Community Capability Model for

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21 Οκτ 2013 (πριν από 3 χρόνια και 10 μήνες)

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Community Capability Model for
Data
-
Intensive
Research


An archaeological case
-
study

Graeme
Earl

Archaeological Computing Research
Group & Digital Economy University
Strategic Research Group

Archaeology:
data
-
intensive research


Big Data research: capture (e.g. CT) & processing (e.g. HPC)


Workflows and provenance


Citation of data


Interlinking data and publication


Retention and migration


Deposit/ Self
-
deposit


Exposure: Semantic Web


AHRC Portus Project


2007
-
11 AHRC Portus
Project


2011
-
2014 AHRC Portus in
the Roman Mediterranean
Project


Excavation, Survey,
Geophysics, Finds Analysis


Computer graphic
simulation; field data
capture and processing;
data management

Portus and the Tiber Valley

Institutional Data Management Blueprint


Produce framework for managing research data for an HEI


Scope and evaluate a pilot implementation plan for an
institution
-
wide data model

6

Policy

Best
Practice

Pilot
Projects

Training &
Workshops

Key Findings

1.
Group research practice is embedded and unified

2.
Group data management capabilities vary widely

3.
Data management is carried out on an ad
-
hoc basis in
many cases

4.
Researchers’ demand for storage is significant

5.
Users want more support for backup, particularly for large
quantities of data

6.
Researchers resort to their own best efforts in many cases,
where central support does not meet their needs

Key Findings


Researchers want to keep
their data for a long time


There is a need from
researchers to share data,
both locally and globally


Data
curation

and
preservation support
needs to be improved


Data can be BIG


Project management is
part of the data cycle


Portus data requirements analysis


Data integration


Data volume


Data variety


Data management (versioning,
migration, linking)


Fit to archaeological practice


Context


Finds


Field practice


Technological practice

Portus Data Guidance


Archaeology Data Service


Guides to Good Practice; Deposit


CIDOC CRM


The English Heritage STAR project


The Forum for Information Standards in Heritage (FISH)


MIDAS XML schema


JISC INCREMENTAL and SUDAMIH


Temporal period metadata: English Heritage Timelines Thesaurus; COMMONERAS


Asset management: JISCDIGITALMEDIA; EXIF, XMP or IPTC data


Getty Art and Architecture Thesaurus


Collections Trust’s Archaeological Objects Thesaurus are used.


Archaeological geospatial data: UK GEMINI (Geo
-
spatial Metadata Interoperability Initiative)


Geophysical data: English Heritage Geophysical Survey Database


Laser scanning data: Laser Scanning Addendum to the Metric Survey Specification
(Heritage3d.org); 3D
-
COFORM


Reflectance Transformation Imaging: CHI and AHRC RTISAD (Empirical Provenance)

How address
human factors holding
research back?


Skills: Broad range of archaeologically specific courseware,
exemplars and best practice guidance


Legal: Remains problematic but increasing support and
expectation of data sharing from administration


Collaboration: archaeology is collaborative from the ground
up


Closed/ Open: Archaeology is at a cross
-
roads; funding means
that open
-
ness is likely to be the only option but disciplinary
cultures need to be addresses; strong open community


E.g. research by Leif Isaksen on Roman Port Networks

How address
economic factors holding
research back?


Sustainability: Research council funding and mandate:
institutional and disciplinary repositories; user
-
focussed
tools


Operational costs: complex issue, being addressed at
Institutional level e.g. policy re: disciplinary
curation


Transactional costs: limited attempts to operate a pay
model for data transactions in archaeology: some museum
and media related; open model dominating current work

How address technical factors holding
research back?


Standards: CIDOC CRM/ CRM
-
EH, FISH etc.


embedding
in technology and data uptake key


Access and exposure: Linked Open Data; green or gold
open access


Platforms and tools: broad range, but increasing trend
towards standardisation


Portus in SharePoint 2010












Archaeology
Sharepoint

Pilot (Metadata and Visualisation

Component
)

Virtual Research Environment (VRE)

Toolkit for SharePoint


SES
Sharepoint

Pilot (
Project Management
)

DepositMO Project Overview


Embed deposit culture into
everyday work of researchers


Turn repositories into an
extension of the desktop


Extend Microsoft Office


Target
e
P
rints

and
Dspace


Enable
repository deposit as
part of everyday workflow

Future for Portus Data


Planned for deposit from the start of the AHRC Portus Project


Complete migration to partnership:
Sharepoint

archive and ARK
database


Strategies for big data


Strategies for integrated workflows

Scientific
Workflows (e.g. I2S2;
MyExperiment
) and Blogs (e.g.
Blog3)


e.g. RTI

SharePoint
2010:


(Big) Data

Metadata

Project pages, blogs,
wikis, finances

www.southampton.ac.uk/muvis

Future for Portus Data


The latest AHRC funding (2011
-
2014) will take the project
from analysis of data through to linking of publications to
the data upon which they are based


Expose Linked Open Data


Repository integration is core to our on
-
going work,
including self
-
deposit (SWORD
-
ARM &
DataPool
)


VRE developments to enable
Sharepoint

-
> Repository


Experimental Data
-
Publication linking e.g. RIN


Thank you.

graeme.earl@soton.ac.uk

Archaeological Computing Research Group

Digital Economy USRG