#  Executive Summary

This deliverable presents the final version of the Data Management Plan (DMP)
and is an update of deliverable 7.3 _Initial data management plan_ . It
presents the data collected in the project and how the project will make this
data **f** indable, **a** ccessible, **i** nteroperable and **r** eusable, in
accordance with the concept of FAIR data management.

It follows the template for DMP provided by the European Commission in the
_Guidelines on FAIR Data_

_Management in Horizon 2020_ , version 3.0, July 2016  4  , and provides
technical details on the data collected, as well as purpose for data
collection, data utility and where and how data can be accessed and reused.

**About the project:** The DARWIN project aims to develop state of the art
resilience guidelines and innovative training modules for crisis management.
The guidelines, which will evolve to accommodate the changing nature of
crises, are developed for those with the responsibility of protecting
population or critical services from policy to practice.

The guidelines address the following resilience capabilities and key areas:

  * Capability to anticipate 

  

  * Mapping possible interdependencies 

  

  * Build skills to notice patterns using visualisations 

  

  * Capability to monitor 

  

  * Identify resilience related indicators, addressing potential for cascade 

  

  * Establish indicators that are used and continuously updated 

  

  * Capability to respond and adapt (readiness to responds to the expected and the unexpected) 

  

  * Conduct a set of pilot studies 

  

  * Investigate successful strategies for resilient responses 

  

  * Capability to learn and evolve 

  

  * Explore how multiple actors and stakeholders operate in rapidly changing environments 

  

  * Enable cross-domain learning on complex events 

  

  * Key areas: social media and crisis communication; living and user-centred guidelines; continuous evaluation and serious gaming 

  

#  Introduction

##  Purpose of the document

This deliverable constitutes the project's DMP and describes what data has
been collected and how it has been processed and managed in the project. It
further outlines how and what parts of the data will be available after the
project has been completed, and by what means these will be made available.

##  Authorship and Intellectual Property Rights (IPR)

This deliverable has been prepared by SINTEF with input from the work package
(WP) leaders from WP1

(FOI), WP2 (SINTEF), WP4 (DBL) and WP5 (KMC). The WP leaders have mainly
contributed to section 3 and 0 with detailed descriptions of the data
collected in their WPs, and how these data have been managed and will be
preserved. ISS and FOI have contributed with feedback and input through their
role as reviewers of the document.

In this deliverable the DARWIN Wiki is described as a channel for making data
generated by the project available. The IPR principle that applies to this
tool is outlined in the table below. For information on IPR principles applied
to other DARWIN results, please see deliverable 6.8 Plan for Business and
Exploitation of Results (Final).  
  
<table>  
<tr>  
<th>

**Key Results**

</th>  
<th>

**Asset (IP)**

</th>  
<th>

**IPR Principle**

</th>  
<th>

**Primary**

**Exploitation**

**Partner(s)**

</th> </tr>  
<tr>  
<td>

Darwin Resilience

Management

Guidelines

</td>  
<td>

DARWIN Wiki

</td>  
<td>

Creative Commons CC-BY 4.0 license

</td>  
<td>

SINTEF, ENAV,

ISS, DBL, FOI,

KMC, BGU

</td> </tr> </table>

##  Intended readership

This deliverable is mainly intended for use internally in the project, to
provide guidance on data management to project partners and participants. In
addition, section 3 and 4 can be used by external actors to gain knowledge of
what data has been generated and how to access such data after the project
ends.

##  Structure of this document

Section 3-5 follows the official template for DMP and FAIR data management,
whereas section 2 gives and introduction to the guiding principles for data
management applied in the project.

  * Section 2 describes the guiding principles for the overall data management in DARWIN 

  

  * Section 3 provides details on the data collected and generated in the project • Section 4 provides and overview of how the open data can be accessed and reused. 

  

  * Section 4 addresses how DARWIN will relate to the concept of FAIR Data Management 

  

  * Section 6 describes how the project has handled issues related to secure storage of research data and data protection. 

  

##  Stakeholder involvement

The involvement of end-users and stakeholders is central to achieving the
development of the DARWIN Resilience Management Guidelines (DRMG), which is
the main objective and core result of the DARWIN project. Their involvement
will ensure transnational, cross-sector applicability and long-term relevance,
and to secure their input and involvement in the project the _DARWIN Community
of Practice_ (DCoP) has been established. The DCoP includes relevant
stakeholders and end-users representing different domains and critical
infrastructures (CIs) as well as resilience experts.

