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Data Flows – Key Steps

Data Flows – Key Steps. First Identify DAC where data will be archived Agree where metadata and data will be published by MEDIN (e.g. to UKLP, INSPIRE) Define access and licence conditions Agree format requirements and archiving costs Collect Data

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Data Flows – Key Steps

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  1. Data Flows – Key Steps First • Identify DAC where data will be archived • Agree where metadata and data will be published by MEDIN (e.g. to UKLP, INSPIRE) • Define access and licence conditions • Agree format requirements and archiving costs Collect Data • Generate a unique resource identifier code • Generate, validate and publish metadata record • Prepare data according to appropriate guidelines • Apply Quality Control • Archive data at DAC • Provide data updates as agreed with DAC

  2. Case Study 1. Habitat Survey by a Countryside Agency Data from consultancy Flow of Data Flow of Metadata Metadata created using online tool, URI assigned User Copies of data and metadata stored at Countryside agency Countryside Agency Updates Errors in data/metadata reported back to Countryside Agency MEDIN DAC Error(s) found Metadata uploaded to server and available through portal QA QA Data archived at DAC Accesses data according to availability agreed by Countryside Agency USER Searches for appropriate data through the metadata portal

  3. Case Study 3. A Research Cruise by a Fisheries Laboratory Fisheries Laboratory Flow of Data Flow of Metadata Cruise data User Cruise Report Cruise Data CSR Updates Metadata conversion mapping CSR to MEDIN metadata and schematron, URI assigned. This may be carried out either by the fisheries laboratory or the DAC, to be decided with the fisheries lab Errors in data reported back to Fisheries lab MEDIN metadata Error(s) found MEDIN DAC Data archived (Including Cruise Reports and CSRs) QA according to type Metadata made available online Accesses appropriate data according to availability agreed by Fisheries Laboratory Searches for appropriate data using metadata on webportal USER

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