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User Guide on Global Monitoring Plan Data Warehouse
for DECISION MAKERS and USERS
version 3
September 2015
Stockholm Convention Regional Centre in the Czech Republic and
Research Centre for Toxic Compounds in the Environment
Masaryk University, Brno, Czech Republic
RECETOX Report no. 529
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User Guide on Global Monitoring Plan Data Warehouse for Decision
Makers and Users
version 3
Šebková, K., Gregor, J., Hůlek, R., Borůvková, J., Kalina, J., Šalko, M., Novák, R., Klánová, J.
Research Centre for Toxic Compounds in the Environment
and Stockholm Convention Regional Centre in the Czech Republic
Masaryk University, Brno, Czech Republic
September 2015
RECETOX Report no. 529
Citation: Šebková, K., Gregor, J., Hůlek, R., Borůvková, J., Kalina, J., Šalko, M., Novák, R., Klánová, J.:
User Guide on Global Monitoring Plan Data Warehouse for Decision Makers and Users, training
material, version 3, Stockholm Convention Regional Centre in the Czech Republic, Research Centre
for Toxic Compounds in the Environment (RECETOX), Masaryk University, Brno, Czech Republic,
RECETOX report no. 529, September 2015, 24 pages.
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Contents
User Guide on Global Monitoring Plan Data Warehouse for DECISION MAKERS and USERS ............. 1
User Guide on Global Monitoring Plan Data Warehouse for Decision Makers and Users.................. 1
Acknowledgements .............................................................................................................................. 2
Abbreviations ....................................................................................................................................... 3
Introduction ......................................................................................................................................... 5
Global Monitoring Plan Data Warehouse in brief ........................................................................... 6
Why to use the electronic visualization tools for environmental data? ............................................. 7
Content of the GMP DWH Data Visualization ...................................................................................... 8
Creating a map for UN region/country and chemical .......................................................................... 9
Exploring availability of data for a particular chemical and country ................................................. 13
Looking at POPs concentrations ........................................................................................................ 15
Chasing Time Trends .......................................................................................................................... 18
Exporting Summary Information ....................................................................................................... 23
Acknowledgements
Authors of this document would like to acknowledge support in preparation of this training
material by the Small Grant Project provided for by the Secretariat of the Basel, Rotterdam and
Stockholm Conventions as well as the contribution of the RECETOX research infrastructure
through its GENASIS core unit whose expertise is supported by the projects of the Ministry of
Education, Youth and Sports of the Czech Republic (LM2011028) and (LO1214).
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Abbreviations
AMAP Arctic Monitoring and Assessment Programme
COP Conference of the Parties (to a Convention)
DDD Metabolite of DDT
DDE Metabolite of DDT
DDT Dichlorodiphenyltrichloroethane
dl‐PCB Dioxin‐like PCBs
ECD Electron capture detector
EMEP Co‐operative Programme for Monitoring and Evaluation of the Long‐Range
Transmission of Air Pollutants in Europe
EPA Environmental Protection Agency
FAO Food and Agriculture Organization of the United Nations
GAPS Global Atmospheric Passive Sampling Survey
GC Gas chromatography
GCG Global Coordination Group for the Global Monitoring Plan
GEF Global Environment Facility
GENASIS Global Environmental Assessment Information System
GMP Global Monitoring Plan
GMP DWH Global Monitoring Plan Data Warehouse
HBB Hexabromobiphenyl
HCB Hexachlorobenzene
HCHs Hexachlorocyclohexanes
HPLC High performance liquid chromatography
HRMS High resolution mass spectrometer
LOD Limit of detection
LOQ Limit of quantification
LRMS Low resolution mass spectrometer
LRTAP Long Range Transboundary Air Pollution Convention (UNECE)
MS Mass selective detector
ND Not detected
NGOs Non‐governmental organizations
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OC Organochlorine
OCP Organochlorine pesticide
PBDEs Polybrominated diphenyl ethers
PCB Polychlorinated biphenyls
PCDD Polychlorinated dibenzo‐p‐dioxins
PCDF Polychlorinated dibenzofurans
PCP Pentachlorophenol
PFOS Perfluorooctane sulfonate
POPs Persistent organic pollutants
PUF Polyurethane foam
QA/QC Quality assurance and quality control regimes
RECETOX Research Centre for Toxic Compounds in the Environment
ROGs Regional organization groups for the Global Monitoring Plan
SOP Standard operating procedure
TEF Toxic equivalency factor
TEQ Toxicity equivalents
UNECE United Nations Economic Commission for Europe
UNEP United Nations Environment Programme
WHO World Health Organisation
XAD Styrene/divinylbenzene‐co‐polymer resin
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Introduction
This training document aims at providing useful information for users of the Global Monitoring
Plan Data Warehouse and in particular for the decision makers. Objective of this document is to
provide an oversight on how to best benefit of the visualization tools embedded in the Global
Monitoring Plan electronic tool and in particular in its Data Visualization.
