The advent of large-scale cabled ocean observatories brought about the need to handle large amounts of ocean-based data, continuously recorded at a high sampling rate over many years and made accessible in near-real time to the ocean science community and the public. Ocean Networks Canada (ONC) commenced installing and operating two regional cabled observatories on Canada’s Pacific Coast, VENUS inshore and NEPTUNE offshore in the 2000s, and later expanded to include observatories in the Atlantic and Arctic in the 2010s. The first data streams from the cabled instrument nodes started flowing in February 2006. This paper describes Oceans 2.0 and Oceans 3.0, the comprehensive Data Management and Archival System that ONC developed to capture all data and associated metadata into an ever-expanding dynamic database. Oceans 2.0 was the name for this software system from 2006–2021; in 2022, ONC revised this name to Oceans 3.0, reflecting the system’s many new and planned capabilities aligning with Web 3.0 concepts. Oceans 3.0 comprises both tools to manage the data acquisition and archival of all instrumental assets managed by ONC as well as end-user tools to discover, process, visualize and download the data. Oceans 3.0 rests upon ten foundational pillars: (1) A robust and stable system architecture to serve as the backbone within a context of constant technological progress and evolving needs of the operators and end users; (2) a data acquisition and archival framework for infrastructure management and data recording, including instrument drivers and parsers to capture all data and observatory actions, alongside task management options and support for data versioning; (3) a metadata system tracking all the details necessary to archive Findable, Accessible, Interoperable and Reproducible (FAIR) data from all scientific and non-scientific sensors; (4) a data Quality Assurance and Quality Control lifecycle with a consistent workflow and automated testing to detect instrument, data and network issues; (5) a data product pipeline ensuring the data are served in a wide variety of standard formats; (6) data discovery and access tools, both generalized and use-specific, allowing users to find and access data of interest; (7) an Application Programming Interface that enables scripted data discovery and access; (8) capabilities for customized and interactive data handling such as annotating videos or ingesting individual campaign-based data sets; (9) a system for generating persistent data identifiers and data citations, which supports interoperability with external data repositories; (10) capabilities to automatically detect and react to emergent events such as earthquakes. With a growing database and advancing technological capabilities, Oceans 3.0 is evolving toward a future in which the old paradigm of downloading packaged data files transitions to the new paradigm of cloud-based environments for data discovery, processing, analysis, and exchange.

This table contains 3 series, with data for years 2001 - 2007 (not all combinations necessarily have data for all years), and was last released on 2011-03-31. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), North American Industry Classification System (NAICS) (3 items: Total price; data processing; hosting and related services; Realized net multiplier; data processing; hosting and related services; Labour cost; data processing; hosting and related services ...).

The data management plan is developed to provide guidance on data management practices and standards for research institutions and teams working on Africa RISING program. The document is organized as follows: Section 2 discusses open data access, Africa RISING Program data sources and types, metadata management, and data standardization. Section 3 discusses Program data management and access tools. Section 4 discusses internal and external diffusion of Program data. Section 5 discusses data storage and transmission.

United States Imports: 3-Digit: Parts for Office, Data Processing Machine data was reported at 396.918 USD mn in May 2018. This records an increase from the previous number of 283.023 USD mn for Apr 2018. United States Imports: 3-Digit: Parts for Office, Data Processing Machine data is updated monthly, averaging 145.916 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 396.918 USD mn in May 2018 and a record low of 62.707 USD mn in Feb 2009. United States Imports: 3-Digit: Parts for Office, Data Processing Machine data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.RF008: Imports: By SITC: Customs.

On October 15, 2013, Louisville Mayor Greg Fischer announced the signing of an open data policy executive order in conjunction with his compelling talk at the 2013 Code for America Summit. In nonchalant cadence, the mayor announced his support for complete information disclosure by declaring, "It's data, man."Sunlight Foundation - New Louisville Open Data Policy Insists Open By Default is the Future Open Data Annual ReportsSection 5.A. Within one year of the effective Data of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.The Open Data Management team (also known as the Data Governance Team is currently led by the city's Data Officer Andrew McKinney in the Office of Civic Innovation and Technology. Previously (2014-16) it was led by the Director of IT.Full Executive OrderEXECUTIVE ORDER NO. 1, SERIES 2013AN EXECUTIVE ORDERCREATING AN OPEN DATA PLAN. WHEREAS, Metro Government is the catalyst for creating a world-class city that provides its citizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovation, and a high quality of life; andWHEREAS, it should be easy to do business with Metro Government. Online government interactions mean more convenient services for citizens and businesses and online government interactions improve the cost effectiveness and accuracy of government operations; andWHEREAS, an open government also makes certain that every aspect of the built environment also has reliable digital descriptions available to citizens and entrepreneurs for deep engagement mediated by smart devices; andWHEREAS, every citizen has the right to prompt, efficient service from Metro Government; andWHEREAS, the adoption of open standards improves transparency, access to public information and improved coordination and efficiencies among Departments and partner organizations across the public, nonprofit and private sectors; andWHEREAS, by publishing structured standardized data in machine readable formats the Louisville Metro Government seeks to encourage the local software community to develop software applications and tools to collect, organize, and share public record data in new and innovative ways; andWHEREAS, in commitment to the spirit of Open Government, Louisville Metro Government will consider public information to be open by default and will proactively publish data and data containing information, consistent with the Kentucky Open Meetings and Open Records Act; andNOW, THEREFORE, BE IT PROMULGATED BY EXECUTIVE ORDER OF THE HONORABLE GREG FISCHER, MAYOR OF LOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:Section 1. Definitions. As used in this Executive Order, the terms below shall have the following definitions:(A) “Open Data” means any public record as defined by the Kentucky Open Records Act, which could be made available online using Open Format data, as well as best practice Open Data structures and formats when possible. Open Data is not information that is treated exempt under KRS 61.878 by Metro Government.(B) “Open Data Report” is the annual report of the Open Data Management Team, which shall (i) summarize and comment on the state of Open Data availability in Metro Government Departments from the previous year; (ii) provide a plan for the next year to improve online public access to Open Data and maintain data quality. The Open Data Management Team shall present an initial Open Data Report to the Mayor within 180 days of this Executive Order.(C) “Open Format” is any widely accepted, nonproprietary, platform-independent, machine-readable method for formatting data, which permits automated processing of such data and is accessible to external search capabilities.(D) “Open Data Portal” means the Internet site established and maintained by or on behalf of Metro Government, located at portal.louisvilleky.gov/service/data or its successor website.(E) “Open Data Management Team” means a group consisting of representatives from each Department within Metro Government and chaired by the Chief Information Officer (CIO) that is responsible for coordinating implementation of an Open Data Policy and creating the Open Data Report.(F) “Department” means any Metro Government department, office, administrative unit, commission, board, advisory committee, or other division of Metro Government within the official jurisdiction of the executive branch.Section 2. Open Data Portal.(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by Metro Government(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an Open Format.Section 3. Open Data Management Team.(A) The Chief Information Officer (CIO) of Louisville Metro Government will work with the head of each Department to identify a Data Coordinator in each Department. Data Coordinators will serve as members of an Open Data Management Team facilitated by the CIO and Metro Technology Services. The Open Data Management Team will work to establish a robust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data management policy that will adopt prevailing Open Format standards for Open Data, and develop agreements with regional partners to publish and maintain Open Data that is open and freely available while respecting exemptions allowed by the Kentucky Open Records Act or other federal or state law.Section 4. Department Open Data Catalogue.(A) Each Department shall be responsible for creating an Open Data catalogue, which will include comprehensive inventories of information possessed and/or managed by the Department.(B) Each Department’s Open Data catalogue will classify information holdings as currently “public” or “not yet public”; Departments will work with Metro Technology Services to develop strategies and timelines for publishing open data containing information in a way that is complete, reliable, and has a high level of detail.Section 5. Open Data Report and Policy Review.(A) Within one year of the effective date of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.(B) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy should be reviewed and considered for revisions or additions that will continue to position Metro Government as a leader on issues of openness, efficiency, and technical best practices.Section 6. This Executive Order shall take effect as of October 11, 2013.Signed this 11th day of October, 2013, by Greg Fischer, Mayor of Louisville/Jefferson County Metro Government.GREG FISCHER, MAYOR

