Version 1.1 by Helena K. on 2026/01/16 11:45

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Helena K. 1.1 1 {{box title="**Contents**"}}
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4
5 = 1. Problem statement =
6
7 In many cases, data that are exchanged in SDMX data messages do not relate to the calendar year.  However, many statistical system implementations require that data are mapped to and stored as the real calendar.
8
9 This guideline provides recommendations for the following four use cases of such non-calendar year data:
10
11 1. Reporting year is equal to the calendar year
12 1. Reporting year starts on the first day of a month different to January
13 Example: school year starting on the 1^^st^^ of September, fiscal year starting on the 1^^st^^ of July
14 1. Reporting year starts on a given day in the year
15 Example: tax year starting on the 5^^th^^ of April
16 1. Reporting year **ends** on a given day in the year
17 Example: fiscal year ending on the 30^^th^^ of June, equivalent to fiscal year starting on the 1^^st^^ of July Y-1
18
19 It is also required to take into account reporting frequencies other than annual (e.g. quarterly, monthly). The use cases lined out above can be visualised graphically. Note that, in this example, all time spans would use the year 2015 (“2015” or “2015-A1”) as the reference year in reporting:
20
21 | |A|(% colspan="12" %)2014|(% colspan="12" %)2015|(% colspan="12" %)2016
22 |Case|Q|(% colspan="3" %)1|(% colspan="3" %)2|(% colspan="3" %)3|(% colspan="3" %)4|(% colspan="3" %)1|(% colspan="3" %)2|(% colspan="3" %)3|(% colspan="3" %)4|(% colspan="3" %)1|(% colspan="3" %)2|(% colspan="3" %)3|(% colspan="3" %)4
23 |1| | | | | | | | | | | | | |(% colspan="12" %) | | | | | | | | | | | |
24 |2a| | | | | | | | | | | | | | | | | | | | | |(% colspan="12" %) | | | |
25 |2b| | | | | | | | | | | | | | | | | | | |(% colspan="12" %) | | | | | |
26 |3| | | | | | | | | | | | | | | | |5+|(% colspan="11" %) |-4| | | | | | | |
27 |4| | | | | | | |(% colspan="12" %) | | | | | | | | | | | | | | | | | |
28 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
29
30
31
32 Assuming that the time dimension has the ID TIME_PERIOD, case 1 could use TIME_PERIOD=”2015”. All other cases would need to use the notation TIME_PERIOD=”2015-A1”. For the rest of the document we use the more general notation “2015-A1”. [[~[1~]>>path:#_ftn1]]
33
34 For quarterly or monthly data, the first period of the reporting year would also need to be read as relative to the start of the reporting year. Here are examples for case 2 if the data is quarterly (2a) or monthly (2b):
35
36 | |A|(% colspan="12" %)2014|(% colspan="15" %)2015|(% colspan="14" %)2016
37 |Case|Q|(% colspan="3" %)1|(% colspan="3" %)2|(% colspan="3" %)3|(% colspan="3" %)4|(% colspan="3" %)1|(% colspan="3" %)2|(% colspan="5" %)3|(% colspan="4" %)4|(% colspan="4" %)1|(% colspan="4" %)2|(% colspan="3" %)3|(% colspan="3" %)4
38 |2a| | | | | | | | | | | | | | | | | | | |(% colspan="2" %) |(% colspan="2" %) |(% colspan="4" %)Q1|(% colspan="4" %)Q2|(% colspan="4" %)Q3|(% colspan="3" %)Q4| | | |
39 |2b| | | | | | | | | | | | | | | | | | | |1|(% colspan="2" %)2|(% colspan="2" %)3|.|.|(% colspan="2" %).| | |(% colspan="2" %) | | |(% colspan="2" %) | | | | | |
40 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
41
42
43
44 Note that in case 2a, the third quarter of reporting year 2015 (TIME_PERIOD=2015-Q3) is covering data from March until June 2016. In case 2b, the seventh month of reporting year 2015 (TIME_PERIOD=2015-M07) is covering data for January 2016.