The DCoP has been an important source of data collected in the project. DCoP
members, in addition to other relevant stakeholders who participated in the
pilot exercises, provided input on end user needs, requirements and practices
relevant to the development of the DARWIN Resilience Management Guidelines
(DRMG) and associated innovative tools and training material, as well as
continuous feedback during the development phase. Such data was collected
through surveys, interviews, webinars, questionnaires and face-to-face
workshops.

##  Relationship with other deliverables

The DMP presented in this document complements the following deliverables:

  * D7.1 – Project Management Manual: D7.9 presents procedures for managing research data developed during the project and thus enables the management procedures presented in D7.1 

  

  * D7.3 – Initial data management plan: D7.9 presents an updated version of D7.3 

  

  * D7.4 – DARWIN Ethical approvals: The content of D7.4 provides input to D7.9 through the Ethical approvals. 

  

#  Guiding Principles

The DARWIN project is an "open" project with 23 of the 38 deliverables in the
project being public. Among the 15 that are confidential 11 are related to
project management and reporting. The figure below is taken from D7.3 and
illustrates the main procedure used in the project to ensure open access to
research data and publications.

**Figure 1: DARWIN data sets and publications**

##  General Data Protection Regulation (GDPR)

As of May 2018, the General Data Protection Regulation (GDPR) is applicable in
all Member States in the European Union, as well as in the countries in the
European Economic Area (EEA). GDPR updates and modernises existing laws on
data protection to strengthen citizens' fundamental rights and guarantee their
privacy in the digital age.

The DARWIN project has reviewed the data collected through the project and how
this has been processed and stored. We have received confirmation from the
Norwegian Social Science Data Services (NSD)  5  , who is our main advisor in
handling sensitive data as well as our main data archiving facility, that they
operate in accordance with the new GDPR rules. We have also consulted our
Ethics and Security Board comprised of project external experts to confirm
that our procedures are in line with GDPR and sound research ethics. In
addition, we have contacted all members of the DCoP to get updated permission
to store their contact data for involving them in project work and activities.

All data collected from stakeholders in the project has been done in
accordance with applicable ethical standards and requirements in the
respective countries of the data collection, as well processed and handled
secure and in line with applicable rules and regulations on privacy and data
protection. Deliverable _7.4 Ethical approvals_ outline how the project has
handled sensitive data, as well as presents the required ethics approvals from
the countries where data was gathered.

Before any of the data collected were published, it went through a process of
anonymisation, aggregation and analysis, so that none of the publicly
available data can be traced back to an individual participant or respondent.

#  Data summary

This chapter describes the datasets that has been gathered and processed
during the project and follows the template for DMP as presented in the
_Guidelines on FAIR Data Management in Horizon 2020_ , version 3.0 from July
2016  6  .

Datasets in DARWIN are defined as _organised data_ and excludes _un-organised
data_ . An example of unorganised data is notes from interviews, workshops and
exercises that are not directly included in the project deliverables but are
only used in deliverables in aggregated or analysed form. Such data was used
for guidance and analysis internally in the project only and were not
structured in a way to make them reusable after the end of the project. As you
will see, not all datasets from the project will be openly available after the
end of the project, and in the cases were a dataset is public, there might
still be parts of the dataset that remain non-public. There are five main
reasons for this:

  1. Data collected from volunteers participating in interviews, workshops and pilot exercises (etc.) contains personal data that is confidential. The project is subject to Ethical Requirements to protect this data and ensure the participants privacy. Only aggregated, anonymised and analysed data from datasets are included in project deliverables and/or published in articles and papers. In the cases were datasets are not made public, the main reason is that the data has the potential to be traced back to the individual participants and must remain confidential to protect their privacy. 

  

  2. The data collected in this project is context specific, and the publicly available part of this data is at the highest level of detail that can be interpreted and understood by external readers. Including more data, as in the form of "raw data", could lead to misinterpretations of the data. 

  

  3. Some of the data collected in its "raw form" in the pilot exercises reveals details of critical infrastructure operations that are to be considered _security_ and _organisational sensitive information 8  _ and we do not have permission from the concerned organisations to make this data available. For more information, please see deliverable 4.3, section 9.4  9  . 

  

  4. Most data from stakeholders and participants were collected in local languages, for example in the pilot studies in Sweden and Italy. This data was then aggregated and analysed, and only the analysis of this data is available in English. To translate all raw material from interviews, workshops etc. to English would require resources beyond the availability of the DARWIN project, and would again potentially lead to the identification of individual participants (or organisations). 

  

  5. Data collected from scientific publications is in most cases copyright-protected so that datasets with entries of text taken directly from scientific publications cannot be reproduced publicly, except for occasional quotes of very limited length. 