United States Imports: CIF: 3-Digit: IN: Automatic Data Processing Machines & Unit data was reported at 1.496 USD mn in Sep 2018. This records an increase from the previous number of 1.150 USD mn for Aug 2018. United States Imports: CIF: 3-Digit: IN: Automatic Data Processing Machines & Unit data is updated monthly, averaging 1.525 USD mn from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 23.335 USD mn in Jun 1997 and a record low of 0.235 USD mn in Feb 2001. United States Imports: CIF: 3-Digit: IN: Automatic Data Processing Machines & Unit data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.RF009: Imports: By SITC: CIF.

On October 15, 2013, Louisville Mayor Greg Fischer announced the signing of an open data policy executive order in conjunction with his compelling talk at the 2013 Code for America Summit. In nonchalant cadence, the mayor announced his support for complete information disclosure by declaring, "It's data, man."Sunlight Foundation - New Louisville Open Data Policy Insists Open By Default is the Future Open Data Annual ReportsSection 5.A. Within one year of the effective Data of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.The Open Data Management team (also known as the Data Governance Team is currently led by the city's Data Officer Andrew McKinney in the Office of Civic Innovation and Technology. Previously (2014-16) it was led by the Director of IT.Full Executive OrderEXECUTIVE ORDER NO. 1, SERIES 2013AN EXECUTIVE ORDERCREATING AN OPEN DATA PLAN. WHEREAS, Metro Government is the catalyst for creating a world-class city that provides its citizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovation, and a high quality of life; andWHEREAS, it should be easy to do business with Metro Government. Online government interactions mean more convenient services for citizens and businesses and online government interactions improve the cost effectiveness and accuracy of government operations; andWHEREAS, an open government also makes certain that every aspect of the built environment also has reliable digital descriptions available to citizens and entrepreneurs for deep engagement mediated by smart devices; andWHEREAS, every citizen has the right to prompt, efficient service from Metro Government; andWHEREAS, the adoption of open standards improves transparency, access to public information and improved coordination and efficiencies among Departments and partner organizations across the public, nonprofit and private sectors; andWHEREAS, by publishing structured standardized data in machine readable formats the Louisville Metro Government seeks to encourage the local software community to develop software applications and tools to collect, organize, and share public record data in new and innovative ways; andWHEREAS, in commitment to the spirit of Open Government, Louisville Metro Government will consider public information to be open by default and will proactively publish data and data containing information, consistent with the Kentucky Open Meetings and Open Records Act; andNOW, THEREFORE, BE IT PROMULGATED BY EXECUTIVE ORDER OF THE HONORABLE GREG FISCHER, MAYOR OF LOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:Section 1. Definitions. As used in this Executive Order, the terms below shall have the following definitions:(A) “Open Data” means any public record as defined by the Kentucky Open Records Act, which could be made available online using Open Format data, as well as best practice Open Data structures and formats when possible. Open Data is not information that is treated exempt under KRS 61.878 by Metro Government.(B) “Open Data Report” is the annual report of the Open Data Management Team, which shall (i) summarize and comment on the state of Open Data availability in Metro Government Departments from the previous year; (ii) provide a plan for the next year to improve online public access to Open Data and maintain data quality. The Open Data Management Team shall present an initial Open Data Report to the Mayor within 180 days of this Executive Order.(C) “Open Format” is any widely accepted, nonproprietary, platform-independent, machine-readable method for formatting data, which permits automated processing of such data and is accessible to external search capabilities.(D) “Open Data Portal” means the Internet site established and maintained by or on behalf of Metro Government, located at portal.louisvilleky.gov/service/data or its successor website.(E) “Open Data Management Team” means a group consisting of representatives from each Department within Metro Government and chaired by the Chief Information Officer (CIO) that is responsible for coordinating implementation of an Open Data Policy and creating the Open Data Report.(F) “Department” means any Metro Government department, office, administrative unit, commission, board, advisory committee, or other division of Metro Government within the official jurisdiction of the executive branch.Section 2. Open Data Portal.(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by Metro Government(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an Open Format.Section 3. Open Data Management Team.(A) The Chief Information Officer (CIO) of Louisville Metro Government will work with the head of each Department to identify a Data Coordinator in each Department. Data Coordinators will serve as members of an Open Data Management Team facilitated by the CIO and Metro Technology Services. The Open Data Management Team will work to establish a robust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data management policy that will adopt prevailing Open Format standards for Open Data, and develop agreements with regional partners to publish and maintain Open Data that is open and freely available while respecting exemptions allowed by the Kentucky Open Records Act or other federal or state law.Section 4. Department Open Data Catalogue.(A) Each Department shall be responsible for creating an Open Data catalogue, which will include comprehensive inventories of information possessed and/or managed by the Department.(B) Each Department’s Open Data catalogue will classify information holdings as currently “public” or “not yet public”; Departments will work with Metro Technology Services to develop strategies and timelines for publishing open data containing information in a way that is complete, reliable, and has a high level of detail.Section 5. Open Data Report and Policy Review.(A) Within one year of the effective date of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.(B) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy should be reviewed and considered for revisions or additions that will continue to position Metro Government as a leader on issues of openness, efficiency, and technical best practices.Section 6. This Executive Order shall take effect as of October 11, 2013.Signed this 11th day of October, 2013, by Greg Fischer, Mayor of Louisville/Jefferson County Metro Government.GREG FISCHER, MAYOR

