Open Data & Public Libraries

28
Open Data & Public Libraries Pam Ryan & Alex Carruthers 05/13/2022 Netspeed October 16, 2014

Transcript of Open Data & Public Libraries

Page 1: Open Data & Public Libraries

04/14/2023

Open Data & Public Libraries

Pam Ryan & Alex Carruthers

NetspeedOctober 16, 2014

Page 2: Open Data & Public Libraries

2

Overview

• What is open data? • Why does it matter for public

libraries? • Partnerships and programs• Case study

Page 3: Open Data & Public Libraries

3

What is open data?

Open data is the idea that certain data

should be freely available to everyone to

use and republish as they wish, without

restrictions from copyright, patents or

other mechanisms of control.

Wikipedia

Page 4: Open Data & Public Libraries

4

Why does open data matter for

public libraries?

• Values alignment• Openness, Sharing, and Transparency• Spreading the Words• Data Literacy• Advocacy• Things we haven’t thought of

Page 5: Open Data & Public Libraries

5

Page 6: Open Data & Public Libraries

6

EPL’s Statement on Open Data

Page 7: Open Data & Public Libraries

7

EPL

Page 8: Open Data & Public Libraries

8

Page 9: Open Data & Public Libraries

9

Ottawa Public Library

Page 10: Open Data & Public Libraries

10

Page 11: Open Data & Public Libraries

11

Page 12: Open Data & Public Libraries

Creative Use of Library Data

12

The Helsinki Metropolitan Library System Most Wanted Books

Ari Hamara

Data visualization installation at the Seattle Public Library

George Legrady

Page 13: Open Data & Public Libraries

13

Creative Use of Library Data

ShareEdmonton aggregates information about Edmonton from dozens of different sources all into one place, including EPL’s Events API

Page 14: Open Data & Public Libraries

14

Partnerships and Programming• Partners: local government or community

enthusiasts

• Programs: hackathons, data literacy training, competitions, celebrating international/national open data events

• EPL partnered with the City of Edmonton IT Department to host the International Open Data Day Hackathon and Information Session in February 2014

Page 15: Open Data & Public Libraries

Partnership with City of Edmonton

• Reached out in Nov 2013• Common goals: civic engagement, open

access to information, educating community members – including CoE employees

• Community outreach was an unofficial IT department goal

• We offered space, event promotion, food, CoE data catalogue promotion

• They offered local data experts and a wider promotional reach

15

Page 16: Open Data & Public Libraries

Black Content Slide

Also available

#ODD2014

194 EVENTS IN 47 COUNTRIES ● 9 EVENTS IN CANADA

Page 17: Open Data & Public Libraries

17

Page 18: Open Data & Public Libraries

18

Page 19: Open Data & Public Libraries

19

Page 20: Open Data & Public Libraries

20

Page 21: Open Data & Public Libraries

21

Page 22: Open Data & Public Libraries

22

Page 23: Open Data & Public Libraries

Data Literacy

23

Information Session

1. Understanding data.

1.1. What is data?Competency: learners need to know what is meant by data and be aware of the various possible types of data.

1.2. Data in society: a tool for knowledge and innovation.Competency: learners need to be aware of the role of data in society, how they are generated and by whom, and their possible applications, as well as the implications of their use.

2. Finding and/or obtaining data.2.1. Data sources.Competency: learners need to be aware of the possible data sources, be able to evaluate them and select the ones most relevant to an informational need or a given problem.

Calzada Prado, J & M. Á. Marzal. (2013). "Incorporating Data Literacy Into Information Literacy Programs: Core Competencies And Contents.“ p. 130-131

Page 24: Open Data & Public Libraries

Data Literacy

24

Open Data Day Hackathon

1.2. Data in society: a tool for knowledge and innovation.Competency: learners need to be aware of the role of data in society, how they are generated and by whom, and their possible applications, as well as the implications of their use.

3. Reading, interpreting and evaluating data.

3.1. Reading and interpreting data.Competency: learners need to be aware of the various forms in which data can be presented (written, numerical or graphic), and their respective conventions, and be able to interpret them.

3.2 Evaluating data.Competency: learners need to be able to evaluate data critically.

5. Using data.

5.1. Data handling.Competency: learners need to be able to prepare data for analysis, analyze them in keeping with the results sought and know how to use the necessary tools.

5.2. Producing elements for data synthesis.Competency: learners need to be able to synthesize and represent the results of data analysis in ways suited to the nature of the data, their purpose and the audience targeted in the inquiry.

Page 25: Open Data & Public Libraries

25

7%

33%

33%

27%

Which age group do you fall into?

17 or younger 18 - 30

31 - 45 45+

Yes33%

No67%

Have you ever at-tended a hackathon

before?

40%

33%

27%

How would you de-scribe your pro-

gramming skills?

Beginner Intermediate Advanced

Yes33%

No67%

Have you ever attended an event at EPL?

Yes93%

No7%

If we hosted another hackathon would you try to at-

tend?

Page 26: Open Data & Public Libraries

26

40%

27%

33%

0% 0% 0%

Are you going to continue to develop the project you started at the

hackathon?

80%Of respondents said the library should share more library data

Page 27: Open Data & Public Libraries

• Participants requested opportunities to share without having to stand in front of the group and activities for people with varying skill levels

• Many organizations have come up with open knowledge-based activities.

• Code Across challenge to create an open data census http://hackforchange.org/challenges/

• National Day of Civic Hacking Open Street Map Edit-a-Thon at the Cleveland Public Library

• Ties together open data and building tools to improve civic life• Library can host event, provide data and propose a challenge or

work with the community to identify challenges that could be solved through use of open data

• Participant feedback yielded a list of library data requests

Future Improvements

27

Page 28: Open Data & Public Libraries

28

Questions