Addressing Data Bottlenecks in the Dairy Farm Industry
2. Materials and Methods
2.2. Statistical Analysis
3.1. Demographics of Respondents
3.2. Survey Responses by Sections
3.2.1. Data Collection Protocols, Data Sharing, Data Ownership, and Data Security
- Data collection protocols
- Data sharing
- Should companies pay farmers for their raw data?
- Should farmers pay for the aggregation and added value to the data?
- Should companies reduce the price of technology IF farmers are willing to share their data?
- Should farmers receive value added dashboards and tools in exchange for sharing their data?
- Intellectual property, data exchange and data management challenges
- Perception of data management challenges
3.2.2. Data Uses, Data Access, Data Transformation, and Data Integration
- Currently, do you integrate data from different data sources at the farm or at your organization or research institution? And if yes, how is the integration done?
- How useful is data integration for the decision-making process at the farm or for the development of tools at your organization or research institution?
- If you are not currently integrating data, why not?
3.2.3. Technologies and Decision Support Tools: Adoption and Usage
4.1. Management and Control of Data
4.2. Value of Farm Data
4.3. Technological Adoption
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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|Question||Farmer Agreeing with Statement, %||Non-Farmer Agreeing with Statement, %||p-Value|
|Knowledge about data collection protocols a||27||35||NA b|
|Data sharing out of the farm is worth it||84.5||95.8||0.14|
|Farmer signed a data share agreement in the last five years||19.2||NA c||NA b|
|Farmer knows who has access to their farm data||34.3||NA c||NA b|
|Never or rarely read the terms and conditions before clicking “I agree”||68.5||66.7||0.38|
|Farmer sole owner of raw data collected at the farm||48||55||0.32|
|Companies or researchers should pay the farmer for sharing raw data||68.3||31.7||0.03|
|Intellectual property of a product developed by a university, research institution or company should be shared with the farmer, researcher, university, research institution, or company||57.5||45.8||0.06|
|Data quality should determine the amount of payment when compensating for data||90.3||NA b|
Agreeing with Statement, %
|Non-Farmer Agreeing with Statement, %||p-Value|
|Use of transformed data for decision making||62||82||0.009|
|Currently paying to access transformed data of their farms||27||NA a||NA a|
|Price paid to access their transformed data is fair||66.7||NA a||NA a|
|Charged price to access the transformed data is fair||NA a||82.4||NA a|
|Time exploring data for decision making is less than 1 h/day||63||NA a||NA a|
|Using integrated data is useful||68||70||0.320|
|Data integration is done manually||47||34||0.295|
|Keep historical data is a common practice||87||NA a||NA a|
|Question||Farmer Agreeing with Statement, %|
|Automatic body condition score technologies had the most interest to be adopted||56|
|Abandonment across technologies was relatively low||10.4|
|Ease of implementation is a must for the adoption of a technology||69|
|Daily reports are the preferred reporting mechanism||44|
|‘When to cull a cow’ is the most common decision taken from a decision support tool||83|
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Fadul-Pacheco, L.; Wangen, S.R.; da Silva, T.E.; Cabrera, V.E. Addressing Data Bottlenecks in the Dairy Farm Industry. Animals 2022, 12, 721. https://doi.org/10.3390/ani12060721
Fadul-Pacheco L, Wangen SR, da Silva TE, Cabrera VE. Addressing Data Bottlenecks in the Dairy Farm Industry. Animals. 2022; 12(6):721. https://doi.org/10.3390/ani12060721Chicago/Turabian Style
Fadul-Pacheco, Liliana, Steven R. Wangen, Tadeu Eder da Silva, and Victor E. Cabrera. 2022. "Addressing Data Bottlenecks in the Dairy Farm Industry" Animals 12, no. 6: 721. https://doi.org/10.3390/ani12060721