Executive Summary Background In June 2016, the Tri-Council Agencies released a statement regarding Digital Data Management for grant applications . In preparation to support researchers facing new requirements, UBC librarians on both the Vancouver and Okanagan campuses initially surveyed faculty in the Sciences in Fall 2015, to determine both the actual practices of Research Data Management (RDM) employed by these researchers, and areas where the researchers would like help. Acknowledging disciplinary differences, a second survey was administered to all faculty and graduate students in Humanities and Social Sciences in October 2016. The results of these surveys will assist the University in making evidence-based decisions about what expertise will be needed to support and assist faculty in improving their data management practises to meet new requirements from funding bodies. Findings Researchers are collecting and working with a wide variety of data ranging from numerical and text data to multimedia files, software, instrument specific data, geospatial data, and many other types of data. Researchers identified four broad areas where they would like additional help and support: 1. Data Storage (including preservation and sharing) 2. Data Management Plans 3. Data Repository access 4. Data Education (workshops, and personalized training) These areas present opportunities for the Library and campus partners to bolster research excellence by supporting strong RDM practices of Faculty, Students and Staff. Recommendations 1. The Library continues to collaborate with VPR’s Advanced Research Computing (ARC) unit, UBC Ethics, UBC IT Services, and other campus partners to plan and coordinate services for researchers around the management of research data. 2. UBC ensures that a robust infrastructure is available to researchers to store, preserve, and share their research data. 3. UBC implements a campus-wide service to support a Data Management Repository (or suite of repositories) which would include the Abacus Dataverse (currently operated by the Library). Conclusions A more detailed statistical analysis is underway, but initial results show that the majority of survey respondents indicated that they need assistance with storage and security of research data, with crafting data management plans, with a centralized research data repository, and with workshops about research data best practices for faculty and especially for graduate students. Further, understandings of the particular needs or habits within specific research disciplines will provide insights into how these researchers think about, and work with data and can also identify areas for future research and investigation. Finally, this survey has provided a fuller understanding of the RDM needs and perceived barriers and benefits which can now enable more targeted and nuanced conversations between librarians, researchers, and IT research support personnel. These results will assist the Library and other campus partners with the development of specific programs and infrastructure to bolster a strategic direction for RDM support.

On October 15, 2013, Louisville Mayor Greg Fischer announced the signing of an open data policy executive order in conjunction with his compelling talk at the 2013 Code for America Summit. In nonchalant cadence, the mayor announced his support for complete information disclosure by declaring, "It's data, man."Sunlight Foundation - New Louisville Open Data Policy Insists Open By Default is the Future Open Data Annual ReportsSection 5.A. Within one year of the effective Data of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.The Open Data Management team (also known as the Data Governance Team is currently led by the city's Data Officer Andrew McKinney in the Office of Civic Innovation and Technology. Previously (2014-16) it was led by the Director of IT.Full Executive OrderEXECUTIVE ORDER NO. 1, SERIES 2013AN EXECUTIVE ORDERCREATING AN OPEN DATA PLAN. WHEREAS, Metro Government is the catalyst for creating a world-class city that provides its citizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovation, and a high quality of life; andWHEREAS, it should be easy to do business with Metro Government. Online government interactions mean more convenient services for citizens and businesses and online government interactions improve the cost effectiveness and accuracy of government operations; andWHEREAS, an open government also makes certain that every aspect of the built environment also has reliable digital descriptions available to citizens and entrepreneurs for deep engagement mediated by smart devices; andWHEREAS, every citizen has the right to prompt, efficient service from Metro Government; andWHEREAS, the adoption of open standards improves transparency, access to public information and improved coordination and efficiencies among Departments and partner organizations across the public, nonprofit and private sectors; andWHEREAS, by publishing structured standardized data in machine readable formats the Louisville Metro Government seeks to encourage the local software community to develop software applications and tools to collect, organize, and share public record data in new and innovative ways; andWHEREAS, in commitment to the spirit of Open Government, Louisville Metro Government will consider public information to be open by default and will proactively publish data and data containing information, consistent with the Kentucky Open Meetings and Open Records Act; andNOW, THEREFORE, BE IT PROMULGATED BY EXECUTIVE ORDER OF THE HONORABLE GREG FISCHER, MAYOR OF LOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:Section 1. Definitions. As used in this Executive Order, the terms below shall have the following definitions:(A) “Open Data” means any public record as defined by the Kentucky Open Records Act, which could be made available online using Open Format data, as well as best practice Open Data structures and formats when possible. Open Data is not information that is treated exempt under KRS 61.878 by Metro Government.(B) “Open Data Report” is the annual report of the Open Data Management Team, which shall (i) summarize and comment on the state of Open Data availability in Metro Government Departments from the previous year; (ii) provide a plan for the next year to improve online public access to Open Data and maintain data quality. The Open Data Management Team shall present an initial Open Data Report to the Mayor within 180 days of this Executive Order.(C) “Open Format” is any widely accepted, nonproprietary, platform-independent, machine-readable method for formatting data, which permits automated processing of such data and is accessible to external search capabilities.(D) “Open Data Portal” means the Internet site established and maintained by or on behalf of Metro Government, located at portal.louisvilleky.gov/service/data or its successor website.(E) “Open Data Management Team” means a group consisting of representatives from each Department within Metro Government and chaired by the Chief Information Officer (CIO) that is responsible for coordinating implementation of an Open Data Policy and creating the Open Data Report.(F) “Department” means any Metro Government department, office, administrative unit, commission, board, advisory committee, or other division of Metro Government within the official jurisdiction of the executive branch.Section 2. Open Data Portal.(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by Metro Government(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an Open Format.Section 3. Open Data Management Team.(A) The Chief Information Officer (CIO) of Louisville Metro Government will work with the head of each Department to identify a Data Coordinator in each Department. Data Coordinators will serve as members of an Open Data Management Team facilitated by the CIO and Metro Technology Services. The Open Data Management Team will work to establish a robust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data management policy that will adopt prevailing Open Format standards for Open Data, and develop agreements with regional partners to publish and maintain Open Data that is open and freely available while respecting exemptions allowed by the Kentucky Open Records Act or other federal or state law.Section 4. Department Open Data Catalogue.(A) Each Department shall be responsible for creating an Open Data catalogue, which will include comprehensive inventories of information possessed and/or managed by the Department.(B) Each Department’s Open Data catalogue will classify information holdings as currently “public” or “not yet public”; Departments will work with Metro Technology Services to develop strategies and timelines for publishing open data containing information in a way that is complete, reliable, and has a high level of detail.Section 5. Open Data Report and Policy Review.(A) Within one year of the effective date of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.(B) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy should be reviewed and considered for revisions or additions that will continue to position Metro Government as a leader on issues of openness, efficiency, and technical best practices.Section 6. This Executive Order shall take effect as of October 11, 2013.Signed this 11th day of October, 2013, by Greg Fischer, Mayor of Louisville/Jefferson County Metro Government.GREG FISCHER, MAYOR

