Data preservation involves formal activities that are governed by policies, regulations and strategies directed towards protecting and prolonging the existence and authenticity of data and its metadata.
Data preservation is a strategic process that starts with the identification of data assets and ends with the preservation of those assets. Data stewardship is an important part of data preservation, as it helps ensure that all relevant decisions are made about how to manage and use data, including when to destroy or archive it.
Most historical data collected over time has been lost or destroyed. There are now many different ways to preserve data and many different important organizations involved in doing so.
The first digital data preservation storage solutions appeared in the 1950s, and were usually flat or hierarchically structured. In the 1970s relational databases and spreadsheets appeared, and are now commonly used.
Data loss can affect everything from personal information to governmental records to business records, and can negatively affect things such as environmental protection, medical research, homeland security, public health and safety, economic development and culture.
The U.S. Geological Survey collects data on natural hazards, natural resources, and landscapes, which are used by land management agencies for planning and management.
The data is used by land management agencies to identify potential problems and hazards, protect natural resources, and develop plans for land use. The information may also be used by organizations such as the Environmental Protection Agency (EPA) in their regulatory activities.
Data holdings are collections of gathered data that are informally kept, but not necessarily prepared for long-term preservation.
Data retention differs from data preservation in that retention policies often circle around when data should be deleted on purpose as well as held from public access. The following areas are connected with data preservation process.
1. Data Collection and Retention
2. Ethics of Data Collection
3. Legal Issues Associated with Data Collection
4. Privacy Rights in the Age of Big Data
5. How to Maximize the Benefit of Collecting Data
6. Advances in Technologies for data Management and Analysis
7. Challenges posed by Huge Datasets and Machine-Learning Algorithms
8. The Role of Digital Preservation in Managing Big Data Assets
9. Forecasting trends in big data technologies and their impact on data management
Digital preservation is the process of preserving digital data against technological threats, such as the occurrence of technological malfunction or change. It is aware of the inevitable change in technology and protocols, and prepares for the integrity of the data being conserved.
It is important for businesses and organisations to undertake digital preservation as it can help protect their data, especially if they are in the process of transitioning to a new technology. It can also provide Proof of Concept (POC) and Trial Data that could be used when progressing with a future project or product.
Trusted Digital Repository
A repository must have financial responsibility in order to ensure that it can meet its obligations. The organization must also be buoyant so that it can maintain stability and continue operations during times of change or adversity. Finally, administrative responsibility security and safety is necessary in order to protect the integrity of the data stored within the repository.