45
46 It is clear in the graphical view that time series under case 2b should not be directly compared with time series under case 4. If it is required to compare figures of the same time period, the 2015 observation of the type 2b series is compared with the 2016 figure of the type 4 series. Comparing a 2a series with others from the example may be more complicated, because exact alignment of the timelines might not be possible without additional data. It is possible to estimate aligned timelines by doing a time transformation using formulas; for instance, shifting the time series to comply with the calendar year. The methodological aspects of time transformation are not part of these guidelines. For coding the results of such transformations, please refer to the guidelines on coding time transformations in SDMX[[~[2~]>>path:#_ftn2]].
47
48 = 2. SDMX Concepts for Non-Calendar Year Series =
49
50 == //Start and end day coding// ==
51
52 In SDMX messages, the time period concept (concept ID TIME_PERIOD) specifies the **reporting period**. This reporting period, as outlined above, is in many cases not aligned with the calendar year.
53
54 To specify the calendar period that a reporting period is covering, the SDMX technical standard already defines an attribute “reporting year start” on series level with format xs:gMonthDay[[~[3~]>>path:#_ftn3]]. It gives a day and month when the reporting year starts. It is optional and if not provided the default is 1^^st^^ January. Using this attribute can cover cases 1, 2 and 3 from above. When added to a series, the attribute will specify on which day of the calendar year the reporting year starts.
55
56 This is not sufficient to cover case 4, because in this case the reporting year 2015 starts in 2014. In order to specify this case, a different attribute “reporting year end” should be used. It is also on series level with format xs:gMonthDay and gives a day and month when the reporting year ends. It is optional and if not provided the default is 31^^st^^ December.
57
58 The technical note (revision 1.0) suggests that the attribute ID for reporting year start day to be REPORTING_YEAR_START_DAY. However, to maintain EDI compliance, it is suggested to use the IDs REPYEARSTART and REPYEAREND when defining DSDs.
59
60 For any given series either start or end day should be used, but not both. This also implies that a reporting year will always have a duration of one year. In case reporting years do not last exactly a year, refer to the ISO time interval specification described in the next chapter. It is also strongly recommended not to use 29^^th^^ February as either start or end date of the reporting year, since that might lead to undefined situations.
61
62 == //ISO 8601 time interval// ==
63
64 As outlined above, in some cases reporting periods might not have the same duration as calendar periods. A crop year in agriculture may only last for a couple of months. To specify these periods on a more granular level, the SDMX technical standard suggests using the time intervals as defined by ISO 8601. ISO specifies four ways to express a time interval[[~[4~]>>path:#_ftn4]]:
65
66 1. Start and end, such as "2007-03-01T13:00:00Z/2008-05-11T15:30:00Z"
67 1. Start and duration, such as "2007-03-01T13:00:00Z/P1Y2M10DT2H30M"
68 1. Duration and end, such as "P1Y2M10DT2H30M/2008-05-11T15:30:00Z"
69 1. Duration only, such as "P1Y2M10DT2H30M", with additional context information
70
71
72
73 An attribute time range (ID:TIME_RANGE) is suggested at the observation level to specify further in which particular time range a specific observation was collected. The series will still specify when the reporting period starts or ends for the whole series and each observation can have a specific time range within that reporting period. It is suggested for that case to use only option 1, the start and end date, and not the other options in SDMX context.
74
75 = 3. Example 1: Based on National Accounts data exchange =
76
77 Note that the SDMX fragments shown in the examples below are not syntactically correct. They serve the purpose of explaining the issue and show the coding in a readable way (pseudo code).
78
79 == //Current NA definition// ==
80
81 In the National Accounts Data Structure Definitions, fiscal year reporting was initially covered with the “reference period detail” attribute. This attribute is coded and only covers cases where a fiscal year starts on the first day of a given month. For other cases, a code for “other definition” was introduced.