United States Imports: 3-Digit: IN: Parts for Office, Data Processing Machinery data was reported at 4.516 USD mn in May 2018. This records a decrease from the previous number of 6.768 USD mn for Apr 2018. United States Imports: 3-Digit: IN: Parts for Office, Data Processing Machinery data is updated monthly, averaging 2.243 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 9.438 USD mn in Jun 2012 and a record low of 0.419 USD mn in Sep 1997. United States Imports: 3-Digit: IN: Parts for Office, Data Processing Machinery data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.RF008: Imports: By SITC: Customs.

Abstract

Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms. The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year. The data has been collected from more than 4,000 farms and covers more than 20 different crops in 46 countries. The data (except USA data and for Barley in UK, Germany, Poland, Czech Republic, France and Spain) was collected, consolidated and reported by Kynetec (previously Market Probe), an independent market research agency. It can be used as benchmarks for crop yield and input efficiency.

Geographic coverage

National coverage

Analysis unit

Agricultural holdings

Kind of data

Sample survey data [ssd]

Sampling procedure

A. Sample design Farms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms. The reference farms were selected by Syngenta and the benchmark farms were randomly selected by Kynetec within the same cluster.

B. Sample size Sample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done by Kynetec based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).

C. Selection procedure The respondents were picked randomly using a “quota based random sampling” procedure. Growers were first randomly selected and then checked if they complied with the quotas for crops, region, farm size etc. To avoid clustering high number of interviews at one sampling point, interviewers were instructed to do a maximum of 5 interviews in one village.

BF Screened from Kenya were selected based on the following criterion: (a) Smallholder potato growers Location: Gwakiongo, Ol njororok, Wanjohi, Molo BACKGROUND: Open field potatoes RF: Flood or drip irrigation BF: No irrigation
Ploughing with a tractor or manually (e.g. with a hoe)
Usage of chemical and/or organic fertilizers
Selling the harvest is the main after harvest activity

(b) Smallholder tomato growers Location: Kitengela BACKGROUND: Open field tomatoes Flood or drip irrigation
Ploughing with a tractor or manually (e.g. with a hoe, a slasher)
Usage of chemical and/or organic fertilizers
Selling the harvest is the main after harvest activity

Mode of data collection

Face-to-face [f2f]

Research instrument

Data collection tool for 2019 covered the following information:

(A) PRE- HARVEST INFORMATION

PART I: Screening PART II: Contact Information PART III: Farm Characteristics a. Biodiversity conservation b. Soil conservation c. Soil erosion d. Description of growing area e. Training on crop cultivation and safety measures PART IV: Farming Practices - Before Harvest a. Planting and fruit development - Field crops b. Planting and fruit development - Tree crops c. Planting and fruit development - Sugarcane d. Planting and fruit development - Cauliflower e. Seed treatment

(B) HARVEST INFORMATION

PART V: Farming Practices - After Harvest a. Fertilizer usage b. Crop protection products c. Harvest timing & quality per crop - Field crops d. Harvest timing & quality per crop - Tree crops e. Harvest timing & quality per crop - Sugarcane f. Harvest timing & quality per crop - Banana g. After harvest PART VI - Other inputs - After Harvest a. Input costs b. Abiotic stress c. Irrigation

See all questionnaires in external materials tab

Cleaning operations

Data processing:

Kynetec uses SPSS (Statistical Package for the Social Sciences) for data entry, cleaning, analysis, and reporting. After collection, the farm data is entered into a local database, reviewed, and quality-checked by the local Kynetec agency. In the case of missing values or inconsistencies, farmers are re-contacted. In some cases, grower data is verified with local experts (e.g. retailers) to ensure data accuracy and validity. After country-level cleaning, the farm-level data is submitted to the global Kynetec headquarters for processing. In the case of missing values or inconsistences, the local Kynetec office was re-contacted to clarify and solve issues.

Quality assurance Various consistency checks and internal controls are implemented throughout the entire data collection and reporting process in order to ensure unbiased, high quality data.

• Screening: Each grower is screened and selected by Kynetec based on cluster-specific criteria to ensure a comparable group of growers within each cluster. This helps keeping variability low.