  

  

Since all descriptions of datasets follow the same template, the same wording
might be repeated between the different descriptions. The name for each data
set includes a prefix "DS" for data set, followed by a case-study
identification number, the partner responsible for collecting and processing
the data, as well as a short title. Table 3 provides an overview of the
datasets collected. Updated and more detailed descriptions of each set is
provided in the following sub-sections.

**Table 3: Overview of data sets**  
  
<table>  
<tr>  
<th>

**No.**

</th>  
<th>

**Identifier/Name**

</th>  
<th>

**Brief description**

</th>  
<th>

**Public**

</th> </tr>  
<tr>  
<td>

1

</td>  
<td>

DS.WP1.FOI.Practices

</td>  
<td>

This data set provides the aggregated data from an interview series conducted
with relevant practitioners to gather data on practices, needs, expectations
and experiences with crisis management and resilience.

</td>  
<td>

Yes

</td> </tr>  
<tr>  
<td>

2

</td>  
<td>

DS.WP1.FOI.Literature.Analysis

</td>  
<td>

This data set provides the aggregated data from a worldwide literature survey
(conducted in WP1) addressing crisis management and resilience.

</td>  
<td>

Yes

</td> </tr>  
<tr>  
<td>

3 (new)

</td>  
<td>

DS.WP1.FOI.Literature.Working.Material

</td>  
<td>

This data set is the DARWIN-internal dataset that provides guidance for the
DRMG developers to extract relevant input from the Literature Analysis.

</td>  
<td>

No

</td> </tr>  
<tr>  
<td>

4 (new)

</td>  
<td>

DS.WP2.SINTEF.DRMG.Working.Material

</td>  
<td>

This data set have collected stakeholder input/feedback on the DRMG/CCs during
the development phase, through DCoP surveys, interviews with outside experts,
interviews with project internal experts, and cycles of revisions of the
guidelines.

</td>  
<td>

No

</td> </tr>  
<tr>  
<td>

5

</td>  
<td>

DS.WP4.DBL.Pilots

</td>  
<td>

This data set provides feedback and qualitative insights on the use of DARWIN
resilience management guidelines (including practices and associated methods)
by end-users, in the context of the pilot cases conducted in healthcare and
ATM as well as other related domains.

</td>  
<td>

Yes

</td> </tr>  
<tr>  
<td>

6 (new)

</td>  
<td>

DS.WP4.DBL.Questionnaires

</td>  
<td>

This data set provides feedback on the potential impact of the DRMG in
improving resilience, as perceived by the practitioners that were involved in
the different evaluation events, including the Pilot Exercises, the
Interactive Sessions of the 3  rd  DCOP Workshop and all the other smaller
scale evaluation events.

</td>  
<td>

No

</td> </tr>  
<tr>  
<td>

7

</td>  
<td>

DS.WP5.KMC.DCoP_Workshops.Feedback

</td>  
<td>

This data set provides qualitative insights and inputs from the DARWIN
Community of

Practice giving feedback on the presented project work( e.g. DRMG, simulation
tool and training materials).

</td>  
<td>

Yes

</td> </tr>  
<tr>  
<td>

8 (new)

</td>  
<td>

DS.WP5.KMC.DCoP_Workshops.Evaluation

</td>  
<td>

This data set provides feedback and qualitative insights on the DCop Workshop
organization and execution during the DARWIN project.

</td>  
<td>

No

(except quotes in

D5.2,

5.3,

5.5)

</td> </tr> </table>

##  DS.WP1:FOI.Practices  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Text file

(Deliverable 1.1, section 3.3)

</td>  
<td>

PDF/A

</td>  
<td>

13 pages (PDF)

</td>  
<td>

Public

</td> </tr> </table>

**Purpose of the data collection/generation:** Identify resilience and
brittleness aspects from significant crisis and everyday practices of crisis
response organisations and the public, in order to provide content to and
requirements for the DRMG.

**Relation to the objectives of the project:** This data contributed to
achieving objective 5:

_To build on “lessons learned” in the area of resilience by:_

  1. _Identifying criteria that provide indicators of what works well and what does not;_

  

  2. _Applying these criteria in defining and evolving resilience guidelines._

  

  

**Re-use of existing data:** None.

**Origin of data:** Interviews with stakeholders and practitioners.

**Data utility:** This data can be useful for actors that are interested in
issues concerning crisis management, e.g. crisis response practitioners from
safety- and security-critical complex domains, the research communities
involved with the various aspects of resilience and crisis management research
and application, and the project partners of DARWIN.

