Filling out a Data Request Form

The Data Request Form is a construct defined in the Data Republic Participation Agreement which allows Data Product Developers to request access to a Dataset, and allows Data Contributors to approve, decline, or request ore information for each request.
 
Steps to fill out a DRF:
  1. Log into Senate
  2. Click on the "Projects" menu item on the left half of the screen
  3. Click the "Create Request" button in the top right hand corner
  4. For the smoothest experience in having your request actioned, we recommend you fill out the Data Request form as follows:
    1. Name & Description - the Description field is your opportunity to provide a brief summary of the scope and aim of your analysis, which can often be best expressed by describing the actual problem you are trying to solve through the use of this data. If you haven’t interacted with the Data Contributor before, this would also be a great field to describe your company, your core operational focus, and the industries in which you normally work. You should also clearly describe what format and level of aggregation the final product you are creating will take so that the contributor understands exactly what you intend to export from the platform.
    2. Intended use – the Use of the Data Product field should clearly describe how the results of your analysis will be used by the intended recipient and at what level do you intend to aggregate the data. Will your analysis help a merchant plan their retail strategy or determine future expansion opportunities, for example. It is helpful for the data contributor to have as much information as possible about the actual use of their data to ensure it is being used in a way that complies with their principles and data policies.
    3. Intended recipients - Each recipient of your analysis must be listed in the Intended Recipient of Data Product field. This needs to be a complete list of all intended recipients, classified by the following types:
      1. Application Developer (people building analysis tools for re-use and resale).
      2. Data Contributor (you're doing analysis for the original Data Contributor).
      3. Data Republic (the end result will be a Data Product that you'll sell on the Data Republic platform)End Client (a third party has commissioned your analysis).
      4. Other Participant (the recipient will be another registered participant in the Data Republic platform).
      5. Unknown (there is no specific recipient for this project, which is an option that you should rarely use as it is requesting a fairly open use of a contributors data that does not provide them much information on which to judge the request).
  5. Datasets - you can add multiple Datasets to your DRF by clicking the Add/Remove button under Datasets. Each Data Contributor that is responsible for a requested Dataset or listing will receive a copy of your DRF.
  6. Product License Term – the Product License Term allows you to specific the initial period that you expect to be marketing or using the results of your analysis, and a renewal term that will be automatically triggered at the end of your initial term. You should be as conservative as possible with your time frames for continued access to the contributors data.
  7. Renewal Term – select the number of months for optional renewal under the agreed term
  8. Data output category - one important consideration for a Data Contributor when evaluating your request is at what level your data will be aggregated. Will it be at the individual customer level, a customer segmentation by some common criteria that doesn't allow individuals to be identified, or at a market segmentation that contains only high level, non-specific data.
  9. Commercialisation and fees – the Commercials field is used to disclose the financial terms you have in place with any intended recipients of your analysis. How you intend to monetize your analysis of their data is a key component for many data contributors, and a failure to properly disclose your commercial interests in the contributor data would be a violation of the Data Republic Participation Agreement. You should also specify here if you intend to sublicense your analysis to your own end clients directly, or if you intend to publish a Data Product on the Data Republic marketplace.
  10. Request sublicensing, if applicable
  11. Special Conditions - these conditions will usually not be pertinent to the Data Contributors, but instead will be actioned by Data Republic when we are provisioning your DSW. Please put any applicable special requirements in here including:
    1. Date ranges for the data
    2. IP address you will be accessing the Data Science Workspace (DSW) from
    3. Any external IPs you will need access to (and the reason you'll need access)
    4. Specify your Tool Requirements such as: (SQL Server, Excel, R Studio, etc…) Note: Data Republic will not provide licenses for these products
  12. Acknowledge the authority confirmation checkbox and submit the form
 
Once you have completed your DRF, you’ll be able to find your request on your Projects page. After it has initially been filed, your request will be moved into the PENDING stage.
 
Projects can be in one of four stages:
  • PENDING - these are Projects where your DRF is still being reviewed by the data contributor, who must review your request within 5 days. Once they have reviewed your DRF, your project will move in to one of the other states.
  • MORE_INFO_REQUESTED - when a data contributor needs more information from you in order to approve your request, your project will be moved into this state and you will be alerted via email with details on what information that would like you to include or append in your DRF.
  • APPROVED - once a data contributor has approved your DRF, your project will be moved into the APPROVED state. Within the project, you can click on the Workspace tab to add a CIDR block and create your workspace.
  • REJECTED - if the data contributor needs to reject your DRF for any reason, your project will be moved to the REJECTED state and you'll be notified via email as to the rejection reasons.
 
 
A note on the Commercials section of the DRF:
 
Due to the amount of variables in a secure data exchange project - type of data, velocity of data, time period and coverage of data, as well as the proposed application of the exchange insights - Data Republic does not have a fixed pricing model.
 
Where possible, we work with our Data Contributors and Partners to define and set fixed price parameters on specific applications (example ‘Measuring Market Share’ for retail outlet). Projects with Data Republic generally commence from around $10,000 Australian dollars.
 
When you are completing your Data Request Form, you will be asked to disclose the financial terms you have in place with any intended recipients of your analysis. How you intend to monetize your analysis of their data in conjunction with how much you are offering to pay for the data itself are key considerations for many data contributors, and a failure to properly disclose your commercial interests in the contributor data would be a violation of the Data Republic Participation Agreement.
 
If you are building an analysis using a matched dataset, in order to properly assess what the data you're requesting is worth, you should consider the following aspects of your project:
  • The industry of the end recipient of your analysis. The amount of value that different industries will associate with the same dataset varies based on the financial return each industry can expect from your insights. For example, if your insights delivery a list of suburb residents likely to move within the next 3 months, that list would be much more valuable to a mortgage broker than it would be to a moving company.
  • The end use for your insights. As with different industries, different uses of your insights will imply different values for the underlying datasets. If your insights are used to help a shopping center prioritize their promotional displays based on their customers potential for travel, that would have a much lower return on investment for them than the same shopping center using your insights to directly promote the travel insurance sold by one of their retailers via email or phone campaigns.
While there isn't an industry standard price for an individuals data, many public company valuations would set $8 per individual as a benchmark that you could use in your evaluation.
Have more questions? Submit a request

0 Comments

Please sign in to leave a comment.
Powered by Zendesk