82
83 The code list for “reference period detail” previously used in the National Accounts DSDs is as follows:
84
85 |**Code**|**Description**
86 |C|Calendar year
87 |F_O|Fiscal year (other definition)
88 |F02|Fiscal year starting in February
89 |F03|Fiscal year starting in March
90 |F04|Fiscal year starting in April
91 |F05|Fiscal year starting in May
92 |F06|Fiscal year starting in June
93 |F07|Fiscal year starting in July
94 |F08|Fiscal year starting in August
95 |F09|Fiscal year starting in September
96 |F10|Fiscal year starting in October
97 |F11|Fiscal year starting in November
98 |F12|Fiscal year starting in December
99
100
101
102 Following this code list, the cases lined out in the problem statement could be coded as such:
103
104 1. Reporting year is equal to the calendar year
105
106 <na_:Series **REF_PERIOD_DETAIL="C" **STO="B1G" REF_AREA="LU" FREQ="Q">
107 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
108 </na_:Series>
109
110
111 REF_PERIOD_DETAIL="C" à reporting year 1995 starts 1^^st^^ January 1995
112
113 1. Reporting year starts on the first day of a month different to January
114 Example: fiscal year starting on the 1^^st^^ of July
115
116 <na_:Series **REF_PERIOD_DETAIL="F07" **STO="B1G" REF_AREA="LU" FREQ="Q">
117 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
118 </na_:Series>
119
120
121 REF_PERIOD_DETAIL="F07" à reporting year 1995 starts 1^^st^^ July 1995 and Q1 projected on the calendar year goes from: 07-09/1995
122
123 1. Reporting year starts on a given day in the year
124 Example: tax year starting on the 5^^th^^ of April
125
126 <na_:Series **REF_PERIOD_DETAIL="F04" **STO="B1G" REF_AREA="LU" FREQ="Q">
127 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
128 </na_:Series>
129
130
131 REF_PERIOD_DETAIL="F04" à reporting year 1995 would start 1^^st^^ April 1995. The case is not solved because we do not know anymore that it should be on the 5^^th^^. Another option would be to use the “F_O” code:
132
133 <na_:Series **REF_PERIOD_DETAIL="F_O" **STO="B1G" REF_AREA="LU" FREQ="Q">
134 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
135 </na_:Series>
136
137
138 REF_PERIOD_DETAIL="F_O" à reporting year 1995 has another definition. The case is only partly solved because we do not know the exact date. Additional metadata are needed and the reporting period cannot directly be parsed by a system.
139
140 1. Reporting year **ends** on a given day in the year
141 Example: fiscal year ending on the 30^^th^^ of June, equivalent to fiscal year starting on the 1^^st^^ of July Y-1
142
143 <na_:Series **REF_PERIOD_DETAIL="??" **STO="B1G" REF_AREA="LU" FREQ="Q">
144 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
145 </na_:Series>
146
147
148 REF_PERIOD_DETAIL="??" à the case is not covered. The code “F_O” could be used with the same problems as lined above for case 3.
149
150 == //Recommendations based on the use cases from National Accounts// ==
151
152 Using the attributes as suggested above, all cases outlined in the National Account examples can be fully covered:
153
154 1. Reporting year is equal to the calendar year
155
156 <na_:Series **REF_PERIOD_DETAIL="C" REPYEARSTART="~-~-01-01"// //**STO="B1G" REF_AREA="LU" FREQ="Q">
157 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
158 </na_:Series>
159
160
161 1995-Q1 is the same as the calendar definition: from 1^^st^^ January 1995 until 31^^st^^ March 1995. In this case, the attribute REPYEARSTART may be omitted, since it expressed the default value of 1^^st^^ January.
162
163 Reporting year starts on the first day of a month different to January
164 Example: fiscal year starting on the 1^^st^^ of July
165
166 <na_:Series **REF_PERIOD_DETAIL="F07" REPYEARSTART="~-~-07-01" **STO="B1G" REF_AREA="LU" FREQ="Q">
167 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
168 </na_:Series>
169
170 Reporting period 1995-Q1 lasts in that case from 1^^st^^ July 1995 until 30^^th^^ September 1995.
171
172 1. Reporting year starts on a given day in the year
173 Example: tax year starting on the 5^^th^^ of April
174
175 <na_:Series **REF_PERIOD_DETAIL="F04" REPYEARSTART="~-~-04-05" **STO="B1G" REF_AREA="LU" FREQ="Q">
176 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
177 </na_:Series>
178
179 Reporting period 1995-Q1 lasts in that case from 5^^th^^ April 1995 until 4^^th^^ July 1995.
180
181 1. Reporting year **ends** on a given day in the year
182 Example: fiscal year ending on the 30^^th^^ of June, equivalent to fiscal year starting on the 1^^st^^ of July Y-1
183
184 <na_:Series **REF_PERIOD_DETAIL="??" REPYEAREND="~-~-06-30" **STO="B1G" REF_AREA="LU" FREQ="Q">
185 <na_:Obs  OBS_VALUE="44" TIME_PERIOD="**1995**-Q1"/>
186 </na_:Series>
187
188 Reporting period 1995-Q1 lasts in that case from 1^^st^^ July 1994 until 30^^th^^ September 1994
189
190 1. Example 2: Based on Agriculture data exchange
191
192 == //Problem statement// ==
193
194 The problem statement explains some issues faced in agriculture statistics when reporting on non-calendar year observations. The examples are somewhat simplified to focus on the issue at hand.
