Which standards should be used?
Posted: Sat Jan 25, 2025 4:11 am
Most relevant organizations and initiatives for standardization in the field of laboratory and life sciences data.
As mentioned above, there are many initiatives for standardization. However, the choice and intended uses are so large that it is difficult to decide on one. Unfortunately, the usual answer is "It depends". Nevertheless, this is a good answer, because every laboratory and its needs are different and must be examined more closely. It is therefore worthwhile to benefit from the experience and expertise of other laboratories.
Data standards can help laboratories solve many of the problems that have arisen due to the tremendous growth of knowledge and data. Data standards also help to share information more easily, efficiently and transparently. In addition, they help to more easily meet data principles that play an important role in meeting regulatory requirements. There are france consumer email list many organizations and initiatives that already promote standards, guidelines and best practices in the field of laboratory and life sciences data. Therefore, it is worthwhile to learn from the experiences of other laboratories or to get support to implement data standards that improve collaboration, information sharing and quality assurance in the laboratory.
Do you want to optimize your laboratories through digitalization and are not sure where to start? Or do you have an urgent question that needs to be answered? We offer you fast and free advice on laboratory digitalization.
If the long-lasting power supply is a relevant factor, software-implemented algorithms should definitely be avoided.
Connecting devices via narrowband IoT makes sense in various use cases, but is often simply necessary due to the operating environment of the devices. Although the technology has been available across the board for at least a year, it is only being used gradually. The available resources are therefore limited. The biggest hurdle is implementing security, i.e. end-to-end encryption and device authentication.
Nevertheless, nothing stands in the way of its use if the software used has been adapted to the specific application on both the device and cloud side and the necessary architecture has been created.
If this blog series has piqued your interest or you have an exciting use case for LPWAN technologies, then contact us – we will be happy to advise you.
Do you want to optimize your production based on data, but don't want to have to collect the data from different software systems and databases? Do you not want to have to ask a specialist for every data query? Then take a look at our website and find out how Industrial Internet of Things platforms - IIoT platforms for short - can help you with this.
You can find more exciting topics from the adesso world in our previously published blog posts .
Christopher Krafft is a software engineer. Since 2016, he has been developing software solutions in the IoT environment - initially at com2m and now in the Line of Business Manufacturing Industry at adesso - and is working on communication between the cloud and end devices.
As mentioned above, there are many initiatives for standardization. However, the choice and intended uses are so large that it is difficult to decide on one. Unfortunately, the usual answer is "It depends". Nevertheless, this is a good answer, because every laboratory and its needs are different and must be examined more closely. It is therefore worthwhile to benefit from the experience and expertise of other laboratories.
Data standards can help laboratories solve many of the problems that have arisen due to the tremendous growth of knowledge and data. Data standards also help to share information more easily, efficiently and transparently. In addition, they help to more easily meet data principles that play an important role in meeting regulatory requirements. There are france consumer email list many organizations and initiatives that already promote standards, guidelines and best practices in the field of laboratory and life sciences data. Therefore, it is worthwhile to learn from the experiences of other laboratories or to get support to implement data standards that improve collaboration, information sharing and quality assurance in the laboratory.
Do you want to optimize your laboratories through digitalization and are not sure where to start? Or do you have an urgent question that needs to be answered? We offer you fast and free advice on laboratory digitalization.
If the long-lasting power supply is a relevant factor, software-implemented algorithms should definitely be avoided.
Connecting devices via narrowband IoT makes sense in various use cases, but is often simply necessary due to the operating environment of the devices. Although the technology has been available across the board for at least a year, it is only being used gradually. The available resources are therefore limited. The biggest hurdle is implementing security, i.e. end-to-end encryption and device authentication.
Nevertheless, nothing stands in the way of its use if the software used has been adapted to the specific application on both the device and cloud side and the necessary architecture has been created.
If this blog series has piqued your interest or you have an exciting use case for LPWAN technologies, then contact us – we will be happy to advise you.
Do you want to optimize your production based on data, but don't want to have to collect the data from different software systems and databases? Do you not want to have to ask a specialist for every data query? Then take a look at our website and find out how Industrial Internet of Things platforms - IIoT platforms for short - can help you with this.
You can find more exciting topics from the adesso world in our previously published blog posts .
Christopher Krafft is a software engineer. Since 2016, he has been developing software solutions in the IoT environment - initially at com2m and now in the Line of Business Manufacturing Industry at adesso - and is working on communication between the cloud and end devices.