• Evaluation of the questionnaire: The questionnaire aligns with the global objective of the project and is adapted to the local context (e.g. interviewers and growers should understand what is asked). Each year the questionnaire is evaluated based on several criteria, and updated where needed.

• Briefing of interviewers: Each year, local interviewers - familiar with the local context of farming -are thoroughly briefed to fully comprehend the questionnaire to obtain unbiased, accurate answers from respondents.

• Cross-validation of the answers: o Kynetec captures all growers' responses through a digital data-entry tool. Various logical and consistency checks are automated in this tool (e.g. total crop size in hectares cannot be larger than farm size) o Kynetec cross validates the answers of the growers in three different ways: 1. Within the grower (check if growers respond consistently during the interview) 2. Across years (check if growers respond consistently throughout the years) 3. Within cluster (compare a grower's responses with those of others in the group) o All the above mentioned inconsistencies are followed up by contacting the growers and asking them to verify their answers. The data is updated after verification. All updates are tracked.

• Check and discuss evolutions and patterns: Global evolutions are calculated, discussed and reviewed on a monthly basis jointly by Kynetec and Syngenta.

• Sensitivity analysis: sensitivity analysis is conducted to evaluate the global results in terms of outliers, retention rates and overall statistical robustness. The results of the sensitivity analysis are discussed jointly by Kynetec and Syngenta.

• It is recommended that users interested in using the administrative level 1 variable in the location dataset use this variable with care and crosscheck it with the postal code variable.

Data appraisal

Due to the above mentioned checks, irregularities in fertilizer usage data were discovered which had to be corrected:

For data collection wave 2014, respondents were asked to give a total estimate of the fertilizer NPK-rates that were applied in the fields. From 2015 onwards, the questionnaire was redesigned to be more precise and obtain data by individual fertilizer products. The new method of measuring fertilizer inputs leads to more accurate results, but also makes a year-on-year comparison difficult. After evaluating several solutions to this problems, 2014 fertilizer usage (NPK input) was re-estimated by calculating a weighted average of fertilizer usage in the following years.

The data includes the numerical results of the ranking of the data management plans created during the Basics of Research Data Management (BRDM) courses worth 3 ECTS credits in the years 2020 - 2022. The ranking was made using the Finnish DMP Evaluation Guidance (https://doi.org/10.5281/zenodo.4729831). Additionally, the data contains the results of the analysis of the best RDM practices included in the DMPs.

Note 1: The comma-separated coded CSV version 1 (5.2.2024) may not open correctly on MacOS. You can use the comma-delimited CSV file version 2 or 3 (31.5.2024).

Note 2: Versions 1 (Quality_variations_in_ECRs_DMPs_data) and 3 (Quality_variations_in_ECRs_DMPs_data_ver_3) contain evaluations of DMPs, RDM best practices, as well as chosen methods for data sharing, storage, and preservation. In version 2 (Quality_variations_in_ECRs_DMPs_data_ver_2), the chosen methods for data sharing, storage, and preservation are missing.

Data is related to the research article https://doi.org/10.2218/ijdc.v18i1.873.

United States Exports: 3-Digit: MX: Automatic Data Processing Machines & Units data was reported at 409.211 USD mn in May 2018. This records a decrease from the previous number of 459.224 USD mn for Apr 2018. United States Exports: 3-Digit: MX: Automatic Data Processing Machines & Units data is updated monthly, averaging 270.930 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 504.634 USD mn in Oct 2017 and a record low of 62.749 USD mn in Jan 1996. United States Exports: 3-Digit: MX: Automatic Data Processing Machines & Units data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.RF006: Exports: By SITC: FAS.

Abstract

The main objective of the NLSS-III is to update data on the living standards of the people. The survey aims to assess the impact of various government policies and programs on the socioeconomic changes in the country during the last 7 years. Further, the survey aims to track changes experienced by previously enumerated households during the past fifteen and seven years. The Nepal Living Standards Survey, 1995-1996 (LSS-I) was a milestone in the collection of data for the objective measurement of the living standards of the people and for determining the level of poverty in the country. The survey covered a wide range of topics related to “household welfare” (demography, consumption, income, access to facilities, housing, education, health, employment, credit, remittances and anthropometry, etc.). LSS-I for the first time, provided a measure of “extent and dimension” of poverty in Nepal. The survey findings became popular among decision makers in the government agencies, the general public and the international agencies as well. It was realized that a second round of the survey was needed to update the results and to assess the impact of policies and programs on poverty and social indicators over the years (since the NLSS-I was conducted). Accordingly, the second round of the survey (LSS-II) was carried out in 2003/04 after 8 years of the first survey.

The findings of the LSS-II helped the government to monitor progress in improving national living standards and the survey became a good basis for monitoring the Millennium Development Goals (MDGs) over time. Realizing the importance of time series data, the Government of Nepal decided to conduct another round of the Nepal Living Standards Survey. Accordingly, the Central Bureau of Statistics for the third time conducted the survey in 2010/11 (LSS-III). The survey was carried out with the assistance from the World Bank.

Geographic coverage

National

Analysis unit

Households

Universe

All households in the country were considered eligible for selection in the survey. The survey, however, excluded the households of diplomatic missions. The institutional households (like people living in schools' hostels, prisons, army camps and hospitals) were also excluded from the survey. The household members were determined on the basis of the usual place of their residence. Foreign nationals whose usual place of residence is within the country were included in the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

(a) SAMPLING FRAME

The initial frame for the LSS-III survey was based on the frame prepared for the 2008 Nepal Labour Force Survey (NLFS-II). This was done "to take advantage of the cartographic segmentation and household listing operations" conducted by the CBS for the NLFS-II. Number of households at ward level was obtained from the 2001 Population Census. CBS has constructed a data set with basic information (number of households, total population, and male and female population) at the ward level. This data set was used to construct the frame for the selection of primary sampling units (PSUs). The PSU for the NLFS-II were either individual wards or sub-wards or groups of contiguous wards in the same VDC. A group of wards was considered as single PSU, to ensure that each unit continued at least 30 households. For the ultimate sample selection of households in the NLFS-II, a frame was prepared in each ward selected at the earlier stage of sampling. A list of all households was prepared in all the wards selected for the survey. Selection of households was carried out from these listings using systematic sampling with a random start. Before the listing, an intensive cartographic work was undertaken (in the urban areas and some of the rural areas) to form appropriate enumeration block having around 200 households.