195
196 In agriculture there are usually three numbers associated with crop production: the planted area, the harvested area and the production in quantity or value. From this, yield may be derived in order to perform economic calculations and use it for other purposes.
197
198 Let us take the example of wheat. In most cases an area is planted in year n and it is harvested in year n+1. As can be seen in the examples below about wheat growing periods in several regions in the world, the reference period usually refers to the year of the harvest (year n+1). From these observations, different indicators may be derived and the relation be made that the planted area of year n is to the production of year n+1.
199
200 To be able to do this without mistakes when looking at the three datasets mentioned (harvested area, planted area, production), the start date, the end date and the year reported by the country are required for each dataset for comparability reasons. The Start date and end date of the observation will allow the data to be linked to perform calculations and analysis. The reported year is important to determine how the country reports and publishes its data and to compare and explain differences between the published data of each country and, for instance, data published by an international organisation.
201
202 Also, the growing periods for wheat may change according to the weather. Sometimes the planting and harvesting may happen during the same calendar year and sometimes not. The growing period might be a little shorter or longer. It would be good to know for each year according to the length of the growing period how the country codes the data: when the season goes beyond 31 Dec, they might use year n or year n+1.
203
204 In many countries, data are published with the year written as periods (e.g. 2009-10 for annual data about the 2009-2010 period). This notation is also commonly used in education statistics, but is not part of the standard observational time-period format defined in SDMX.
205
206 == //Proof of concept DSD// ==
207
208 Note that the DSD proposal below does not constitute a real usable DSD for agriculture statistics. It is heavily simplified to only include concepts that are relevant for the purpose of these guidelines. Also the SDMX fragments shown in the example are not syntactically correct. They just serve the purpose of explaining the issue and show the coding in a readable way (pseudo code).
209
210
211 |**Concept ID**|**Description**|**Role**|**Code List / Format**
212 |**FREQ**|Frequency|Dimension|A (annual), S (Half-yearly)
213 |**REF_AREA**|Reference area|Dimension|IN (India), CN (China)
214 |**CROP**|Crop|Dimension|W (Wheat)
215 | |Crop
216 (alternative coding)|Dimension|W (Total Wheat), WW (winter wheat), SW (summer wheat)
217 |**ACTIVITY**|Activity|Dimension|P (planting), H (harvesting)
218 |**REPYEARSTART**|Reference year start|Attribute
219 (optional, series)|xs:gMonthDay
220 |**REPYEAREND**|Reference year end|Attribute
221 (optional, series)|xs:gMonthDay
222
223 == //Usage of guidelines// ==
224
225 === India ===
226
227 Planting: wheat takes place in October to December (e.g. 2010)
228
229 Harvest: during the months of February and May (e.g. 2011).
230
231 Assumption: India attributes both activities to “crop year” 2011, which goes from Oct 2010-May 2011
232
233 **Example data:**
234
235 Oct-Dec 2010: 100 units planted
236
237 Feb-May 2011: 100 units harvested
238
239 Oct-Dec 2011: 200 units planted
240
241 Feb-May 2012: 200 units harvested
242
243 **Coding:**
244
245 <Series FREQ=A REF_AREA=IN CROP=W ACTIVITY=P **REPYEAREND=~-~-05-31**>
246 Obs TIME_PERIOD=2011-A1 VALUE=100
247 Obs TIME_PERIOD=2012-A1 VALUE=200
248
249
250 <Series FREQ=A REF_AREA=IN CROP=W ACTIVITY=H **REPYEAREND=~-~-05-31**>
251 Obs TIME_PERIOD=2011-A1 VALUE=100
252 Obs TIME_PERIOD=2012-A1 VALUE=200
253
254
255 The end of the reporting year is the end of May (attribute REPYEAREND). By definition, the year 2011 would thus go from 1^^st^^ June 2010 – 31^^st^^ May 2011. The real crop year is shorter, but since it is the same for every year and always within that time range, this information is sufficient to be available as reference metadata.
