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«Διασυνδεδεμένα Δεδομένα και σε Βιβλιοθήκες» OpenAccessWeek 2017

marilia mavrikiou - October 30, 2017 in Data Journalism, Εκδηλώσεις, Νέα

  Με επιτυχία πραγματοποιήθηκε η ημερίδα «Ανοικτή πρόσβαση για …» που διοργάνωσε η Βιβλιοθήκη & Κέντρο Πληροφόρησης του Αριστοτελείου Πανεπιστημίου Θεσσαλονίκης στα πλαίσια του OpenAccessWeek,την Τρίτη 24 Οκτωβρίου, στο αμφιθέατρο της Κεντρικής Βιβλιοθήκης. Τα θέματα που κέντρισαν το ενδιαφέρον, αφορούσαν την χρησιμότητα των ανοικτών αλλά και διασυνδεδεμένων δεδομένων με στόχο την ίση και ολοκληρωμένη πρόσβαση […]

Μνημόνιο συνεργασίας ανάμεσα στο Ίδρυμα Ανοικτής Γνώσης Ελλάδας και το Εργαστήριο Εφαρμογών Πληροφορικής στα ΜΜΕ

Χριστίνα Καρυπίδου - October 15, 2017 in Data Journalism, Featured, Featured @en, News, Δημοσιογραφία Δεδομένων, μνημόνιο συνεργασίας, Νέα

Μνημόνιο συνεργασίας υπέγραψαν οι κ.κ. Δρ. Χαράλαμπος Μπράτσας, Πρόεδρος του Ιδρύματος Ανοικτής Γνώσης Ελλάδας  (Open Knowledge Greece – OK Greece),  και Ανδρέας Βέγλης, Διευθυντής του Εργαστηρίου Εφαρμογών Πληροφορικής στα ΜΜΕ (Media Informatics Lab – M.I.L.), Καθηγητής και Πρόεδρος του Τμήματος Δημοσιογραφίας και ΜΜΕ του Αριστοτέλειου Πανεπιστήμιου Θεσσαλονίκης,  την Παρασκευή 13 Οκτωβρίου 2017. Η υπογραφή του […]

Γεφυρώνοντας το χάσμα μεταξύ δημοσιογραφίας και ανάλυσης δεδομένων

Kosmas Panagiotidis - October 8, 2017 in Data Journalism, Featured, Featured @en, News, Νέα

του Chikezie Omeje. Αυτό το άρθρο γράφτηκε από τους Chikezie Omeje,  Kunle Adelowo και Vershima Tingir ως μέρος του προγράμματος υποτροφιών Open Data for Development (OD4D). Το εν λόγω πρόγραμμα που ξεκίνησε πρόσφατα, σχεδιάστηκε με στόχο να οικοδομήσει την οργανωτική ικανότητα των οργανώσεων την κοινωνίας των πολιτών να χρησιμοποιούν αποτελεσματικά τα δεδομένα: αυξάνοντας το επίπεδο […]

Bridging the gap between journalism and data analysis

Chikezie Omeje - October 5, 2017 in Data Journalism, OD4D

This blogpost was written by Chikezie Omeje,  Kunle Adelowo and Vershima Tingir as part of the Open Data for Development (OD4D) embedded fellowship programme. This recently initiated programme is designed to build the organisational capacity of civil society organisations to use data effectively by raising the level of data literacy of the staff of the partner organisation(s), supporting the organisation(s) to deliver a specific data project, and developing an initial data strategy for the organisation’s future engagement. Chikezie Omeje is a journalist at the International Centre for Investigative Reporting (ICIR), Kunle Adelowo and Vershima Tingir are developers at the Public and Private Development Centre (PPDC). They are all based in Abuja. OD4D is a global network of leaders in the open data community, of which Open Knowledge International forms part, working together to develop open data solutions around the world. For this fellowship the Public and Private Development Centre (PPDC) will develop the International Centre for Investigative Reporting (ICIR) capacity to investigate and report on open contracting related stories. 