(b) STRATIFICATION

For the NLFS-II sample selection, 75 districts along with the urban and rural areas were grouped into six strata - mountains, urban areas of the Kathmandu valley, other urban areas in the hills, rural hills, urban hills, urban Tarai and rural Tarai. These six strata of the NLFS-II were further regrouped into 14 strata for the NLSS-III purposes. The "explicit" strata formed for the NLSS-III were as follows: mountains, urban areas of the Kathmandu valley, other urban areas in the hills, rural eastern hills, rural central hills, rural western hills, rural mid-western hills, rural far-western hills, urban Tarai, rural eastern Tarai, rural central Tarai, rural western Tarai, rural mid-western Tarai, and rural far-western Tarai.

(c) SAMPLE DESIGN

The sample design adopted in LSS-III was modified sub-sample of the sample adopted in NLFS-II. For the NLFS-II, 800 PSUs were selected - 400 PSUs each from urban and rural areas. As mentioned earlier, the PSU for the NLFS-II was a ward or a sub-ward or a combination of wards. The PSUs were selected with probability proportional to size, the measure of size being the number of households. For the LSS-III, two independent samples were selected: the first was a cross sectional sample and the second was a panel. The panel sample consisted of PSUs and households previously enumerated in one or both of the past two rounds of the survey.

(d) SAMPLE SIZE

The sample size for the survey was estimated at 7200 households in 600 PSUs. Among them, 100 PSUs with 1200 households interviewed in the LSS-I or LSS-II were selected for re-interviewing in the LSS-III. 500 PSUs with 6000 households were selected as the cross-section sample. The PSUs were selected with probability proportional to size, the measure of size being the number of households in each ward. As mentioned earlier, twelve households were selected for the enumeration from each of the selected PSU.

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

Each of 20 field teams consisted of 5 members in which one person was specially trained for data entry and consistency checking. The supervisor of the team was responsible for final editing and consistency checks at the field level. Each field teams were provided with a laptop computer for data entry and they were required to complete the data entry and editing at the respective locality of data collection(PSU). CSPro version 3.3 was used for designing data entry codes. The data management package was embedded with specially designed consistency check codes for possible errors. The data collectors were required to revisit the households to verify for any missing or inconsistent values that were detected while running consistency checks. As in the previous two rounds of the survey, a distinctive feature of the LSS-III was the use of personal computer in the field. A data entry programme developed specifically for the survey was installed on each computer provided to the field teams. The data entry programme enabled the data entry operator as well as the team supervisor to find out mistakes and missing data (if any) and to perform inconsistency checks. When problems or errors were found, the interviewers returned to the households to correct the errors. The field supervision from the CBS included the real time check and verification of data entry work in the field. This process of real time entering, checking and correcting data in the field helped to enhance the quality of data collected. It also reduced the time lag between data collection and data processing. This also helped to make data available for processing shortly after the completion of the collection phase. After the completion of the field work (including data entry), the data diskettes were sent back to the CBS from the field. Data processing and analysis was done in the CBS using STATA statistical software package.

On October 15, 2013, Louisville Mayor Greg Fischer announced the signing of an open data policy executive order in conjunction with his compelling talk at the 2013 Code for America Summit. In nonchalant cadence, the mayor announced his support for complete information disclosure by declaring, "It's data, man."Sunlight Foundation - New Louisville Open Data Policy Insists Open By Default is the Future Open Data Annual ReportsSection 5.A. Within one year of the effective Data of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.The Open Data Management team (also known as the Data Governance Team is currently led by the city's Data Officer Andrew McKinney in the Office of Civic Innovation and Technology. Previously (2014-16) it was led by the Director of IT.Full Executive OrderEXECUTIVE ORDER NO. 1, SERIES 2013AN EXECUTIVE ORDERCREATING AN OPEN DATA PLAN. WHEREAS, Metro Government is the catalyst for creating a world-class city that provides its citizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovation, and a high quality of life; andWHEREAS, it should be easy to do business with Metro Government. Online government interactions mean more convenient services for citizens and businesses and online government interactions improve the cost effectiveness and accuracy of government operations; andWHEREAS, an open government also makes certain that every aspect of the built environment also has reliable digital descriptions available to citizens and entrepreneurs for deep engagement mediated by smart devices; andWHEREAS, every citizen has the right to prompt, efficient service from Metro Government; andWHEREAS, the adoption of open standards improves transparency, access to public information and improved coordination and efficiencies among Departments and partner organizations across the public, nonprofit and private sectors; andWHEREAS, by publishing structured standardized data in machine readable formats the Louisville Metro Government seeks to encourage the local software community to develop software applications and tools to collect, organize, and share public record data in new and innovative ways; andWHEREAS, in commitment to the spirit of Open Government, Louisville Metro Government will consider public information to be open by default and will proactively publish data and data containing information, consistent with the Kentucky Open Meetings and Open Records Act; andNOW, THEREFORE, BE IT PROMULGATED BY EXECUTIVE ORDER OF THE HONORABLE GREG FISCHER, MAYOR OF LOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:Section 1. Definitions. As used in this Executive Order, the terms below shall have the following definitions:(A) “Open Data” means any public record as defined by the Kentucky Open Records Act, which could be made available online using Open Format data, as well as best practice Open Data structures and formats when possible. Open Data is not information that is treated exempt under KRS 61.878 by Metro Government.(B) “Open Data Report” is the annual report of the Open Data Management Team, which shall (i) summarize and comment on the state of Open Data availability in Metro Government Departments from the previous year; (ii) provide a plan for the next year to improve online public access to Open Data and maintain data quality. The Open Data Management Team shall present an initial Open Data Report to the Mayor within 180 days of this Executive Order.(C) “Open Format” is any widely accepted, nonproprietary, platform-independent, machine-readable method for formatting data, which permits automated processing of such data and is accessible to external search capabilities.(D) “Open Data Portal” means the Internet site established and maintained by or on behalf of Metro Government, located at portal.louisvilleky.gov/service/data or its successor website.(E) “Open Data Management Team” means a group consisting of representatives from each Department within Metro Government and chaired by the Chief Information Officer (CIO) that is responsible for coordinating implementation of an Open Data Policy and creating the Open Data Report.(F) “Department” means any Metro Government department, office, administrative unit, commission, board, advisory committee, or other division of Metro Government within the official jurisdiction of the executive branch.Section 2. Open Data Portal.(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by Metro Government(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an Open Format.Section 3. Open Data Management Team.(A) The Chief Information Officer (CIO) of Louisville Metro Government will work with the head of each Department to identify a Data Coordinator in each Department. Data Coordinators will serve as members of an Open Data Management Team facilitated by the CIO and Metro Technology Services. The Open Data Management Team will work to establish a robust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data management policy that will adopt prevailing Open Format standards for Open Data, and develop agreements with regional partners to publish and maintain Open Data that is open and freely available while respecting exemptions allowed by the Kentucky Open Records Act or other federal or state law.Section 4. Department Open Data Catalogue.(A) Each Department shall be responsible for creating an Open Data catalogue, which will include comprehensive inventories of information possessed and/or managed by the Department.(B) Each Department’s Open Data catalogue will classify information holdings as currently “public” or “not yet public”; Departments will work with Metro Technology Services to develop strategies and timelines for publishing open data containing information in a way that is complete, reliable, and has a high level of detail.Section 5. Open Data Report and Policy Review.(A) Within one year of the effective date of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.(B) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy should be reviewed and considered for revisions or additions that will continue to position Metro Government as a leader on issues of openness, efficiency, and technical best practices.Section 6. This Executive Order shall take effect as of October 11, 2013.Signed this 11th day of October, 2013, by Greg Fischer, Mayor of Louisville/Jefferson County Metro Government.GREG FISCHER, MAYOR

