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ALCOA to ALCOA Plus for Data Integrity

ALCOA was an tool to implement the data integrity in pharmaceutical manufacturing facility but ACLOA + made this tool more powerful and sharp. Data security has its importance in pharmaceuticals.
The term Alcoa is an Acronym, which stands for Attributable, Legible, Contemporaneous, Original and Accurate. Alcoa was then expanded to Alcoa Plus (Alcoa +), by the addition of a few more concepts which are; Complete, Consistent, Enduring and Available.

Over time, the concept of Alcoa plus has been adopted by various industries, as a framework for ensuring that data security and integrity (data protection) is observed and maintained. Alcoa Plus has been implemented and is in use by various big bodies, such as the FDA, WHO, and GAMP. ALCOA is all about data quality.

In order to understand the concept better, below we will break down Alcoa Plus and define each part of the acronym:

1. Attributable

Attributable dictates that any data should be easily identified to the person who did the data collection, place of origin and the time of data collection should also be noted down. in the case of alteration of data, the person making the corrections should also be noted down.

2. Legible

Legible data means the data can be easily read. This attribute should be ensured both in the short and long term, therefore the materials used in recording and collecting the data should be durable.

3. Contemporaneous

Data recorded should be contemporary in nature. This dictates that the time of data collection should correspond accurately with the time of data recording. Any data collection should have a date and time, and the same should be ensured in the case of any later corrections.

4. Original

In order to preserve the meaning and integrity of data, the original records should be preserved, meaning the material used should be durable. in the case of duplicates, the creator of the original records should confirm the authenticity of the copies.

5. Accurate

For any data to be viable, it should be error free. In the case of any amendments, there should be accompanying documents to support the changes. The data should be complete and viable. Data quality must be maintained.

6. Complete

When data is complete in nature, it means there is no deletion that has taken place from the date of documenting. This includes any changes that have been made during the life of the data.

7. Consistent

The data should be chronologically arranged, with time stamps included for any addition to the original data. Consistency should be ensured by applying various audits over the life of the data.

8. Enduring

The material used to record the data should be in a manner which will last a long duration of time without losing the readability.

9. Available

Data should be accessible whenever needed, over the life of the data. Availability ensures the data meets it's use, since it can be applied when the need arises.

Every organization is built around data, either in the form of research or normal day to day records. This data is crucial for future references, or when the management wishes to make decisions depending on past occurrences. Data is also used more importantly during profitability assessments by top level management. This brings up the need for data integrity, a need easily satisfied by application of the Alcoa plus concept.

Ankur Choudhary is India's first professional pharmaceutical blogger, author and founder of, a widely-read pharmaceutical blog since 2008. Sign-up for the free email updates for your daily dose of pharmaceutical tips.
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17 comments: Post Yours! Read Comment Policy ▼

  1. very informative and updated literature.

  2. Great and Useful informative.

  3. This is very much appreciable, as many of the companies in india were receiving warning letters from FDA due to lack of implementation of ALCOA.

    Best Regards,
    AJAY K

    1. Great and very impotant information.

  4. useful information

  5. This information is very useful and required to improve data integrity issues which is presently most common for every industries.
    Thanks for sharing most informative information.

  6. Very use full information for every pharmaceutical persons....

  7. Information provided was awesome that anyone can take the topics as an aid to build a quality document in any stream. Thank you pharma guidelines for being the pharma expert and helping achieve perfection in documentation.

  8. very nice information.
    From Ramesh Shrivastav

  9. Very useful information sir

  10. Very nice and useful information about data integrity.

  11. Good and useful information


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