Vietnam PPI: Services: Professional, Scientific and Technical Activities data was reported at 100.300 Prev Year=100 in 2017. This records a decrease from the previous number of 100.500 Prev Year=100 for 2016. Vietnam PPI: Services: Professional, Scientific and Technical Activities data is updated yearly, averaging 101.305 Prev Year=100 from Dec 2012 (Median) to 2017, with 6 observations. The data reached an all-time high of 105.970 Prev Year=100 in 2012 and a record low of 100.300 Prev Year=100 in 2017. Vietnam PPI: Services: Professional, Scientific and Technical Activities data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I055: Producer Price Index: Services: PY=100.

United States - Value Added by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Quantity Index) was 150.73800 Index 2009=100 in July of 2024, according to the United States Federal Reserve. Historically, United States - Value Added by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Quantity Index) reached a record high of 150.73800 in July of 2024 and a record low of 68.19000 in April of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Value Added by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Quantity Index) - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in Massachusetts (MAPROSCITCHQGSP) from 1997 to 2023 about science, quantity index, professional, MA, GSP, private industries, business, services, private, industry, GDP, and USA.

Norway Earnings Index: Monthly Avg: Real Estate, Professional, Scientific and Technical Activities: Advertising and Market Research data was reported at 104.000 1Q2016=100 in Sep 2018. This records a decrease from the previous number of 106.300 1Q2016=100 for Jun 2018. Norway Earnings Index: Monthly Avg: Real Estate, Professional, Scientific and Technical Activities: Advertising and Market Research data is updated quarterly, averaging 103.000 1Q2016=100 from Mar 2016 (Median) to Sep 2018, with 11 observations. The data reached an all-time high of 106.300 1Q2016=100 in Jun 2018 and a record low of 99.300 1Q2016=100 in Dec 2016. Norway Earnings Index: Monthly Avg: Real Estate, Professional, Scientific and Technical Activities: Advertising and Market Research data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.G024: Earnings Index: Monthly Average: Q1 2016=100.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in Ohio (OHPROSCITCHQGSP) from 1997 to 2023 about science, quantity index, professional, OH, GSP, private industries, business, services, private, industry, GDP, and USA.

The USDA Agricultural Research Service (ARS) recently established SCINet , which consists of a shared high performance computing resource, Ceres, and the dedicated high-speed Internet2 network used to access Ceres. Current and potential SCINet users are using and generating very large datasets so SCINet needs to be provisioned with adequate data storage for their active computing. It is not designed to hold data beyond active research phases. At the same time, the National Agricultural Library has been developing the Ag Data Commons, a research data catalog and repository designed for public data release and professional data curation. Ag Data Commons needs to anticipate the size and nature of data it will be tasked with handling. The ARS Web-enabled Databases Working Group, organized under the SCINet initiative, conducted a study to establish baseline data storage needs and practices, and to make projections that could inform future infrastructure design, purchases, and policies. The SCINet Web-enabled Databases Working Group helped develop the survey which is the basis for an internal report. While the report was for internal use, the survey and resulting data may be generally useful and are being released publicly. From October 24 to November 8, 2016 we administered a 17-question survey (Appendix A) by emailing a Survey Monkey link to all ARS Research Leaders, intending to cover data storage needs of all 1,675 SY (Category 1 and Category 4) scientists. We designed the survey to accommodate either individual researcher responses or group responses. Research Leaders could decide, based on their unit's practices or their management preferences, whether to delegate response to a data management expert in their unit, to all members of their unit, or to themselves collate responses from their unit before reporting in the survey.
Larger storage ranges cover vastly different amounts of data so the implications here could be significant depending on whether the true amount is at the lower or higher end of the range. Therefore, we requested more detail from "Big Data users," those 47 respondents who indicated they had more than 10 to 100 TB or over 100 TB total current data (Q5). All other respondents are called "Small Data users." Because not all of these follow-up requests were successful, we used actual follow-up responses to estimate likely responses for those who did not respond. We defined active data as data that would be used within the next six months. All other data would be considered inactive, or archival. To calculate per person storage needs we used the high end of the reported range divided by 1 for an individual response, or by G, the number of individuals in a group response. For Big Data users we used the actual reported values or estimated likely values.

Resources in this dataset:Resource Title: Appendix A: ARS data storage survey questions. File Name: Appendix A.pdfResource Description: The full list of questions asked with the possible responses. The survey was not administered using this PDF but the PDF was generated directly from the administered survey using the Print option under Design Survey. Asterisked questions were required. A list of Research Units and their associated codes was provided in a drop down not shown here. Resource Software Recommended: Adobe Acrobat,url: https://get.adobe.com/reader/ Resource Title: CSV of Responses from ARS Researcher Data Storage Survey. File Name: Machine-readable survey response data.csvResource Description: CSV file includes raw responses from the administered survey, as downloaded unfiltered from Survey Monkey, including incomplete responses. Also includes additional classification and calculations to support analysis. Individual email addresses and IP addresses have been removed. This information is that same data as in the Excel spreadsheet (also provided).Resource Title: Responses from ARS Researcher Data Storage Survey. File Name: Data Storage Survey Data for public release.xlsxResource Description: MS Excel worksheet that Includes raw responses from the administered survey, as downloaded unfiltered from Survey Monkey, including incomplete responses. Also includes additional classification and calculations to support analysis. Individual email addresses and IP addresses have been removed.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel

Chile Nominal Labor Cost Index: Professional, Scientific & Technical data was reported at 154.940 2016=100 in Mar 2024. This records an increase from the previous number of 153.340 2016=100 for Feb 2024. Chile Nominal Labor Cost Index: Professional, Scientific & Technical data is updated monthly, averaging 113.300 2016=100 from Jan 2016 (Median) to Mar 2024, with 99 observations. The data reached an all-time high of 154.940 2016=100 in Mar 2024 and a record low of 97.940 2016=100 in Feb 2016. Chile Nominal Labor Cost Index: Professional, Scientific & Technical data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.G051: Nominal Labor Cost Index: 2016=100.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in Maine (MEPROSCITCHQGSP) from 1997 to 2023 about science, quantity index, ME, professional, GSP, private industries, business, services, private, industry, GDP, and USA.