Data Exchange Platform Market Outlook

According to our latest research, the global data exchange platform market size reached USD 1.98 billion in 2024, reflecting a robust expansion driven by the increasing demand for seamless, secure, and scalable data sharing solutions across industries. The market is projected to grow at a CAGR of 25.6% during the forecast period, reaching a value of USD 15.13 billion by 2033. This exponential growth is primarily fueled by the rapid digital transformation initiatives, surging data volumes, and the critical need for real-time data access and interoperability across diverse business ecosystems.

One of the most significant growth factors for the data exchange platform market is the intensifying focus on data-driven decision-making within organizations. As enterprises increasingly rely on big data analytics, artificial intelligence, and machine learning, the demand for robust platforms that can facilitate the secure and efficient exchange of data has surged. Industries such as healthcare, BFSI, and manufacturing are leveraging these platforms to break down data silos, enhance operational efficiency, and accelerate innovation cycles. Furthermore, the proliferation of IoT devices and the growing adoption of cloud-based solutions are generating unprecedented volumes of data, necessitating advanced data exchange mechanisms to ensure timely and actionable insights.

Another critical driver is the evolving regulatory landscape, which mandates stricter data governance, privacy, and compliance standards. Regulations such as GDPR in Europe, CCPA in California, and similar frameworks globally have compelled organizations to adopt data exchange platforms that ensure secure data handling, consent management, and auditability. This regulatory push not only mitigates risks associated with data breaches and non-compliance but also fosters trust among stakeholders, thereby accelerating platform adoption. Additionally, the rise of digital ecosystems and collaborative business models, especially in sectors like retail and telecommunications, is further propelling the demand for interoperable data exchange solutions that support seamless integration across multiple partners and platforms.

The increasing complexity of enterprise IT environments, coupled with the need for real-time data integration, is also shaping the marketÂ’s trajectory. Modern data exchange platforms are evolving to support hybrid and multi-cloud architectures, enabling organizations to manage data flows across on-premises and cloud environments efficiently. This flexibility is particularly crucial for large enterprises with distributed operations and for SMEs seeking cost-effective scalability. Moreover, advancements in API management, blockchain for secure transactions, and data monetization capabilities are expanding the functional scope of these platforms, making them indispensable tools for digital transformation.

As the focus on sustainability and environmental responsibility grows, the concept of Scope-3 Data Exchange is gaining traction among businesses. Scope-3 emissions, which include indirect emissions occurring in a company’s value chain, are becoming a critical area for organizations aiming to achieve comprehensive carbon neutrality. By leveraging data exchange platforms, companies can efficiently share and analyze Scope-3 data with suppliers, partners, and stakeholders. This collaborative approach not only enhances transparency but also drives collective efforts towards reducing carbon footprints across the supply chain. The integration of Scope-3 Data Exchange into existing data platforms is facilitating more informed decision-making and fostering a culture of accountability and sustainability within industries.

From a regional perspective, North America continues to dominate the global data exchange platform market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The regionÂ’s leadership is attributed to the presence of major technology vendors, early adoption of digital technologies, and a strong emphasis on regulatory compliance. However, Asia Pacific is emerging as the fastest-growing market, driven by rapid industrialization, government-led digital initiatives, and the increasing penetration of cloud computing across emerging economies. Latin America and the Middle

Inventory Time Series for Automatic Data Processing Inc. Automatic Data Processing, Inc. provides cloud-based human capital management (HCM) solutions worldwide. It operates in two segments, Employer Services and Professional Employer Organization (PEO). The Employer Services segment offers strategic, cloud-based platforms, and human resources (HR) outsourcing solutions. This segment's offerings include RUN Powered by ADP, a software platform for small business payroll, HR, and compliance; ADP Workforce Now, a HCM solution used across mid-sized and large businesses to manage employees; and ADP Lyric HCM, a solution for HR management, payroll, workforce management, talent, and data analytics. The PEO Services segment provides HR and employment administration outsourcing solutions under ADP TotalSource name to businesses through a co-employment model. The segment also provides guidance, user-friendly technology, comprehensive employee benefits, and a risk management, safety, and workers' compensation program. The company was founded in 1949 and is headquartered in Roseland, New Jersey.

