Data Management for Intellectual Property Rights

A.Y. 2019/2020
Lesson for
9
Max ECTS
60
Overall hours
SSD
SECS-P/10
Language
English
Learning objectives
During the module all learning outcomes below will be introduced, developed and assessed.

Knowledge and Understanding
Having successfully completed this module you will be able to demonstrate knowledge and understanding of:
1. The key and advanced dimensions of data management for intellectual property rights - Retrieval, Cleaning, Analysis, Choice and Implementation;
2. Diagnostic, practical and creative skills to analyse and evaluate a range of business solutions in relation to intellectual property rights;
3. Organisations' ability to implement chosen strategies and identify the areas requiring change.

Subject Specific Intellectual (Cognitive) skills
Having successfully completed this module you will be able to:
4. Develop skills in generating alternative solutions to complex issues surrounding intellectual property rights management at the business level, underpinning each with a supportive and well researched rationale in order to achieve critical success;
5. Evaluate these solutions, analysing the impact of potential outcomes on the various stakeholder groups;
6. Analyse alternative strategies for intellectual property development in differing operating contexts;
7. Assess the importance of data quality and design of indicators to effective intellectual property management;

Transferable (Key general) skills
Having successfully completed this module you will be able to:
8. Obtain, analyse and apply information from a variety of sources in the public and private domains;
9. Master new hard skills in relation to specialised software for the retrieval and analysis of intellectual property data;
10. Work collectively as an effective and efficient group member, including, where appropriate, organising, guiding and motivating others;
11. Plan and enact the successful completion of a personal workload;
12. Communicate both orally and in written form, using and justifying arguments within reports, presentations and debates.

Course structure and Syllabus

Active edition
Yes
Responsible
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT - University credits: 9
Lessons: 60 hours
ATTENDING STUDENTS
Syllabus
Students can find below a tentative period-by-period schedule for the course module containing the core topics covered. The final schedule will be made available on the final module handbook in Ariel (University of Milan online learning management system) few weeks before the start of lectures.

Part one (weeks 1-3): Foundations of data management for intellectual property rights
This first three weeks will involve an introduction to the module. The delivery of lectures, reading and learning requirements and assessment details will be initially explained. The module will then provide an introduction to patent data (what information is available in a patent document and how this information is useful to companies?). We will also review the main data sources available for the retrieval of patent data information. The module will then provide students with: i) a basic introduction to different types of databases (in relation to intellectual property rights), ii) elements of SQL programming language in order to successfully retrieve information from PATSTAT; iii) basics of statistical software program to analyse patent data.

Part two (weeks 4-6): Value capture via intellectual property
Here the module will focus on understanding how firms capture value from innovation via intellectual property rights. We will explore the factors which determine the value for society captured by a group of firms, particularly in industries where value is tightly linked to intellectual property. This part explores the trade-offs inherent in the use of patents, complementary assets, standards and lead time to capture value from innovations. We will do so by combining and analysing information from two main datasets which are major sources of firm-level information on intellectual property rights: PATSTAT and ORBIS IP.

Part Three (weeks 7-10): IPR strategy development, wrap-up and presentations
The third part examines how firms develop IPR strategies and put the knowledge acquired into action, particularly how information from patent data and indicators can be used to develop business-level strategies which improve a firm competitive advantage. We will put this into practice by analysing real case scenarios. Depending on availability, we will respond to a business challenge proposed by a real company. In the last weeks we will also provide a summary of the core topics covered during the module as well information on the final examination. The students will have the opportunity to present their coursework and will be provided feedback to improve their final submission.
NON-ATTENDING STUDENTS
Syllabus
Non-attending students are expected to cover the topics contained in the final schedule which will be made available in the module handbook in Ariel (University of Milan online learning management system) few weeks before the start of lectures. As non-attending students cannot benefit from the time in class, they are expected to deepen their understanding of the topics by relying on the non-compulsory material (in addition to the compulsory material). Please find below a tentative schedule covering the main topics for non-attending students.

Part one (weeks 1-3): Foundations of data management for intellectual property rights
This first three weeks will involve an introduction to the module. The delivery of lectures, reading and learning requirements and assessment details will be initially explained. The module will then provide an introduction to patent data (what information is available in a patent document and how this information is useful to companies?). We will also review the main data sources available for the retrieval of patent data information. The module will then provide students with: i) a basic introduction to different types of databases (in relation to intellectual property rights), ii) elements of SQL programming language in order to successfully retrieve information from PATSTAT; iii) basics of statistical software program to analyse patent data.

Part two (weeks 4-6): Value capture via intellectual property
Here the module will focus on understanding how firms capture value from innovation via intellectual property rights. We will explore the factors which determine the value for society captured by a group of firms, particularly in industries where value is tightly linked to intellectual property. This part explores the trade-offs inherent in the use of patents, complementary assets, standards and lead time to capture value from innovations. We will do so by combining and analysing information from two main datasets which are major sources of firm-level information on intellectual property rights: PATSTAT and ORBIS IP.

Part Three (weeks 7-10): IPR strategy development, wrap-up and presentations
The third part examines how firms develop IPR strategies and put the knowledge acquired into action, particularly how information from patent data and indicators can be used to develop business-level strategies which improve a firm competitive advantage. We will put this into practice by analysing real case scenarios. Depending on availability, we will respond to a business challenge proposed by a real company. In the last weeks we will also provide a summary of the core topics covered during the module as well information on the final examination. The students will have the opportunity to present their coursework and will be provided feedback to improve their final submission.
Lesson period
Second trimester
Lesson period
Second trimester
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi
Professor(s)
Reception:
Find a free slot that fits your schedule at the link below and book it
DEMM Office 17