United States - Gross Output by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Price Index) was 112.42200 Index 2009=100 in July of 2024, according to the United States Federal Reserve. Historically, United States - Gross Output by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Price Index) reached a record high of 112.42200 in July of 2024 and a record low of 82.47600 in January of 2005. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Output by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Price Index) - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in Mississippi (MSPROSCITCHQGSP) from 1997 to 2023 about science, quantity index, professional, MS, GSP, private industries, business, services, private, industry, GDP, and USA.

United States - Intermediate Inputs by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Quantity Index) was 127.85700 Index 2009=100 in July of 2024, according to the United States Federal Reserve. Historically, United States - Intermediate Inputs by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Quantity Index) reached a record high of 127.85700 in July of 2024 and a record low of 77.75400 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Intermediate Inputs by Industry: Professional and Business Services: Professional, Scientific, and Technical Services (Chain-Type Quantity Index) - last updated from the United States Federal Reserve on March of 2025.

Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (NAICS 54) in Wyoming was 157.54400 Index 2009=100 in January of 2023, according to the United States Federal Reserve. Historically, Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (NAICS 54) in Wyoming reached a record high of 157.54400 in January of 2023 and a record low of 63.24700 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (NAICS 54) in Wyoming - last updated from the United States Federal Reserve on March of 2025.

Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (NAICS 54) in Virginia was 143.04200 Index 2009=100 in January of 2023, according to the United States Federal Reserve. Historically, Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (NAICS 54) in Virginia reached a record high of 143.04200 in January of 2023 and a record low of 31.11800 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (NAICS 54) in Virginia - last updated from the United States Federal Reserve on March of 2025.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in Oklahoma (OKPROSCITCHQGSP) from 1997 to 2023 about science, quantity index, professional, OK, GSP, private industries, business, services, private, industry, GDP, and USA.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in the Southwest BEA Region (SWSTPROSCITCHQGSP) from 1997 to 2023 about Southwest BEA Region, science, quantity index, professional, GSP, private industries, business, services, private, industry, GDP, and USA.

United States Import Price Index: MM: Professional, Scientific & Controlling data was reported at 100.500 2000=100 in Jun 2006. This stayed constant from the previous number of 100.500 2000=100 for May 2006. United States Import Price Index: MM: Professional, Scientific & Controlling data is updated monthly, averaging 101.000 2000=100 from Dec 1993 (Median) to Jun 2006, with 151 observations. The data reached an all-time high of 108.800 2000=100 in Aug 1995 and a record low of 97.700 2000=100 in May 2002. United States Import Price Index: MM: Professional, Scientific & Controlling data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I033: Import and Export Price Index: 2000=100: By SITC.

Graph and download economic data for Chain-Type Quantity Index for Real GDP: Professional, Scientific, and Technical Services (54) in Tennessee (TNPROSCITCHQGSP) from 1997 to 2023 about science, quantity index, professional, TN, GSP, private industries, business, services, private, industry, GDP, and USA.

Australia PPI: Materials Used: Manufacturing: Machinery & Equipment: Professional & Scientific Equipment data was reported at 121.500 1989-1990=100 in Jun 2012. This records an increase from the previous number of 118.500 1989-1990=100 for Mar 2012. Australia PPI: Materials Used: Manufacturing: Machinery & Equipment: Professional & Scientific Equipment data is updated quarterly, averaging 123.600 1989-1990=100 from Jun 1996 (Median) to Jun 2012, with 65 observations. The data reached an all-time high of 140.200 1989-1990=100 in Mar 2009 and a record low of 100.300 1989-1990=100 in Dec 1999. Australia PPI: Materials Used: Manufacturing: Machinery & Equipment: Professional & Scientific Equipment data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I028: Producer Price Index: 1989-90=100: ANZSIC 2006: Input to the Manufacturing Industry.

Brazil IPI: Mfg: Machine for Office & Computer Science Equipment data was reported at 249.820 2002=100 in Feb 2014. This records an increase from the previous number of 233.660 2002=100 for Jan 2014. Brazil IPI: Mfg: Machine for Office & Computer Science Equipment data is updated monthly, averaging 235.265 2002=100 from Jan 2002 (Median) to Feb 2014, with 146 observations. The data reached an all-time high of 347.090 2002=100 in Oct 2007 and a record low of 71.180 2002=100 in Oct 2002. Brazil IPI: Mfg: Machine for Office & Computer Science Equipment data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.BAA055: Industrial Production Index: 2002=100.

United Kingdom PPI: Service: Professional, Scientific & Technical (PT) data was reported at 114.800 2010=100 in Sep 2018. This records an increase from the previous number of 114.000 2010=100 for Jun 2018. United Kingdom PPI: Service: Professional, Scientific & Technical (PT) data is updated quarterly, averaging 107.350 2010=100 from Dec 2008 (Median) to Sep 2018, with 40 observations. The data reached an all-time high of 114.800 2010=100 in Sep 2018 and a record low of 96.800 2010=100 in Sep 2009. United Kingdom PPI: Service: Professional, Scientific & Technical (PT) data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.I020: Producer Price Index: 2010=100: Service.