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                                INTERNATIONAL BUSINESS PAGES
Scaling and Streamlining Collaboration through Better Data Sharing
A roundtable discussion on "Scaling and streamlining collaboration through better data sharing" was organised by
the Open Apparel Registry (OAR). This roundtable discussion was a lively deep dive into how best to share supply
chain data in order to move the apparel industry beyond transparency for transparency's sake. How is data being
used to improve conditions in supply chains, and what are the challenges facing organisations disclosing data?
The roundtable was held as a part of Partner Pre-Forum Sessions on 11 February 2020. Partner sessions are not
organised by the OECD and therefore may not reflect the views of the OECD.
Objective(s) of the sessionmous opportunities.
•What are the challenges/gaps?
•
•Demonstrate the tangible, positive
impacts that better data sharing
creates
Encourage more organisations -
brands, certifications schemes,
MSIs and beyond - to disclose more
information, more quickly, and in a
consistent format, about their sup-
ply chains
Tackle misconceptions that supply
chain disclosure leads to a loss in
competitive advantageAlthough good progress has been
made to date, the industry needs to
move further, faster. Internal bureau-
cracies at large organisations remain
a barrier to uptake; levels of techno-
logical sophistication vary wildly; and
the gap between talking about trans-
parency and taking practical actions
to open up supply chains persists.
Discussion questions
•
Background
At as basic a level as name and ad-
dress information, the quality of sup-
ply chain data in the apparel industry
is poor. With multiple variations for the
name of one facility in existence and
no globally agreed standard for ad-
dress formats, confusion and inefficien-
cy are rife. At a practical level, this can
result in auditors visiting the same fa-
cility two days in a row, or improve-
ment programmes inadvertently being
run twice in the same facility.
Beyond name and address data, chal-
lenges surrounding types of data dis-
closure exist. Initiatives such as the
Transparency Pledge or Fashion Rev-
olution’s Transparency Index have re-
sulted in more brands than ever be-
fore disclosing key data points on their
supply chains, including number of
workers, gender splits and whether or
not a factory is unionized. However lit-
tle thought has been given to how this
data is disclosed - until now.
There is agreement throughout the
apparel industry that data quality is
poor. Whilst this leads to a multitude
of problems, on the flip side, tackling
the issue of data quality presents enor-Does anyone use the data dis-
closed in the name of transparen-
cy anyway?
Share practical examples of how
organisations are using this data,
e.g. BHRRC using it to speed up
remediation in facilities; Dutch Cov-
enant tracking data to identify
projects and areas to invest in.
•What are the challenges, in the
eyes of people in the room, in com-
plying with a standard format for
supply chain disclosure?
•How can multi stakeholder initia-
tives move at a pace on supply
chain disclosure that satisfies all
members?
•What is the most effective way to
involve global unions in supply
chain disclosure, to advocate on
behalf of facilities?
•What’s the role of legislation in scal-
ing up supply chain disclosure?
About The Open Apparel Registry
The Open Apparel Registry (OAR) is a
neutral, open source tool mapping gar-
ment facilities worldwide and assign-
ing a unique ID number to each. It is a
systematized registry which facilitates
NCM-MARCH 2020
60greater collaboration and efficiencies
for all stakeholder groups through a
common ID and open data. It was cre-
ated to establish one central “source
of truth” for name and address infor-
mation and unique identification infor-
mation for the apparel industry.
About the Open Data Standard
Together with industry partners, an
Open Data Standard for the Apparel
Sector will help the industry to move
away from badly formatted data locked
in silos in different databases towards
being able both to sync across sys-
tems, and for data to be compared and
analysed in practical, meaningful ways.
Industry-wide adoption of an Open Data
Standard would:
Provide a level playing field: various
stakeholders like academia, civil so-
ciety, MSIs and consumer organiza-
tions can more easily use this data to
provide accurate and up-to-date anal-
yses, and allow brands to fulfill their
due diligence obligations in a respon-
sible, comparable way.
Make data usable and current: with
the ability to scrape from machine read-
able data, open source databases can
update when a brand publishes an up-
to-date list.
Create one common resource: orga-
nizations can collate supplier lists and
make them accessible to users in
easy-to use tools and maps.
Save time: companies won’t spend
time or money publishing information
which might not be used and organi-
zations analyzing data won’t spend
time collating or trying to sync data.
Make it easy to find factories & as-
sociations: contributing data to pro-
mote sustainable transparent fashion.