##  DS.WP1.FOI.Literature.Analysis  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Text files:

Literature analysis in D1.1, section 2

Reference list in D1.1, appendix A

</td>  
<td>

PDF/A

PDF/A

</td>  
<td>

Analysis: 74 pages

Reference list: 19 pages

</td>  
<td>

Public

Public

</td> </tr> </table>

**Purpose of the data collection/generation:** To identify resilience
concepts, methods, definitions, practices, tools, in order to provide content
and requirements for the DRMG.

**Relation to the objectives of the project:** This data contributed to
achieving objective 5:

_To build on “lessons learned” in the area of resilience by:_

_1\. Identifying criteria that provide indicators of what works well and what
does not; 2. Applying these criteria in defining and evolving resilience
guidelines._

**Re-use of existing data:** Systematic Literature Review (SLR): We performed
and aggregation and analysis of existing (published) journal articles.

**Origin of data:** Data collected from relevant scientific journals,
identified through searching the SCOPUS database and the DARWIN Description of
Action (DoA).

**Data utility:** This aggregated and structured data that is presented in the
catalogue that is D1.1 can be useful for actors that are interested in issues
concerning crisis management, e.g. crisis response practitioners from safety-
and security-critical complex domains, the research communities involved with
the various aspects of resilience and crisis management research and
application, and the project partners of DARWIN.

##  DS.WP1.FOI.Literature.Working.Material  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Excel spreadsheet containing specific questions for the use of creating DRMG
content, interpreting the scope and gathering relevant input to the project.

</td>  
<td>

.xlsx

</td>  
<td>

138 k (DoA) 2089 k (articles)

</td>  
<td>

Non-public

</td> </tr> </table>

**Purpose of the data collection/generation:** To assist project partners in
navigating data from the SLR and identify resilience concepts, methods,
definitions, practices and tools, in order to provide content and requirements
for the DRMG. This data is organised as a spreadsheet database in excel format
to be used by project-internal DRMG developers, searching for input to the
guidelines.

**Relation to the objectives of the project:** This data contributed to
achieving objective 5:

_To build on “lessons learned” in the area of resilience by:_

_1\. Identifying criteria that provide indicators of what works well and what
does not; 2. Applying these criteria in defining and evolving resilience
guidelines._

**Re-use of existing data:** SLR: We performed an aggregation and analysis of
existing (published) journal articles.

**Origin of data:** Data collected from relevant scientific journals,
identified through searching the SCOPUS database and the DARWIN Description of
Action (DoA).

**Data utility:** Project internal: used by DRMG developers searching for
input to the guidelines.

##  DS.WP2.SINTEF.DRMG.Working.Material  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Text files – stakeholder analysis:

Deliverable 2.1

Deliverable 2.4

</td>  
<td>

PDF/A

PDF/A

</td>  
<td>

160 pages (14,32 MB)

Approx. 300 pages

</td>  
<td>

Public

Public

</td> </tr>  
<tr>  
<td>

Text files – adaption of the DRMG:

Deliverable 2.2

Deliverable 2.3

</td>  
<td>

PDF/A

PDF/A

</td>  
<td>

137 pages (3,71 MB)

140 pages (4 MB)

</td>  
<td>

Public

Public

</td> </tr>  
<tr>  
<td>

Text files – adaption of the DRMG:

Hand-written notes from interviews, workshops and exercises. Data collected in
local languages.

</td>  
<td>

Paper documents

</td>  
<td>

</td>  
<td>

Non-public

</td> </tr>  
<tr>  
<td>

**Type of data**

</td>  
<td>

**Format**

</td>  
<td>

**Size of data**

</td>  
<td>

**Public/Non-public**

</td> </tr>  
<tr>  
<td>

Text files - Cycles of revisions of the involving members of the DARWIN
research team:

Electronic notes and comments

provided in the wiki

Electronic documents including notes and feedback on the DRMG

</td>  
<td>

Text files - Cycles of revisions of the involving: .txt and text and text and
.txt / .docx

</td>  
<td>

</td>  
<td>

Non-public

</td> </tr>  
<tr>  
<td>

Text files: part of DARWIN

Resilience Management Guidelines – Deliverable 2.4DARWIN Resilience

Management Guidelines – Wiki

DARWIN Resilience Management

Guidelines – Book format

</td>  
<td>

PDF/A test test

test test test test test

Online Wiki

PDF/A

</td>  
<td>

Appox. 300 pages

</td>  
<td>

Public

Public

Public

</td> </tr> </table>

**Purpose of the data collection/generation:** To collect feedback on the
development of the DRMG and Capability Cards (CCs) and their adaptability to
different domains, focusing on ATM and healthcare. And to perform cycles of
revisions of the DRMG to improve their relevance and usability for end-users.
The nonpublic data contain personal data that can be traced back to
individuals and are therefore subject to data protection and privacy measures
and cannot be shared.

