How will Data Researchers benefit from Dispute Resolution Data?
Data Researchers will benefit from Dispute Resolution Data in multiple different ways including,
- Drafting pre-dispute clauses
- Advising clients
- Estimating cost budgets
- Developing case strategies
- Insight into how and when given case types typically conclude
Confidentiality - How is it protected?
DRD will not request or publish any information from institutions regarding parties' identity, the names of the case, the advocates, the arbitrators or mediators, nor associate institutions’ names with their data.
In order to preserve confidentiality, only non-confidential data will be redacted, aggregated and presented by geographic region, and by case type. No case data will ever be presented by itself (alone) from any contributor organization. ONLY aggregated case data from multiple organizations will be presented by DRD.
For more information on how DRD protects the data, please reference our Data Protocol.
What is the Dispute Resolution Data Protocol?
The data protocol is a public statement about DRD's commitment to confidentiality and security of information.
The data which is sent to DRD is maintained on secured servers using the best industry standards for authentication and encryption. In order to maintain the anonymity of individual case data in our database, we use standard statistical disclosure control methods. These techniques were developed first for the U.S. Census Bureau to ensure that individual respondents could not be identified in the publicly released data. These methods involve systematically obfuscating the individual data records, so that a particular case is not identifiable, but aggregate statistical results using the modified data are consistent with the original data and, therefore, produce valid statistical inferences.
For more information on DRD's Data Protocol, click here.
How do I access DRD?
To access DRD, go to our website at disputeresolutiondata.com. You’ll be able to access macro data on arbitration and mediation services.
To access micro data focused on time, costs, case processing from beginning to end, and risk management issues, you will need to purchase a subscription and log into the application. You can log into the Dispute Resolution Data application by clicking “Sign in” at the top right on the marketing site. From there you will enter your email address and password to access your dashboard and the dispute resolution data.
What are Case Types?
DRD data explores 29 different international, commercial arbitration and mediation case types. These were developed by working with exceptional institutional leaders and gaining valuable advice from practitioners, scholars, arbitrators, mediators and many others including our own DRD team. Each case is categorized into a case type, and where applicable, a sub-type.
For more information about the DRD case types, click here.
What browsers does DRD support?
The Dispute Resolution Data application supports the following browser versions:
- Chrome 39+
- Firefox 33+
- Safari 8+
- Internet Explorer 10+
If you are experiencing problems, please check that you have the latest version of your browser.
How does DRD define case conclusions?
- Awarded – cases concluded by (i) a monetary Award to one or more parties; (ii) a non-monetary Award to one or more parties (including declaratory, specific performance, injunctive); or (iii) a combined monetary and non-monetary Award.
- Settled / Withdrawn – the dispute resolved by agreement of the parties, with or without the assistance of the arbitrator, resulting in a settlement agreement (which may or may not be recorded in a Consent Award) or the withdrawal of a claim or counterclaim.
- Administrative Close – the termination of an arbitration by the institution for non-compliance with directions for payment.
- Dismissed – the dismissal of a claim by an Award or Order of the tribunal without a final hearing on the merits, for (i) lack of jurisdiction; (ii) lack of legal merit; or (iii) failure to pursue a claim.
How does DRD use quartiles in award data?
The four quartiles (Q1, Q2, Q3, and Q4) correspond to the 25th percentile, 50th percentile (also known as the median), the 75th percentile, and the 100th percentile respectively. Each of the four groupings, or "bins", defined by these quartile values includes about 25% of the values represented in the dataset. The bottom 25% of values lie below Q1, the next 25% lie between Q1 and Q2, the next 25% lie between Q2 and Q3, and the highest 25% of values between Q3 and Q4.
Grouping the data into these four bins helps to provide a measure of variability (or dispersion) of the data.