[[edit](/w/index.php?title=Provenance&action=edit&section=10 "Edit section: Data provenance")] Further information: [Data lineage](//en.wikipedia.org/wiki/Data_lineage "Data lineage") [Scientific research](//en.wikipedia.org/wiki/Scientific_research "Scientific research") is generally held to be of good provenance when it is documented in detail sufficient to allow [reproducibility](//en.wikipedia.org/wiki/Reproducibility "Reproducibility").[[48]](#cite_note-48)[[49]](#cite_note-49)[Scientific workflow systems](//en.wikipedia.org/wiki/Scientific_workflow_system "Scientific workflow system") assist scientists and programmers with tracking their data through all transformations, analyses, and interpretations. Data sets are reliable when the processes used to create them are [reproducible](//en.wikipedia.org/wiki/Reproducibility "Reproducibility") and analyzable for defects.[[50]](#cite_note-50) Security researchers are interested in data provenance because it can analyze suspicious data and make large opaque systems transparent.[[51]](#cite_note-51) Current initiatives to effectively manage, share, and reuse ecological data are indicative of the increasing importance of data provenance. Examples of these initiatives are [National Science Foundation](//en.wikipedia.org/wiki/National_Science_Foundation "National Science Foundation") [Datanet](//en.wikipedia.org/wiki/Datanet "Datanet") projects, [DataONE](//en.wikipedia.org/wiki/DataONE "DataONE") and Data Conservancy, as well as the [U.S. Global Change Research Program](//en.wikipedia.org/wiki/U.S._Global_Change_Research_Program "U.S. Global Change Research Program").[[52]](#cite_note-Ma,_et_al.-52) Some international academic consortia, such as the [Research Data Alliance](//en.wikipedia.org/wiki/Research_Data_Alliance "Research Data Alliance"), have specific groups to tackle issues of provenance. In that case it is the Research Data Provenance Interest Group.[[53]](#cite_note-53)

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  "text": "[[edit](/w/index.php?title=Provenance&action=edit&section=10 \"Edit section: Data provenance\")]\n\nFurther information: [Data lineage](//en.wikipedia.org/wiki/Data_lineage \"Data lineage\")\n\n[Scientific research](//en.wikipedia.org/wiki/Scientific_research \"Scientific research\") is generally held to be of good provenance when it is documented in detail sufficient to allow [reproducibility](//en.wikipedia.org/wiki/Reproducibility \"Reproducibility\").[[48]](#cite_note-48)[[49]](#cite_note-49)[Scientific workflow systems](//en.wikipedia.org/wiki/Scientific_workflow_system \"Scientific workflow system\") assist scientists and programmers with tracking their data through all transformations, analyses, and interpretations. Data sets are reliable when the processes used to create them are [reproducible](//en.wikipedia.org/wiki/Reproducibility \"Reproducibility\") and analyzable for defects.[[50]](#cite_note-50) Security researchers are interested in data provenance because it can analyze suspicious data and make large opaque systems transparent.[[51]](#cite_note-51)\n\nCurrent initiatives to effectively manage, share, and reuse ecological data are indicative of the increasing importance of data provenance. Examples of these initiatives are [National Science Foundation](//en.wikipedia.org/wiki/National_Science_Foundation \"National Science Foundation\") [Datanet](//en.wikipedia.org/wiki/Datanet \"Datanet\") projects, [DataONE](//en.wikipedia.org/wiki/DataONE \"DataONE\") and Data Conservancy, as well as the [U.S. Global Change Research Program](//en.wikipedia.org/wiki/U.S._Global_Change_Research_Program \"U.S. Global Change Research Program\").[[52]](#cite_note-Ma,_et_al.-52) Some international academic consortia, such as the [Research Data Alliance](//en.wikipedia.org/wiki/Research_Data_Alliance \"Research Data Alliance\"), have specific groups to tackle issues of provenance. In that case it is the Research Data Provenance Interest Group.[[53]](#cite_note-53)",
  "access_class": "public",
  "heading": "Data provenance",
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}