**Relation to the objectives of the project:** This data contributed mainly to
achieving objective 1 but also other objectives (see deliverable 2.4 for more
details):

_To make resilience guidelines available in a form that makes it easy for a
particular infrastructure operator to apply them in practice, by:_

  1. _Surveying and cataloguing resilience concepts, approaches, practices, tactics and needs_

  

  2. _Adapting/customising them to the needs of a domain or specific organisation;_

  

  3. _Utilization of social media by emergency authorities, first responders and the public as part of resilience management;_

  

  4. _Quickly locating and accessing the details relevant to a specific situation;_

  

  5. _Integrating them within existing working processes within organisations;_

  

  6. _Entering new information (e.g. based on practical experience) that updates the guidelines (to “learn and evolve”)._

  

  

**Re-use of existing data:** Input from WP1 and WP4 deliverables.

**Origin of data:** Surveys, interviews and workshops with both project
internal experts, external experts, and practitioners, end-users and external
experts that are members of the DCoP.

**Data utility:**

Non-public data: Project internal - used by DRMG developers for input to
development of the DRMG.

Public data:

_Deliverable 2.1:_ Practitioners and researchers outside the project that are
involved in developing the resilience of critical infrastructures, and to
developers of guidelines: 1) the development process (including assessment and
revision activities) is described in detail in order to provide potential
methodological support; 2) the content, organisation and nature of the
guidelines can serve as a source of reference; and, 3) the development of the
DAWIN Wiki highlights the issues of knowledge management and access associated
with the evolving guidelines content, and implements various capabilities to
support such efforts.

_Deliverable 2.2:_ This is useful for policy, healthcare crisis managers,
healthcare critical infrastructure managers and community of practice
healthcare and other CIs as source of inspiration when adapting resilience
guidelines for their domains.

_Deliverable 2.3:_ useful for ATM stakeholders (i.e. policy makers, crisis
managers, critical infrastructure managers and community of practice) and
other CIs as source of inspiration when adapting resilience guidelines for
their domains.

_Deliverable 2.4:_ Primary users are managers and stakeholders responsible for
CIs who are interested in adapting and adopting resilience management
guidelines in their organisation, especially within the ATM and healthcare
domain, but also relevant to other CIs. Other groups this could be useful for
include: 1) Members of the DCoP and of the DARWIN consortium who might be
involved in pursuing this work, expanding and improving the guidelines
described here; 2) practitioners and researchers outside the project that are
involved in enhancing the resilience of Critical Infrastructures; and, 3)
other developers of guidelines, who might find insight in the content and
process described. This is useful for the following groups:

##  DS.WP4.DBL.Pilots  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Text files:

Deliverable 4.3

Deliverable 4.4

</td>  
<td>

PDF/A

PDF/A

</td>  
<td>

140 pages

180 pages

</td>  
<td>

Public

Public

</td> </tr>  
<tr>  
<td>

Excel spreadsheets

(Overall Summative and Formative

Evaluation grid)

</td>  
<td>

.xlsx

</td>  
<td>

1 spreadsheet with 6

tabs

278KB

</td>  
<td>

Non-public

</td> </tr>  
<tr>  
<td>

Audio recordings

</td>  
<td>

.m4A

.mp3

</td>  
<td>

560MB

177M

</td>  
<td>

Non-public

</td> </tr> </table>

**Purpose of the data collection/generation:** Provide accounts of involved
personnel and end-users' experiences in using the DRMG, to provide feedback to
the development and support the improvement of end results.

**Relation to the objectives of the project:** This data contributed to
achieving objective 6:

_To carry out two pilots that apply project results in two key areas - Health
care and Air Traffic Management (ATM) – and use the experience gained to
improve project results and demonstrate their practical benefits in these
domains, as well as add value to established risk management practices and
guidelines._

**Re-use of existing data:** None.

**Origin of data:** Focus Groups, Workshops, Interviews with and observations
of participants at pilot exercises. **Data utility:** This data can be useful
for practitioners and researchers that are interested in the result of the
assessment of the DRMG. They can also be of interest for other organizations
that operate in the same domain of crisis management tested in the pilot
exercises and would like to know more about the effects of adopting the DRMG
(with focus, but not limited, to Healthcare and ATM).

