Red-Black trees are a type of Binary Search Tree that use color identifiers and rotations to balance themselves, maintaining a search time of O(logn). In a Red-Black tree, every node is assigned a color bit to identify it as red or black. There are three major rules this data structure follows:

1. Every root node is black
2. All red nodes have black children
3. The path from the root to the end of the tree contains an equal number of black nodes

Inserting nodes into a Red-Black tree may require recoloring and/or a rotation, similar to rotations found in AVL trees. The insertion algorithm and recoloring is covered below:

• If the tree is empty, insert a new node and color it black.
• Otherwise, insert a new leaf node to the end and color it red.
• If the parent node is red and its neighbor (the uncle of the inserted node) is also red, a recoloring must be done. The color of the uncle, parent, and grandparent node must be flipped.
• If the parent node is red and its neighbor (the uncle of the inserted node) is null/black (all null nodes are treated as black), then a rotation must be performed on the inserted node and the parent. For the last step, it's possible a Left or Right rotation would be performed. This depends on which rotation would ultimately balance the tree and maintain the rules of coloring. In some cases, even after a rotation, additional rotations or recolorings will be performed until the tree is fully balanced.