Prognostications and predictions are inherently flawed. Does anyone really believe Punxsutawney Phil is a reliable weather forecaster? And how many of us, in our predictions of what would happen in ...

As data creation and retention rates continue to increase, the time frame for active data use has shrunk, with most files accessed less frequently and for shorter periods before becoming dormant. This ...

Data archiving is an important aspect of data governance and data management. Not only does archiving help to reduce hardware and storage costs, but it is also an important aspect of long-term data ...

To make data archives that last is an urgent task. That’s the message of the European Commission’s eArchiving initiative, which has just announced version 2.0 of its architecture and that its funding ...

When it comes to archiving data, there are three different approaches, generally speaking. Selecting the right system hinges on technical capabilities as well as external factors such as budget ...

It’s been reported that the average health system manages 18 different electronic medical records (EMR) vendors. When you consider the path to interoperability, defined by the Office of the National ...

It seems like only yesterday we covered a project using QR codes to archive data on paper (OK, it was last Thursday), so here’s another way to do it, this time with a dedicated codec using the full ...

This study will develop and demonstrate a framework for forecasting long-term costs for preserving, archiving, and accessing various types of biomedical data and estimating potential future benefits ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...