##  DS.WP4.DBL.Questionnaires  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Excel spreadsheets

</td>  
<td>

.xlsx

</td>  
<td>

11 Spreadsheets

(one tab each)

</td>  
<td>

Non-public

</td> </tr>  
<tr>  
<td>

Google Forms Entries

(De-identified and accessible only to DBL)

</td>  
<td>

PDF/A

</td>  
<td>

182 Entries

</td>  
<td>

Non-public

</td> </tr> </table>

**Purpose of the data collection/generation:** To collect additional feedback
on the DRMGs and CCs after each pilot exercise, as well as in smaller scale
evaluations including other domains, separate from and in between pilot
exercises. Data were collected both via online surveys and paper
questionnaires (one per each CC plus one for the DARWIN Wiki as a whole). The
structure and content of the questionnaire was the same in both formats. The
resulting data was aggregated into Excel spreadsheets, and the anonymised
analysis of it was included in the overall evaluation documents described in
section 3.5. The questionnaire data itself was only used internally in the
project, for reasons listed in the introduction to this section.

**Relation to the objectives of the project:** This data contributed to the
achievement of objective 6:

_To carry out two pilots that apply project results in two key areas - Health
care and Air Traffic Management (ATM) – and use the experience gained to
improve project results and demonstrate their practical benefits in these
domains, as well as add value to established risk management practices and
guidelines._

**Re-use of existing data:** None.

**Origin of data:** Questionnaires (both as online survey and paper format).

**Data utility:** Project-internal DRMG developers: This data was used to feed
the Summative and Formative Evaluation in combination with qualitative data
deriving from Pilot Exercises.

##  DS.WP5.KMC.DCoP_Workshops_Input  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Text files:

Deliverable 5.2

Deliverable 5.3

Deliverable 5.5

</td>  
<td>

PDF/A

PDF/A

PDF/A

</td>  
<td>

27 pages (746,42 KB)

51 pages (1,88 MB)

71 pages (2,47 MB)

</td>  
<td>

Public

Public

Public

</td> </tr>  
<tr>  
<td>

Text files (paper)

Unprocessed original paper questionnaires

</td>  
<td>

Paper documents

</td>  
<td>

370 A4 pages

</td>  
<td>

Non-public

</td> </tr> </table>

**Purpose of the data collection/generation:** Data collected and generated in
this set had two main purposes: 1) to establish and manage a community of
crisis and resilience practitioners that would, 2) provide input from end-
users and practitioners to WP2, WP4, WP3 to improve results and ensure that
the DRMGs and associated tools are relevant, useful and adaptable across
different domains and critical infrastructures. **Relation to the objectives
of the project:** This data contributed to achieving objective 4 and 5\.

_Objective 4: To establish a forum - the Community of Resilience and Crisis
Practitioners - with a lifetime that will extend beyond the end of the
project, that will:_

  1. _Bring together infrastructure operators, policy makers and other relevant stakeholders;_

  

  2. _Allow them to exchange views and experiences in a dynamic, interactive and fluent way enabled by social media;_

  

  

_Objective 5: To build on “lessons learned” in the area of resilience by:_

  3. _Identifying criteria that provide indicators of what works well and what does not;_

  

  4. _Applying these criteria in defining and evolving resilience guidelines._

  

  

**Re-use of existing data:** None.

**Origin of data:** Data collected at 3 face-to-face workshops held at KMC's
premises in Linköping, Sweden; 6 webinars using GoToMeeting; and, 1 DCoP
Questionnaire.

**Data utility:** The utility of this data was mainly internally in the
project, as input to develop and improve project results. However, the results
of the DCoP questionnaire will also be useful for the members of the DCoP who
will participate in the community beyond the end of the project, as well as
for other related research projects that are interested in establishing
similar communities or connecting with the DCoP.

##  DS.WP5.KMC.DCoP_Workshops_Evaluation  
  
<table>  
<tr>  
<th>

**Type of data**

</th>  
<th>

**Format**

</th>  
<th>

**Size of data**

</th>  
<th>

**Public/Non-public**

</th> </tr>  
<tr>  
<td>

Excel spreadsheets

(Input to deliverables 5.2, 5.3, 5.5)

</td>  
<td>

.xlsx

</td>  
<td>

25Kb

</td>  
<td>

Non-public

</td> </tr>  
<tr>  
<td>

Unprocessed original paper questionnaires, notes, and post-it’s

</td>  
<td>

Paper documents

</td>  
<td>

259 A4 pages

</td>  
<td>

Non-public

</td> </tr> </table>

**Purpose of the data collection/generation:** Collect feedback from
participants at DCoP workshops and webinars to improve and tailor future
events to their wants and needs.

**Relation to the objectives of the project:** This data directly contributed
to achieving objective 4:

_To establish a forum - the Community of Resilience and Crisis Practitioners -
with a lifetime that will extend beyond the end of the project, that will:_

  1. _Bring together infrastructure operators, policy makers and other relevant stakeholders;_

  

  2. _Allow them to exchange views and experiences in a dynamic, interactive and fluent way enabled by social media;_ **Re-use of existing data:** None. 

