Data Collection, Processing and Analysis

Acquiring data: Acquisition involves collecting or adding to the data holdings. There are several methods of acquiring data:

  • collecting new data
  • using your own previously collected data
  • reusing someone others data
  • purchasing data
  • acquired from Internet (texts, social media, photos)

Data processing: A series of actions or steps performed on data to verify, organize, transform, integrate, and extract data in an appropriate output form for subsequent use. Methods of processing must be rigorously documented to ensure the utility and integrity of the data.

Data Analysis involves actions and methods performed on data that help describe facts, detect patterns, develop explanations and test hypotheses. This includes data quality assurance, statistical data analysis, modeling, and interpretation of results.

Results: The results of above mentioned actions are published as a research paper. In case the research data is made accessible, one has to prepare the data set for opening up.

An Open Access research paper and linked Open Data (see data availability):

Anagnostou P, Capocasa M, Milia N, Sanna E, Battaggia C, et al. (2015) When Data Sharing Gets Close to 100%: What Human Paleogenetics Can Teach the Open Science Movement. PLoS ONE 10(3): e0121409. doi:10.1371/journal.pone.0121409