The document strives to briefly explain the background of the Global Monitoring Plan Data
Warehouse and then looks in detail into its parts, such as where to find particular types of
information and how to create and use maps with POP levels, charts and summary tables for a
subsequent use in reports, policies and strategies.
In addition, several examples are shown for inspiration to decision makers on how to work with
the national information further – either when setting up national strategies or evaluating
efficiency of measures already set.
Further, the User guide for decision makers is a fourth in the set of four training materials
prepared to support use of the Global Monitoring Plan electronic tool. The additional documents
are Global Monitoring Plan Data Warehouse (GMP DWH) Overview, Tools in the GMP DWH, and
User guide for data providers.
Moreover, the authors of this training document would like to bring attention to additional short
complementary document – GMP DWH Factsheet for users ‐ providing a summary for the work
with the visualization tools, showing a step‐by‐step procedures as well as providing a hint if there
are any difficulties. We believe that both the training document and the factsheet would serve as
useful companions when working with the GMP Data Warehouse Visualization.
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Global Monitoring Plan Data Warehouse in brief
What is it?
Global Monitoring Plan for Persistent Organic Pollutants (POPs) under the Stockholm Convention
(GMP DWH) is an online tool developed for handling, storage, approval and visualization of POPs
monitoring data generated in the frame of the Global Monitoring Plan (GMP) worldwide on the
basis of the decision by the COP SC‐6/23. The tool comprises two main parts ‐ data repository and
visualization portal. In addition, tools for statistical processing and analyses as well as presentation
modules and export tools are available to users.
Scope and content
GMP DWH compiles, archives and shows aggregated global data on POPs listed in the Stockholm
Convention including supplementary data, from core matrices ‐ ambient air, human tissues ‐
breast milk and blood, and water. The aim is to identify changes in POP levels over time and
trends, where available.
At present, it contains information collected in the framework of the Global Monitoring Plan by
international and national monitoring programmes for air, by international surveys for milk and by
research cruises for water. All data contained in the GMP DWH are validated and approved by the
regional organization groups of the five UN regions. These data are presented also in the regional
monitoring reports.
Access
The electronic tool ‐ GMP DWH ‐ is publicly accessible, online via Internet. Standard web browsers
are to be used (Internet Explorer, Mozilla Firefox, Google Chrome) and their most recent versions
are recommended.
www.pops‐gmp.org
Who is responsible for GMP DWH?
The GMP DWH was has been developed by the Stockholm Convention Regional Centre in the
Czech Republic through the Research Centre for Toxic Compounds in the Environment and the
Institute of Biostatistics and Analyses, Masaryk University, Brno, Czech Republic, under the
guidance of the GMP Global Coordination Group, and Secretariat of the Stockholm convention
mandated by the decision SC‐6/23 in line with Chapter 6 of the Guidance on the Global Monitoring
Plan for Persistent Organic Pollutants (the most recent version is found in
UNEP/POPS/COP.7/INF/39).
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Why to use the electronic visualization tools for environmental data?
The Stockholm Convention on persistent organic pollutants has been collecting information on
occurrence of POPs and their levels in the environment for over a decade. However, the first
review of the information published in the first round of GMP regional monitoring reports
published in 2008, have revealed significant discrepancies in data quality, scope, volumes and also
in interpretation and use. Despite the fact that these reports were prepared by experts, difference
in operating procedures under established monitoring programs and lack of guidance on how to
present and report information led to significant losses of reported data.
In addition, the information was published in .pdf format and it was difficult to work with despite
the fact that such reports contained extremely valuable information. Using reports, pdf files or
excel sheets are not the most sophisticated tools in the 21 century to work with large volumes of
data. Furthermore, users are not able to look simultaneously at the same information across the
globe.