  

  

**Origin of data:** Evaluation surveys.

**Data utility:** This data was used internally in the project, to improve
each DCoP workshop and raise the attractiveness of becoming a DCoP member and
participating at these events. Part of this data was transcribed and is
presented in Deliverables 5.2, 5.3, 5.5. Tentatively, the unprocessed data
could be analysed in future scientific publications.

#  FAIR Data Management

##  Making data findable

**Discoverability of data (metadata provision):** No metadata in the form of
unprocessed data collected through pilot exercises, interviews, workshops,
questionnaires and surveys (such as interview notes) will be made available
due to reasons explained in the beginning of section 3. Metadata in the form
of descriptions of the process and methodologies used to collect the data, in
addition to the public part of all datasets, are included in the deliverables
available in PDF/A format on the DARWIN project website  7  .

**Identifiability of data:**

  * No system for unique identifiers, such as Digital Object Identifiers, has been applied to the publicly available data in this project. 

  

  * For internal organisation of confidential, anonymised metadata collected during the third DCoP workshop a Google Forms questionnaire created by WP4 was used. A number systems was used to preserve each participants anonymity and privacy while at the same time enabling tracking of responses between sessions for comparison and analysis. 

  

**Naming conventions used:** DARWIN deliverables, which contain all publicly
available data generated in the project, make use of the same persistent
system for identifiers: The identifier starts with the name of the project as
a prefix, followed by a "D" for deliverable, followed by the number of the WP,
followed by the number of the deliverable in that WP, and ending with the full
title of the document, such as: _DARWIN_Dx.y_Title of deliverable_ .

**Approach to search keywords:** All DARWIN deliverables include search
keywords on the cover page.

**Approach for clear versioning:** All DARWIN deliverables includes a table on
page 3 containing clear versioning and description of document history.

**Standards for metadata creation:** No metadata will be made publicly
available. Internally in the project, Excel spreadsheets were used to
aggregate and organise metadata collected from different sources of evidence.

##  Making data openly accessible

**Open data:** All open data in DARWIN is included in the deliverables and the
DARWIN wiki, which is all available through the project website  8  . The open
data consists of analysis of aggregated data collected from different sources
of evidence, as well as descriptions of processes and methodologies for data
collection and generation.

**Closed data:** All metadata in the form of unprocessed data collected
through pilot exercises, interviews, workshops, questionnaires and surveys
(such as interview notes) will remain closed/confidential, due to the reasons
described in the beginning of section 3. For WP1, the rationale for keeping
the dataset "DS.WP1.Literature.Working.Material" closed, and only available to
partners participating in the SLR, is because the data in this spreadsheet
consist of interpretations of what from the scientific content of the SLR
journals are relevant and useful to DARWIN. In addition, sharing data directly
from this spreadsheet, parts of which are directly copied from the scientific
journals themselves, would violate copyright laws.

**How and where data will be made available:** All publicly available data is
made available on the DARWIN project website – either in the form of PDF/A
documents (deliverables), or in the DAWRIN Wiki  9  . The DARWIN Wiki also
includes an option to create and download a "book version" of its content in
PDF/A format. The open research data collected in the project is archived in
NSD's research data repository. NSD is one of the largest archives of its kind
and used by researchers and students in Norway and abroad. Using the NSD data
repository will ensure long-term and secure preservation of the data and
results from the project. In addition, all deliverables are included in
SINTEFs Open Research Data Repository  10  .

**Methods, software or tools needed to access the data:** No specific method,
software or tool, other than an internet connection and internet browser, will
be needed to access the publicly available data from DARWIN. **Access
restrictions:** There will be no access restriction on any open data from
DARWIN. The only minor restriction is that the DARWIN Wiki and its content is
subject to a Creative Commons CC-By 4.0 license, which requires the users to
give credit to the DARWIN project and European Commission as funding agency
when reused.

###  Open access to publications

The DARWIN project has worked by the policy that any publications from the
project must be available as open access (as far as practically possible).
There are two main routes for providing open access publications: Green and
Gold (see Figure 2). Gold open access means the article is available as open
access by the scientific publisher. Some journals require an author-processing
fee for publishing open access. Green open access or self-archiving and means
that the published article or the final peer-reviewed manuscript is archived
by the researcher in an online repository (e.g. project website and SINTEF
Open research repository), in most cases after its publication. Most journals
within the social sciences domains require authors to delay self-archiving to
repositories to 12 months after the article first being published.

