#  Executive Summary

Recent events have demonstrated that Earthquake Induced Liquefaction Disasters
(EILDs) are responsible for tremendous structural damages and fatalities
causing in some cases half of the economic loss caused by earthquakes. With
the causes of liquefaction being substantially acknowledged, it is important
to recognize the factors that contribute to its occurrence, to estimate
hazards, then to practically implement the most appropriate mitigation
strategy considering the susceptibility of the site to liquefaction, the type
and size of the structure. The LIQUEFACT project addresses the mitigation of
risks to EILD events in European communities with a holistic approach. The
project deals not only with the resistance of structures to EILD events, but
also with the resilience of the collective urban community in relation to
their quick recovery from an occurrence. The LIQUEFACT project sets out to
achieve a more comprehensive understanding of EILDs, the applications of the
mitigation techniques, and the development of more appropriate techniques
tailored to each specific scenario, for both European and worldwide
situations.

#  Introduction, Goal and Purpose of this document

The LIQUEFACT project is a collaborative project involving 11 partners from 6
different countries

(UK, Italy, Portugal, Slovenia, Norway and Turkey) including representation
from 4 EU Members States and is organised in three phases (Scoping, Research
and Implementation) across nine work packages (WPs), each of which
encapsulates a coherent body of work. The first 7 WPs highlight the major
technical activities that will take place throughout the project and have been
scheduled to correlate with one another. The final 2 WPs (WP8 and WP9) are the
continuous activities which will take place throughout the duration of the
project.

In order to ensure the smooth running of the project for all project partners
management structures and procedures are necessary to facilitate effective and
efficient working practices. Following the management information included in
the Grant Agreement (GA) and its annexes, the Consortium Agreement (CA),
Commission rules as contained in the Guidance Notes and organisational Risk

Management policies and procedures including Corporate Risk Strategy, Policy
and Guidance and Health and Safety Policies this manual highlights important
procedures to be carried out in order to monitor, coordinate and evaluate the
management activities of the project.

Goal: **This document aims to aid the LIQUEFACT project consortium to meet
their responsibilities regarding research data quality, sharing and security
though the provision of an initial data management plan in accordance with the
Horizon2020 Guidelines on Open Access.**

#  Admin Details

**Project Name:** LIQUEFACT Data Management Plan

**Project Identifier:** LIQUEFACT

**Grant Title:** 700748

**Principal Investigator / Researcher:** Professor Keith Jones

**Project Data Contact:** Professor Keith Jones, +44(0) 1245 683907.
keith.jones@anglia.ac.uk

**Description:** Assessment and mitigation of liquefaction potential across
Europe: a holistic approach to protect structures/ infrastructure for improved
resilience to earthquake-induced liquefaction disasters.

**Funder:** European Commission (Horizon 2020)

**Institution:** Anglia Ruskin University  
  
<table>  
<tr>  
<th>

**Task**

</th>  
<th>

**Data**

</th>  
<th>

**Type**

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

T1.1

</td>  
<td>

Reference list/Bibliography

</td>  
<td>

Qualitative

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

T1.2

</td>  
<td>

Questionnaire

</td>  
<td>

Qualitative and Quantitative

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

T1.4

</td>  
<td>

Glossary/Lexicon

</td>  
<td>

Qualitative

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

T2.1

</td>  
<td>

Ground characterization; Geophysical prospecting; Soil Geotechnical and
Geophysical tests; Ground investigations; Lab testing

</td>  
<td>

Quantitative

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

T2.6

</td>  
<td>

Reference list/Bibliography

</td>  
<td>

Qualitative

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

T3.1

</td>  
<td>

Numerical modelling; Experimental data.

</td>  
<td>

Quantitative

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

T3.2

</td>  
<td>

Field trials and pilot testing; Simulations; Numerical modelling

</td>  
<td>

Quantitative

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

T4.1

</td>  
<td>

Soil characterization (Mechanics)

</td>  
<td>

Quantitative

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

T4.2

</td>  
<td>

Centrifugal Modelling

</td>  
<td>

Quantitative

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

T4.3

</td>  
<td>

Field trials; Lab and Field testing

</td>  
<td>

Quantitative

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

T4.4

</td>  
<td>

Numerical modelling

</td>  
<td>

Quantitative

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

T5.2

</td>  
<td>

Individual and Community resilience measures/metrics

</td>  
<td>

Qualitative

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

T5.3

</td>  
<td>

Cost/Benefit Models

</td>  
<td>

Quantitative

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

T7.1

</td>  
<td>

Reference list/Bibliography

</td>  
<td>

Qualitative

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

#  Data Summary

  * Quantitative and Qualitative data will be collected in line with the overarching aims and objectives of the LIQUEFACT project to help deliver a holistic approach to the protection of structures, infrastructure and improve community resilience to earthquake induced liquefaction disasters across Europe. 

  

  * It is important to recognise the opportunity for mitigation strategies to help aid protection for both people, places and communities through a more comprehensive understanding of Earthquake Induced Liquefaction Disasters (EILDs). 

  

  * Data collection will aid the development and application of techniques, applicable across European and global situations. 

  

  * Site specific data collection at differing case study sites across European will be undertaken alongside data gathering from the academic and community fields to better inform decision making. 

