Open Data in Ubiquitous Systems Research – Data Management Plan

Heli Väätäjä (heli.vaataja@gmail.com) http://opendatainubiresearch.blogspot.fi/

Tampere University of Technology, Finland UBINET Seminar for doctoral students in

HCI and CS, 18.5 & 12.6, 2015 Seminar day 1,18.5.2015 SB204

DATA MANAGEMENT PLAN

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Why a DMP?

Find & understand own data

Continuity of research &

projects

Avoid unnecessary duplication

Data underlying

publications maintained (validation)

More collaboration

with other researchers, advancing research

More visibility, greater impact

More credit, when data can

be cited

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Who may require a DMP – or be interested in your data?

Research funders

Ethics committee

Thesis supervisor

Your colleagues

Publishers Referees of

your publications

Project manager or consortium

Pre-examiners of your thesis

Opponent of your thesis

Other researchers Companies? Citizens?

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What is covered in a DMP? • Data collection & Documentation: Data Types, Formats,

Standards and Capture Methods • Ethics and Intellectual Property • Data Access, Sharing & Reuse • Data storage and backup: Short-Term Storage & Data

Management • Data Preservation and Archiving: Deposit & Long-Term

Preservation • Resourcing • See more at:

– http://datacentrum.3tu.nl/en/planning-research/data-management-plan/ – http://www.dcc.ac.uk/resources/how-guides

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Types of Data Licensing

• Attribution - the licensor must be given due credit for the work when distributed, displayed, performed, or used to derive a new work.

• Copyleft - any new works derived from the licensed one must be released under the same license.

• Non-commercial – no exploiting of the work commercially – See more at: http://www.dcc.ac.uk/resources/how-

guides/license-research-data

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Information (metadata) needed to accompany open data • how the data have been encoded (database structures, file formats); • a list of software known to work with the data and their supporting

information; • indications of how the data relate to other data assets; • administrative information (identifiers, checksums); • explanations of what the data represent (e.g. for sensor data, what

the sensor was measuring and in what units); • the processing history of the data (how generated and transformed,

when and by whom); • a narrative describing the context (why the data were

generated/collected), • what methodology was used and why. • See at: http://www.dcc.ac.uk/resources/how-guides/license-

research-data

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Support for creating a data management plan • https://dmponline.dcc.ac.uk/ - helps create a

data management plan online, provides template, possibility to export

• In this seminar we will use the template provided by 3TU.Datacentrum: – http://datacentrum.3tu.nl/en/planning-

research/data-management-plan/

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ORCID and DOI

• ORCID (Open Researcher and Contributor ID): https://orcid.org/content/initiative

• Register for an ORCID ID : https://orcid.org/register

• DOI: Digital Object Identifier • Open Data Certificates:

https://certificates.theodi.org/

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Home assignment • Create a data management plan for your

thesis research / one study or case / project – Use all the resources you have available and

ask for help from your university library / research data officers / research office

• Report your experiences in a structured learning diary, template will be provided.

• Presentations on learning diary: lessons learned, challenges, how you solved them, open questions.

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Deadlines

• Home assignment returned by June 4th (via Moodle).

• Learning diary returned by June 10th. • Presentation in the second seminar day June

12th.

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