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Identify Risks• We now continue to identify risks• Users can choose to:

a) Recycle existing risks (a number of ‘off-the-shelf’ risks are presented to choose and modify)

b) Create a new risk from scratch

• Search functionality is planned for the next software release

Page 78: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Identify Risks• For each risk you must define a name and

description, as well as details of its owner and the corresponding functional class

• You can also describe• the nature of the risk, in simple terms• ways in which the risk might manifest itself• associated vulnerabilities worth noting• relationships with other risks

Page 79: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Identify Risks

Page 80: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Assess Risks• Once you have identified risks, the next step is

to undertake risk assessment in order to determine their severity

• Risk assessment can be done on a whole selection of risks at a time, either by functional class, or by a custom user-defined grouping

Page 81: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Assess Risks• Three items of information are recorded in the

process of assessing each risk• impact: the potential impact that the risk would

have if it should occur• impact expression: the way in which negative

effects of the risk’s occurrence manifest themselves• probability: the likelihood of the risk occurring

Page 82: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Assessment

Page 83: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Manage Risks• The final stage of the audit is to define

appropriate management measures and targets for each risk

• You can record details of treatment or avoidance measures, as well as anticipated outcomes, and a future date at which point the risk might be reassessed

Page 84: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Risk Relationships

risks exists in isolation, with no relationships with other risksAtomic

where avoidance or treatment associated with a single risk renders the avoidance or treatment of another less effective

Domino

where avoidance or treatment mechanisms associated with one risk also benefit the management of another

Complementry

where a single risk’s execution will increase the likelihood of another’s

Contagious

where the simultaneous execution of n risks has an impact in excess of the sum of each risk occurring in isolation

Explosive

Definition of Risk RelationshipRisk Relationship

Page 85: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Manage Risks

Page 86: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Reporting Audit Results• Users can export their risk register to HTML or to

PDF, and a report customising tool is also available

• DRAMBORA v2.0 will have more sophisticated reporting capabilities

• We’re interested in hearing the reporting mechanisms that would be of particular interest to users…

Page 87: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Audit Reporting

Page 88: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Audit Snapshots• This feature allows users to record the state

of their repository at any given time• Facilitates comparison at a later date: can be

used to track improvements (or deterioration!) over time

• A read-only view of the saved responses facilitates analysis of inter-relationships between repository information: a useful reporting tool in itself

Page 89: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

KeepIt #5: University of Northampton, 30 March 2010

www.repositoryaudit.eu

Snapshot View

Page 90: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Ongoing and future developments• Supporting JISC’s Research Data programme

• DRAMBORA v2.0

• Software currently being redesigned and recoded from scratch, linked to Integrated Data Management Planning (IDMP) work

• Improved and more user-friendly graphical interface

• More sophisticated reporting functionality

• Better combinability to enable integration with DCC and third-party tools, such as DAF

• Repository profiling (perhaps later…)

Page 91: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Order of Play• Part I: Risk and Trust in Digital Repositories• Part II: The DRAMBORA Methodology

• How it was arrived at• Where it can take you

• Part III: Risk Management Exercise• Part IV: DRAMBORA Interactive

• An introductory overview• Preview of v2.0

• Part V: DRAMBORA and DAF within the preservation lifecycle• Future systems integration

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DRAMBORA and DAF talk, EDINA, 27th October 2009

Digital Curation Lifecycle Model

• The curation lifecycle model provides a common means of describing the range of curation actions and roles.

• The use of the model will help to contextualise project outputs and identify practical workflows for new and existing tools and resources.

Page 93: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

What is DAF?

A set of methods to:• find out what data assets are being created and held;• explore how they’re stored, managed, shared and

reused;• identify any risks e.g. misuse, data loss or irretrievability;• learn about researchers’ attitudes towards data;• suggest ways to improve ongoing data management.

Page 94: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

Overlaps and Differences

self-management tools to assess the

effectiveness of approach to data management or

preservation

- Repository focus

- Process emphasis

- Lifecycle: Preservation phase

- Researcher focus

- Data emphasis

- Lifecycle: Creation phase

Page 95: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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What is collected in DAF?

• Register of data assets

• Roles and responsibilities e.g. who manages data, research or IT support available

• Data management strategies / context e.g. funder requirements, resources / support, standards used, awareness of best practice in curation…

• Risks / recommendations

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DRAMBORA and DAF talk, EDINA, 27th October 2009

Mappings to DRAMBORA

• RISKS AND RECOMMENDATIONS

• ROLES AND RESPONSIBILITIES

• STRATEGIES, REQUIREMENTS, STANDARDS, BEST PRACTICE

• DATA ASSET

REGISTER

Page 97: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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Integrated

Data Management

Planning tool

AIDAhttp://aida.jiscinvolve.org

http://www.life.ac.uk/

http://www.data-audit.eu/

coming soon…

Page 98: KeepIt Course 5: DRAMBORA: Risk and Trust and Data Management, by Martin Donnelly

… because good research needs good data

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www.repositoryaudit.eu

To learn more about DRAMBORA, to request support, or to

join the DRAMBORA user community, visit www.repositoryaudit.eu

For further information on DAF, see http://www.data-audit.eu/

THANK YOU

Contacts