  

  * It is hoped that this data will be useful to a wide ranging, spatially and temporally diverse audience - across the policy-practitioner interface. 

  

#  Fair Data

##  2.1

  * It is anticipated that data will be made available in varying forms for varying uses 

  

  * Identification mechanisms will be utilised to improve the usability of the data within differing contexts 

  

  * Data cleansing will be considered in order to present clear and considered formatting 

  

  * Versions, Keywords and Digital Object Identifiers will be explored in principle to aid the applicability of data 

  

  * Anglia Ruskin University adheres to the Research Data Management Guidelines; encouraging scientific enquiry and debate and increase the visibility of research encouraging innovation and the reuse of existing datasets in different ways, reducing costs by removing the need to collect duplicate research data encouraging collaboration between data users and data creators maximising transparency and accountability, and to enable the validation and verification of research findings and methods 

  

  * encouraging scientific enquiry and debate and increase the visibility of research 

  

  * encouraging innovation and the reuse of existing datasets in different ways, reducing costs by removing the need to collect duplicate research data 

  

  * encouraging collaboration between data users and data creators 

  

  * maximising transparency and accountability, and to enable the validation and verification of research findings and methods 

  

##  2.2

  * Appropriate data will be made available through the use of an online portal or reputable repository, details of which are yet to be confirmed but may include Zenodo or  _www.Re3data.org_

  

  * Generic software tools will be predominantly required including MS Office and SPSS 

  

  * A Technical Data Report will be provided for each data set through the creation and statement of the aims, objectives and methodology 

  

##  2.3

  * Text mining tools and methods will help external actors to extract common and relevant data 

  

  * Commonly used ontologies will be utilised 

  

  * A glossary of terms will be collated by project partners 

  

  * Data files will be saved in an easily-reusable format, commonly used by the research community. Including the following format choices; .txt; .xml; .html; .rft; .csv; .SPSSportable; .tif; .jpeg; .png 

  

##  2.4

  * Data will be stored either on each institution’s back-up server or on a separate data storage device that is kept in a secure and fireproof location, separate from the main data point 

  

  * Data will be released no later than the publication of findings and within three years of project completion and in line with the commercial sensitivity of the data 

  

  * Primary data will be securely retained, in an accessible format, for a minimum of five years after project completion 

  

#  Allocation of Resources

  * At this stage costs have not been accounted for in the H2020 LIQUEFACT project budget. 

  

  * Data Management Plans will be regularly updated by the Project Coordinator with data collection, collation and usability the responsibility of all partners involved in the project. 

  

  * By providing this data it is anticipated that future utilisation will contribute to the long term success of the LIQUEFACT project and enhance EILD improvements across and between countries and organisations 

  

#  Data Security

This research aims to follow these principles;

  * Avoid using personal data wherever possible. 

  

  * If the use of personal data is unavoidable, consider partially or fully anonymising the information to obscure the identity of the individuals concerned. 

  

  * Use secure shared drives to store and access personal data and sensitive business information, ensuring that only those who need to use this information have access to it. 

  

  * Use remote access facilities to access personal data and sensitive business information on the central server instead of transporting it on mobile devices and portable media or using third party hosting services 

  

  * Personal equipment (such as home PCs or personal USB sticks) or third party hosting services (such as Google Mail) should not be used for high or medium risk personal data or business information. 

  

  * If email is used to send personal data or business information outside the consortium environment, it should be encrypted. If you are sending unencrypted personal data or business information to another email account, indicate in the email title that the email contains sensitive information so that the recipient can exercise caution about where they open it. 

  

  * Do not use high or medium risk personal data or business information in public places. When accessing email remotely, exercise caution to ensure that you do not download unencrypted high or medium risk personal data or business information to an insecure device. 

  

  * Consider the physical security of personal data or business information, for example use locked filing cabinets/cupboards for storage. 

  

  * The fifth principle of the Data Protection Act 1998 states that personal data processed for any purpose or purposes should not be kept for longer than is necessary for that purpose or purposes. It is therefore important to implement retention and disposal policies so that personal data and sensitive business information is not kept for longer than necessary. 

  

#  Ethical Aspects

  * Ethical considerations in making research data publicly available are clearly designed and discussed by Anglia Ruskin University regarding data sharing throughout the entire data cycle. 

  

  * Ensuring compliance with the Data Protection Act 1998. 

  

  * Informed consent will be obtained from all participants for their data to be shared/made publicly available. Providing participants with sufficient information to make an informed decision regarding involvement 

  

  * Data will always be anonymised with examples of direct or sensitive identifiers removed 

  

  * The user (licensor) will be given due credit for work when it is distributed, displayed, performed, or used to derive a new work. 

  

#  Other Procedures

  * Data Protection Act 1998 

  

  * National Data Protection Laws 

  

  * Anglia Ruskin University Research Training, Ethics and Governance as part of the Research 

  

Policy and Support group within the Research and Innovation Development Office

  * Anglia Ruskin University's Research, Innovation and Knowledge Exchange strategy 20162017 

  

  * DMP Online -  _https://dmponline.dcc.ac.uk/_

  

  * Zenodo -  _https://zenodo.org/_

  

  * OpenAIRE -  _https://www.openaire.eu/_