The critical review of the content of the first reports suggested that user friendly electronic
reporting format to maximize use of available data as well as the effective information
dissemination – not just for the needs of the Stockholm Convention, but also for the use of
individual governments, data providers, funding institutions, industry and other relevant
stakeholders including World Health Organization and other international organizations.
Incentives of using the electronic tools for reporting and visualization are the following:
users of such electronic tools are able to benefit more fully from the potential of and
information in data collected (by using tools embedded in the electronic data repository)
electronic visualization tools enhance visibility of the work done and that is also valid for
institutions carrying the work or providing funding support.
electronic tools offer more options for data analyses and provide also technical support
including secured data repository and sophisticated presentation and export tools
information is accessible online, access is not limited to one computer, office, institution,
or country.
electronic tools can also accommodate multiple users at the same time. and, last but not least, harmonized structure of archiving and presentation also increases
data comparability and use.
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Content of the GMP DWH Data Visualization
The following visualization tools are comprised in the GMP DWH:
spatial distribution (monitoring overview in the map)
data availability (sampling frequency ‐ compounds and sampling frequency ‐ years)
summary statistics (inspects measured concentrations)
time series analysis (allows multiple site map overview through a trend map, time series
availability or individual analysis of a single time series in a chart)
data exports (downloads of data, summary tables or charts in various formats)
How and where to use it?
1. Go to http://www.pops‐gmp.org/visualization‐2014/
2. Apply “Open data selection” to pick up data of interest from the pool of available data and
thus create datasets that will be further analyzed, shown and exported if needed
3. Use filters in the data selection to focus on a matrix or particular chemical or a country and
monitoring activities and create charts, maps and tables that can be subsequently and
directly used in the reports, policies or in awareness raising materials
The following section shows several presentation outputs that may be of use ‐ maps, charts, time
trends and tables containing data or summary information.
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Creating a map for UN region/country and chemical
Tasks:
1 ‐ Which countries carry ambient air monitoring in Africa? And on what types of sites?
2 ‐ How many sampling sites for ambient air monitoring are in Kenya?
Solution Task 1
Eenter Data Visualization and on Data Selection left side of the screen select the following options
(see Figure 1 below):
Apply the following options in the items of the Data Selection:
1. “Matrix”= select “Air” and then click on “Next” (otherwise the choice is not confirmed)
2. “Matrix specification” = keep both and click on “Next”
3. “UN Regional Group” = select Africa and click on “Next”
Country option then lists all countries that apply; There are 17 countries, as shown on the map in
Figure 1.
Figure 1 – Data Selection items to solve Task 1
Which types of sites? ‐ use the same data set, but in the “Settings and legend” on the right side of
the screen choose the stratification “Site type” ‐ see below. The results then show on the screen in
Figure 2.
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Figure 2 ‐ Site types in Africa that carry out ambient air monitoring
The output can also be viewed and exported: select option “Spatial distribution”, scale the map
(zoom in (+) or zoom out (‐), as necessary ‐ on the right side of the map. Then click on export the
maps (blue button on the left hand side of the screen and legend with site type selection, Figure
3).
Figure 3 – Buttons for downloading the map/legend as a PNG file
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Solution Task 2: How many sampling sites for ambient air monitoring are in Kenya?
Enter Data visualization, apply the following Data Selection (left side of the screen) items
1. “Matrix”= select “Air” and then click on “Next” (otherwise the choice is not confirmed)
2. “Matrix specification” = keep both and click on “Next”
3. “UN Regional Group” = select “Africa” and click on “Next”
4. “Country” = select “Kenya” and click on “Next”
Two dots appear on the screen – a site at Mt. Kenya and site in Nairobi as shown in Figure 4.
However, to be absolutely sure about number of sites click on Data exports and choose “Sites
Summary”. A table appears (Figure 5) that lists four items (two of them are identical regarding
location, but data provider is different).
The answer to Task 2 is: There are three sampling sites for ambient air in Kenya.
Figure 4 –Sampling sites in Kenya in the “Spatial Distribution” tool
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Figure 5 – Overview of sampling sites in the selected data set (Task 2)
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Exploring availability of data for a particular chemical and country
Tasks: Are there any human milk data for PBDEs in Latin America? Which country has the most
data?