**Figure 2: Open Access routes (source: European IPR Helpdesk)**

The project has published more than 5 peer-reviewed publications. The project
members strive to publish in journals were free open access is available (gold
open access), as far as possible. In some occasions, priority might be given
to journals or conferences with high impact were full open access might be not
available. High ranked journals are important to achieve impact in the area of
science and knowledge. Details on publications, journals, conferences and
updated KPIs are included in deliverable 6.7 Dissemination, exploitation and
external collaborations strategy.

##  Making data interoperable

**Interoperability of data:** All publicly available data in DARWIN are made
available in text formats, namely PDF/A, or in text format in the wiki. The
reference list in the DS.WP1.Literature.Analysis uses the APA standard for
referencing. All context specific metadata is summarised on a level that is
not relevant for data pooling.

##  Increase data re-use

**Licenses:** The only data from the project subject to a license is the
DARWIN wiki and its content. This is covered by a Creative Commons CC-By 4.0
license, which lets users use the wiki freely, but requires them to credit the
project and the European Commission as funding agency if any data from this is
referred to or reused externally. All other data are openly available and
under no restrictions for re-use. For more information on IPR principles
applied to other DARWIN results (e.g. simulation tool), please see deliverable
6.8 Plan for Business and Exploitation of Results (Final).

**Re-use:** All deliverables are available for download and re-use on the
DARWIN project website as soon as possible after being submitted to the
European Commission. All public/open deliverables include a description in
section 1 of the intended readership of each deliverable. This outlines who
the deliverable might be useful for outside the project consortium and
provides guidance to external readers on whether the content of the
deliverable is relevant and interesting for them to re-use. Non-public data
from the project will remain available to the consortium partners only after
the end of the project.

**Restrictions on re-use and data embargo periods:** No data embargo period
will be applied to the open deliverables from the DARWIN project. The DARWIN
wiki is currently closed in that a user account login is required to access
the data. All the members of the DCoP have access to the wiki through such
user accounts. On October 15  th  2018 the user account restrictions will be
removed and the DARWIN Wiki will be openly available to anyone who visits the
project website. There is no time-limit on the availability of the open data
from the DARWIN project; it will be available on the project website, in the
NSD archives, and in the SINTEF data repository for an unlimited time-period.
No restrictions on re-use, apart from the license mentioned above, applies to
the open data from DARWIN.

#  Data security

The coordinating organisation of the DARWIN project, SINTEF, is subject to the
laws and guidelines that are relevant for this project in Norway, which at the
beginning of the project were Personal Data Act _LOV 200004_ ‐ _14 nr 13_ and
the Ethical guidelines for Internet Research 14. As of June 20  th  2018 this
law was replaced by _LOV-2018-06-15-38_ , which updates the Personal Data Act
to implement the EU's Privacy Policy (GDPR) in Norway and makes it Norwegian
law. The Norwegian Data Inspectorate is an independent administrative body
that ensures the enforcement of the new Personal Data Act. The Norwegian
Social Science Data Services (NSD) is its partner for implementation of the
statutory data privacy requirements in the research community. At the
beginning of the project SINTEF reported all planned studies to NSD. This
means that specific efforts have been taken towards ensuring the privacy of
participants who take part in DARWIN studies, regardless of whether they live
in Norway or in any other partner‐country. Other partners have similarly been
bound by local  11  and EU-level legislation  12  as well as following their
own in-house ethical procedures in association with research projects (e.g.
BGU for example submits research conducted by the university personnel to an
Internal Review Board committee that has independent authority, and the
studies are conducted only after approval has been provided in writing).

As mentioned in section 2, the project has taken steps to assure that the
handling and storing of data is in accordance with EU law, in particular the
GDPR. All personal data has been stored (if required in encrypted format) on
secure, password/ token‐protected servers.

During the project period, personal data has been de-identified; i.e. name and
other characteristics that could identify a person has been removed and
replaced by a number, which refers to a separate list of identifiable data.
Once the project has finished, data will be completely anonymized, meaning
links to lists of names and contact-information will be deleted and the
anonymisation will be irreversible. No personal data will be stored after the
end of the project period.

All open research data from DARWIN will be documented and archived in the
NSD's research data repository  13  , and thus placed at the disposal of
colleagues who want to re-use or elaborate on its findings  17  .

We ensure that personal data is kept securely. Any publications, including
publications online, neither directly or indirectly lead to a breach of agreed
confidentiality and anonymity  18  .

The research outcomes is reported without contravening the right to privacy
and data protection. (Reference to Deliverable 7.4 _Ethical Approvals_ ,
section 2, Requirement ER7, regarding FOI and KMC practices concerning
personal data).