256
257 === China ===
258
259 Winter wheat is planted from mid-September through October and harvested from mid-May through June. Summer wheat is planted from mid-March through April and harvested from mid-July to mid-August.
260
261 Assumption: China attributes both activities to a “crop year”, which goes from September of the previous until May of the current year.
262
263 **Sample Data for China**
264
265 |**Crop year**|**Season**|**Calendar period**|**Units**
266 |**2011**|Winter|Sep-Oct 2010|100 planted
267 | | |May-Jun 2011|100 harvested
268 | |Summer|Mar-Apr 2011|200 planted
269 | | |Jul-Aug 2011|200 harvested
270 |**2012**|Winter|Sep-Oct 2011|120 planted
271 | | |May-Jun 2011|120 harvested
272 | |Summer|Mar-Apr 2012|220 planted
273 | | |Jul-Aug 2012|220 harvested
274
275 == //Recommendations based on the Use Cases from Agriculture// ==
276
277 For coding the SDMX message, the frequency of the data is half-yearly, since we have two seasons per year. The reporting year end (31^^st^^ August) corresponds to the whole reporting year, ranging from 1^^st^^ September Y-1 until 31^^st^^ August Y. The exact duration of the season would, in this example, only be available in metadata.
278
279 <Series FREQ=S REF_AREA=CN CROP=W ACTIVITY=P REPYEAREND=~-~-08-31>
280 Obs TIME_PERIOD=2011-S1 VALUE=100
281 Obs TIME_PERIOD=2011-S2 VALUE=200
282 Obs TIME_PERIOD=2012-S1 VALUE=120
283 Obs TIME_PERIOD=2012-S2 VALUE=220
284
285
286 <Series FREQ=S REF_AREA=CN CROP=W ACTIVITY=H REPYEAREND=~-~-08-31>
287 Obs TIME_PERIOD=2011-S1 VALUE=100
288 Obs TIME_PERIOD=2011-S2 VALUE=200
289 Obs TIME_PERIOD=2012-S1 VALUE=120
290 Obs TIME_PERIOD=2012-S2 VALUE=220
291
292
293 To calculate the total annual planting of crop, the half-yearly series are added up to annual series (2011=2011-S1+2011-S2 à P: 100+200=300; H: 100+200=300).
294
295 <Series FREQ=A REF_AREA=CN CROP=W ACTIVITY=P REPYEAREND=~-~-08-31>
296 Obs TIME_PERIOD=2011-A1 VALUE=300
297 Obs TIME_PERIOD=2012-A1 VALUE=340
298 <Series FREQ=A REF_AREA=CN CROP=W ACTIVITY=H REPYEAREND=~-~-08-31>
299 Obs TIME_PERIOD=2011-A1 VALUE=300
300 Obs TIME_PERIOD=2012-A1 VALUE=340
301
302
303 If the alternative coding of Winter Wheat (WW) and Summer Wheat (SW) is used, the frequency becomes annual and values can also be added up separately:
304
305 <Series FREQ=A REF_AREA=CN CROP=WW ACTIVITY=P REPYEAREND=~-~-08-31>
306 Obs TIME_PERIOD=2011-A1 VALUE=100
307 Obs TIME_PERIOD=2012-A1 VALUE=120
308
309
310 <Series FREQ=A REF_AREA=CN CROP=WW ACTIVITY=H REPYEAREND=~-~-08-31>
311 Obs TIME_PERIOD=2011-A1 VALUE=100
312 Obs TIME_PERIOD=2012-A1 VALUE=120
313
314
315 <Series FREQ=A REF_AREA=CN CROP=SW ACTIVITY=P REPYEAREND=~-~-08-31>
316 Obs TIME_PERIOD=2011-A1 VALUE=200
317 Obs TIME_PERIOD=2012-A1 VALUE=220
318
319
320 <Series FREQ=A REF_AREA=CN CROP=SW ACTIVITY=H REPYEAREND=~-~-08-31>
321 Obs TIME_PERIOD=2011-A1 VALUE=200
322 Obs TIME_PERIOD=2012-A1 VALUE=220
323
324
325 For the total annual planting of crop, the winter and summer wheat can be added (W=WW+SW) and lead to the same result as above:
326
327 <Series FREQ=A REF_AREA=CN CROP=W ACTIVITY=P REPYEAREND=~-~-08-31>
328 Obs TIME_PERIOD=2011-A1 VALUE=300
329 Obs TIME_PERIOD=2012-A1 VALUE=340