Solution
Enter Data Visualization and apply the following Data Selection (left side of the screen) items:
1. “Matrix”= select “Human milk” and then click on “Next” (otherwise the choice is not
confirmed)
2. “Matrix specification” = do not change and click on “Next”
3. “UN Regional Group” = select “GRULAC” and click on “Next”
4. “Country” = keep all items and click on “Next”
5. Find the item “Compound” = very last one in the Data Selection list and select “PBDEs” and
click on “Next”.
Spatial Distribution shows a map with shaded areas and dots in the middle – countries that have
analyzed PBDEs in their milk samples. The result is not in the map, but in a chart in the “Data
Availability”. Select the option “Data Availability – Parameters” that clearly shows that there are
two countries with two measurements (see Figure 6).
Figure 6 – Data availability for PBDEs in Latin America: Data Availability – Parameters view
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We can conclude that yes, PBDEs data are available in the Latin America in ten countries (Figure 6)
and there are two countries, Chile and Haiti with data available for two different years (Figure 7).
Figure 7 – Distinction in taking samples: Data Availability – Time view
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Looking at POPs concentrations
Tasks:
1 – What is the median concentration for PCB 28 in air at Lake Bosumtwi (in Ghana) in 2008?
2 – Show a regional overview of concentrations for p,p’‐DDT in Asia in human milk
Solution Task 1
Enter Data Visualization, apply the following Data Selection (left side of the screen) items:
1. “Matrix”= select “Air” and then click on “Next” (otherwise the choice is not confirmed)
2. “Matrix specification” = select “Passive” and click on “Next”
3. “UN Regional Group” = select “Africa” and click on “Next”
4. “Country” = select “Ghana” and click on “Next”5. Find the item “Compound” = very last one in the data selection list and select “PCB –
indicator” and click on “Next”. The spatial distribution shows a map with four dots. One of
them is Lake Bosumtwi.
PCB Concentrations are shown in the Summary Statistics. At first, it is necessary to select
information (see Figure 8). Then, a box‐whisker plot chart appears. By clicking on the Lake
Bosumtwi item in the appropriate year we can read the result in the dark rectangle (see Figure 9).
Figure 8 – Need to fill required information into Summary Statistics filter
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Figure 9 – What is the median concentration for PCB 28 in air at Lake Bosumtwi (in Ghana) in
2008?
Solution Task 2
Enter Data Visualization and apply the following Data Selection (left side of the screen) items:
1. “Matrix” = select “Human milk” and then click on “Next” (otherwise the choice is not
confirmed)
2. “Matrix specification” = do not change and click on “Next”
3. “UN Regional Group” = select “Asia and Pacific” and click on “Next”
4. “Country” = keep all items and click on “Next”
5. Find the item “Compound” = very last one in the data selection list and select “DDT” from
the list and click on “Next”.
Data set is now ready to be seen in the Summary Statistics view. As in the case above, we need to
fill the filter and then a chart appears as shown in Figure 10. Order on the y axis (sampling sites for
human milk data = countries) can be changed in the “Settings” filter on the right side of the
screen. For our case choose “Order direction” as “Descending" and the output will be shown on
the screen in the chart; data are shown in the order of country and year that will be starting with
the most distant one. The box‐whisker plot chart as well as its legend can be downloaded by the
blue buttons each. Both files are exported in the PNG format and can be subsequently used in
reports.
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Figure 10 – Regional overview of concentrations for p,p’‐DDT in Asia in human breast milk
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Chasing Time Trends
Tasks:
Task 1 – Find sampling sites that show a statistically significant increasing or decreasing trend for
HCB in the air (both passive and active sampling) in Europe
Task 2 – Show changes in HCB concentrations over time on one site with a significant trend in
Europe
Solution
Enter Data Visualization, apply the following Data Selection (left side of the screen) items
1. “Matrix” = select “Air” and then click on “Next” (otherwise the choice is not confirmed)
2. “Matrix specification” = keep both options “Active” and “Passive” and click on “Next”
3. “UN Regional Group” = select “CEE” and “WEOG”, as “Europe” geographically contains
both the WEOG part and CEE part and click on “Next”
4. “Country” = either deselect all countries on the list that are not from Europe or keep all
and click on “Next”
5. Finally, in the item “Compound” = very last one in the data selection list and select “HCB”
and click on “Next”.
Choose “Time Series” option in the menu and a screen asking for selection of matrix, compound
and unit appears as shown below. The selection is made in “filters” on the right side of the screen.