On October 15, 2013, Louisville Mayor Greg Fischer announced the signing of an open data policy executive order in conjunction with his compelling talk at the 2013 Code for America Summit. In nonchalant cadence, the mayor announced his support for complete information disclosure by declaring, "It's data, man."Sunlight Foundation - New Louisville Open Data Policy Insists Open By Default is the Future Open Data Annual ReportsSection 5.A. Within one year of the effective Data of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.The Open Data Management team (also known as the Data Governance Team is currently led by the city's Data Officer Andrew McKinney in the Office of Civic Innovation and Technology. Previously (2014-16) it was led by the Director of IT.Full Executive OrderEXECUTIVE ORDER NO. 1, SERIES 2013AN EXECUTIVE ORDERCREATING AN OPEN DATA PLAN. WHEREAS, Metro Government is the catalyst for creating a world-class city that provides its citizens with safe and vibrant neighborhoods, great jobs, a strong system of education and innovation, and a high quality of life; andWHEREAS, it should be easy to do business with Metro Government. Online government interactions mean more convenient services for citizens and businesses and online government interactions improve the cost effectiveness and accuracy of government operations; andWHEREAS, an open government also makes certain that every aspect of the built environment also has reliable digital descriptions available to citizens and entrepreneurs for deep engagement mediated by smart devices; andWHEREAS, every citizen has the right to prompt, efficient service from Metro Government; andWHEREAS, the adoption of open standards improves transparency, access to public information and improved coordination and efficiencies among Departments and partner organizations across the public, nonprofit and private sectors; andWHEREAS, by publishing structured standardized data in machine readable formats the Louisville Metro Government seeks to encourage the local software community to develop software applications and tools to collect, organize, and share public record data in new and innovative ways; andWHEREAS, in commitment to the spirit of Open Government, Louisville Metro Government will consider public information to be open by default and will proactively publish data and data containing information, consistent with the Kentucky Open Meetings and Open Records Act; andNOW, THEREFORE, BE IT PROMULGATED BY EXECUTIVE ORDER OF THE HONORABLE GREG FISCHER, MAYOR OF LOUISVILLE/JEFFERSON COUNTY METRO GOVERNMENT AS FOLLOWS:Section 1. Definitions. As used in this Executive Order, the terms below shall have the following definitions:(A) “Open Data” means any public record as defined by the Kentucky Open Records Act, which could be made available online using Open Format data, as well as best practice Open Data structures and formats when possible. Open Data is not information that is treated exempt under KRS 61.878 by Metro Government.(B) “Open Data Report” is the annual report of the Open Data Management Team, which shall (i) summarize and comment on the state of Open Data availability in Metro Government Departments from the previous year; (ii) provide a plan for the next year to improve online public access to Open Data and maintain data quality. The Open Data Management Team shall present an initial Open Data Report to the Mayor within 180 days of this Executive Order.(C) “Open Format” is any widely accepted, nonproprietary, platform-independent, machine-readable method for formatting data, which permits automated processing of such data and is accessible to external search capabilities.(D) “Open Data Portal” means the Internet site established and maintained by or on behalf of Metro Government, located at portal.louisvilleky.gov/service/data or its successor website.(E) “Open Data Management Team” means a group consisting of representatives from each Department within Metro Government and chaired by the Chief Information Officer (CIO) that is responsible for coordinating implementation of an Open Data Policy and creating the Open Data Report.(F) “Department” means any Metro Government department, office, administrative unit, commission, board, advisory committee, or other division of Metro Government within the official jurisdiction of the executive branch.Section 2. Open Data Portal.(A) The Open Data Portal shall serve as the authoritative source for Open Data provided by Metro Government(B) Any Open Data made accessible on Metro Government’s Open Data Portal shall use an Open Format.Section 3. Open Data Management Team.(A) The Chief Information Officer (CIO) of Louisville Metro Government will work with the head of each Department to identify a Data Coordinator in each Department. Data Coordinators will serve as members of an Open Data Management Team facilitated by the CIO and Metro Technology Services. The Open Data Management Team will work to establish a robust, nationally recognized, platform that addresses digital infrastructure and Open Data.(B) The Open Data Management Team will develop an Open Data management policy that will adopt prevailing Open Format standards for Open Data, and develop agreements with regional partners to publish and maintain Open Data that is open and freely available while respecting exemptions allowed by the Kentucky Open Records Act or other federal or state law.Section 4. Department Open Data Catalogue.(A) Each Department shall be responsible for creating an Open Data catalogue, which will include comprehensive inventories of information possessed and/or managed by the Department.(B) Each Department’s Open Data catalogue will classify information holdings as currently “public” or “not yet public”; Departments will work with Metro Technology Services to develop strategies and timelines for publishing open data containing information in a way that is complete, reliable, and has a high level of detail.Section 5. Open Data Report and Policy Review.(A) Within one year of the effective date of this Executive Order, and thereafter no later than September 1 of each year, the Open Data Management Team shall submit to the Mayor an annual Open Data Report.(B) In acknowledgment that technology changes rapidly, in the future, the Open Data Policy should be reviewed and considered for revisions or additions that will continue to position Metro Government as a leader on issues of openness, efficiency, and technical best practices.Section 6. This Executive Order shall take effect as of October 11, 2013.Signed this 11th day of October, 2013, by Greg Fischer, Mayor of Louisville/Jefferson County Metro Government.GREG FISCHER, MAYOR

United States Exports: 3-Digit: MX: Parts for Office, Data Processing Machine data was reported at 1.052 USD bn in Sep 2018. This records an increase from the previous number of 589.833 USD mn for Aug 2018. United States Exports: 3-Digit: MX: Parts for Office, Data Processing Machine data is updated monthly, averaging 322.352 USD mn from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 1.137 USD bn in May 2018 and a record low of 62.310 USD mn in Jan 1996. United States Exports: 3-Digit: MX: Parts for Office, Data Processing Machine data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.RF006: Exports: By SITC: FAS.

United States Imports: 3-Digit: Automatic Data Processing Machines & Units data was reported at 8.353 USD bn in May 2018. This records an increase from the previous number of 7.465 USD bn for Apr 2018. United States Imports: 3-Digit: Automatic Data Processing Machines & Units data is updated monthly, averaging 5.047 USD bn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 8.587 USD bn in Nov 2013 and a record low of 2.810 USD bn in Jan 1996. United States Imports: 3-Digit: Automatic Data Processing Machines & Units data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA016: Trade Statistics: SITC: Imports: Customs.