330 <Series FREQ=A REF_AREA=CN CROP=W ACTIVITY=H REPYEAREND=~-~-08-31>
331 Obs TIME_PERIOD=2011-A1 VALUE=300
332 Obs TIME_PERIOD=2012-A1 VALUE=340
333
334 === Date range coding example ===
335
336 As it can be seen in the examples above, the exact period when the actual planting / harvesting took place can usually be expressed as reference metadata. However, when adding up figures from different reporting year definitions (e.g. adding India and China for 2011), one needs to pay attention to the different definitions. There is no implicit SDMX solution, because SDMX only expresses the data but does not contain the methodology of how data are added for different reporting periods. If more detailed information is needed; for instance, an algorithm to attribute crop production to exact comparable periods, the exact time ranges need to be known as input to the estimation formulas.
337
338 To take the examples of India from above, slightly modified:
339
340 1st Oct- 27th Dec 2010: 100 units planted
341
342 5th Feb- 17th May 2011: 100 units harvested
343
344 15th Oct- 2nd Jan 2012: 200 units planted
345
346 7th Feb-5th May 2012: 200 units harvested
347
348 It can be coded as follows, to give the data user the maximum information for further processing:
349
350 <Series FREQ=A REF_AREA=IN CROP=W ACTIVITY=P REPYEAREND=~-~-05-31>
351 Obs TIME_PERIOD=2011-A1 VALUE=100 TIME_RANGE=2010-10-01/2010-12-27
352 Obs TIME_PERIOD=2012-A1 VALUE=200 TIME_RANGE=2011-10-15/2012-01-02
353
354
355 <Series FREQ=A REF_AREA=IN CROP=W ACTIVITY=H REPYEAREND=~-~-05-31>
356 Obs TIME_PERIOD=2011-A1 VALUE=100 TIME_RANGE=2011-02-05/2011-05-17
357 Obs TIME_PERIOD=2012-A1 VALUE=200 TIME_RANGE=2012-02-07/2012-05-05
358
359
360 Care needs to be taken that the time range for each observation is within the period covered by the reporting period projected on the calendar. For instance, a harvesting range lasting from the beginning of March until the end of June would be invalid, because the reporting period ends at the end of May. In case harvesting would last until June, the reporting year end would need to be changed accordingly.
361
362 ----
363
364 [[~[1~]>>path:#_ftnref1]] The //YYYY// format is reserved for Gregorian years, i.e. from January 1 to December 31. For reporting years that are not Gregorian years, the format YYYY-A1 (e.g. 2016-A1) must be used for the time dimension
365
366 [[~[2~]>>path:#_ftnref2]] [[https:~~/~~/sdmx.org/wp-content/uploads/SWG_TimeTransformation_V1.0.docx>>url:https://sdmx.org/wp-content/uploads/SWG_TimeTransformation_V1.0.docx]]
367
368 [[~[3~]>>path:#_ftnref3]] [[https:~~/~~/sdmx.org/wp-content/uploads/SDMX_2-1-1-SECTION_6_TechnicalNotes-march-2013.pdf>>url:https://sdmx.org/wp-content/uploads/SDMX_2-1-1-SECTION_6_TechnicalNotes-march-2013.pdf]], row 658
369
370 [[~[4~]>>path:#_ftnref4]] [[http:~~/~~/www.iso.org/iso/home/standards/iso8601.htm>>url:http://www.iso.org/iso/home/standards/iso8601.htm]] and
371 [[https:~~/~~/sdmx.org/wp-content/uploads/SDMX_2-1-1-SECTION_6_TechnicalNotes-march-2013.pdf>>url:https://sdmx.org/wp-content/uploads/SDMX_2-1-1-SECTION_6_TechnicalNotes-march-2013.pdf]], row 749.
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