Figure 11 – Filters in Time Series
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The output for our task will be available in two parts ‐ firstly, on a data set related to “active”
sampling of air (matrix specification) and then for “passive” sampling of ambient air as shown in
Figures 12 and 13.
Figure 12 – Available time trends in a regional overview in development of HCB concentrations
over time in Europe. Data were acquired by active sampling of ambient air
Figure 13 – Available time trends in a regional overview in development of HCB concentrations
over time in Europe. Data were acquired by passive sampling of ambient air.
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The result shows in a map with coloured circles. It is a summary development of HCB
concentrations in the selected data set (Europe). The map can be zoomed in (use +) in the top
right corner of the map to adjust the size you prefer. The circles in the map show a trend over time
on a particular sampling site in Europe. Colour coding represents the type of the trend ‐ green
shows statistically significant decreasing trends, red is a statistically significant increasing trend,
blue is a trend that is statistically non‐significant and grey circles represent sites with no trend. The
size of the circle is representing the concentration and its range over the elected data set appears
in the legend. Both, the map and the legend are downloadable (blue buttons on the left side of the
map and under the legend.
Finally, the task also request to show changes in HCB concentrations over time on a site with a
significant trend. Figure 14 shows three such sites: Košetice and Lista (decreasing) and Birkeness
(red – increasing). To show a development over time on a site, we can either select the site in the
trend map and “Show Time Series Analysis” blue button appears on the right side of the screen
(Figure 14) or we can directly select the option “Time Series Analysis” in the submenu “Time
series”, left side of the screen.
A dialogue appears and after filling in the information for our sampling site with a statistically
significant trend (this time we choose the Košetice site), the following chart appears as shown in
Figure 15.
Figure 14 –Selecting a site and switching to the time series mode
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Figure 15 – Changes in HCB concentrations over time as observed on Košetice sampling station for
active sampling of ambient air
To show the trend, “Settings” menu on the right side of the screen needs to be applied. Select
“Exponential” for the trend type and the following chart with description appears as provided by
in Figure 16.
Figure 16 – Changes in HCB concentrations over time as observed on Košetice sampling station for
active sampling of ambient air
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Please note that decision whether to show a trend in the time series analysis depends on the p‐
value of the Mann‐Kendal test.
If a p‐value of employed tests displayed in Trend Description (below the chart) is lower than 0.05,
a trend is observed in this time series. Should p‐value be higher than 0.05, observed trend is
statistically non‐significant and its further display is not recommended. Chart, legend, raw data as
well as summary are downloadable (blue buttons on the screen in Figure 16).
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Exporting Summary Information
Task: Show and export summary information for data sources and employed analytical methods
for analyses of HCB concentrations in the dataset used in the previous task (monitoring of
ambient air, both passive and active sampling in Europe)
Solution
Use the selected data set from previous task (see description in page 18) and then select “Data
Exports” in the menu bar. Then, submenu in the upper left part of the screen offers four items:
Export of All Data Selected
Sites Summary
Analytical Methods Summary
Data Sources Summary
For our case, we need to choose the two last ones. Relevant tables will show on the screen (see
Figures 17 and 18); a table can be exported to XLS format by the blue button in the top right
corner of the screen as shown blow. In addition, should a table be larger, the user can search data
in the table by using input box above the table as well as sort columns by clicking on a column
heading.
Figure 17 – Analytical methods employed in analyses of HCB acquired by active and passive
sampling in Europe
The table in Figure 17 provides a summary overview of analytical methods used in the selected
data set (monitoring of ambient air, both passive and active sampling, in Europe for HBC). It
contains information relevant for HCB only (compound specific). Additional information in each
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line of the table is related to data availability in the GMP Data Warehouse for the selected set
(First Year and Last Year) and identifies a data source (Monitoring Programme). Please note that
"not classified" for the analytical method means that more than one analytical method was
employed during a calendar year.
Figure 18 – Table on data sources in the selected data set (ambient air, Europe and HCB)
Finally, the Data Exports also allow export of all data. However, the “All data” is the data set is the
selection defined by user and it is made available in CSV format to allow for further work on the
data set by the user (i.e. by using other tools, software etc.).
Please note that the CSV file structure (comma separated values where semicolon is used as cell
separator) is uniform as shown in the list of entries in the body of the page on “Export of All Data
Selected”. Consequently, certain columns in the download may become empty if the selected data
set does not contain values for them.