The threat to traditional journalism

Older journalists will agree that journalism is no longer what it used to be. It is rapidly changing. Within the past decade, the profession has been disrupted to the extent that the question of who is a journalist is now difficult to answer. Technology has democratised journalism in a way that is now within the reach of anyone who is interested. The rise of social media and digital publishing platforms have made it easier for those who were formally referred to as audience to become news producers.  Members of the audience who are interested in journalism can now do the work of a journalist comfortably. The traditional line between journalists and audience has been blurred. Anyone who has the digital tools can produce and publish news without the help of a journalist. This disruption in the media industry presents both a threat and an opportunity for journalists. This threat can be seen in the declining  revenue of legacy media organisations  which means traditional journalists now stand to lose their jobs. The old business model of journalism is no longer sustainable and journalists are facing fierce competition from a multitude of individual, online publishers. The implication is that being just a journalist who covers and writes news stories is no longer enough. Anybody who is willing and able can do that now. To survive the existential threat facing traditional journalism, journalists need to build new skills that were not even taught in journalism schools a decade ago. The emergence of  buzz words such as “tech-savvy journalist” and  “data journalist”  in the newsroom is evidence of this shift. To practice journalism, every journalist needs to have digital skills that are imperative for 21st century journalism. As ordinary citizens are increasingly able to perform the work of journalism, a professional journalist  needs to take  further steps to acquire the necessary skills beyond the old concept of journalism.  Therefore, a journalist must have both the reporting and technical skills. Among the skills that a journalist should have is the ability to process, analyse and visualise data. Despite the increasing amount of information that is now available to the citizens, people are still not adequately informed on critical issues bordering on data. This is why data journalism is receiving attention around the world. Data analysis and visualisation are useful skills for today’s journalist. A lot of critical information is buried in data and a journalist must now have the skills (or access to the skills)  to harness and report the data. When journalists have data skills, it will facilitate timely production of high value and impactful information. But many journalists have been complaining on why they should acquire these technical skills. They often complain that the new skills being demanded of them are too technical and complicated.  For example, some journalists usually want to know why should they learn certain aspect of computer programming, arguing that it is so difficult.  The truth is that there are a growing number of digital tools that have made these essential skills easy to acquire which reduces the initial technical barrier for most journalists. To become proficient in data journalism, there are three essential technical skills we think journalists would need.

Data Gathering, Conversion and Extraction Techniques

Reporters often get information from different sources. Information may be presented in different formats, some of which may not be directly usable until they are converted to another format. File formats like PDFs, HTML, hard copy documents makes it hard to gather data in a structured and reusable way. Therefore data presented in these formats have to be converted to more flexible, structured and reusable formats such as Excel, Word, and CSV. There are tools that make conversion easier and they require minimal technical capabilities to use. Some of these tools include Tabula for extracting tables from PDF to CSV, online optical character recognition (OCR) which is a handy tool for converting tables in scanned document to csv, small PDF etc.

Screenshot of Tabula interface

Screenshot of Online OCR web application

 Data cleaning tools

After gathering, conversion and extraction you would have all the data you want and more at your fingertips. Most times, the data you are looking for often come in large datasets and the data that you need might be a small portion of it.  Essentially, another set of skills that you will need to get exactly what  you are looking for will be how  to use data cleaning tools. Data cleaning is the process of correcting wrong fields by removing  or adding, rearranging a dataset. For this purpose, the go-to tool is Microsoft Excel. It is very powerful and can be used for simple tasks like sorting, filtering, simple maths and text functions, pivot tables and data validation.

Sort and filter buttons on Microsoft Excel

Visualisation tools

So now you have your data and it makes sense to you, but your job as a journalist is to gather this information and present to your audience. Among your audience you have people who like numbers: they like to see the exact digits in its rawest form while others are suckers for aesthetics. They want to see colors and animations that tell stories. For the latter, the solution would be visualisations and as you would guess, data visualisation would be to transform and present datasets in form of graphical representation. A typical example of this would be creating a bar chart out of the annual salary received by each employee of an organization. Simple tools that can be used to create data visualization include Microsoft Excel, Google charts. To be a tech-savvy journalist, you need to step out of your comfort zone to acquire these essential skills. Journalism is changing rapidly and nobody has complete idea how journalism will be practiced in the next decade. This change  will not slow down as long as there are emerging technologies.The internet has made basic information readily and easily available, anybody with a computer and internet access can start a blog become a journalist. This has lowered the value of basic everyday information.Therefore journalist have to go the extra mile in using technology to do more factual reporting. Journalism is at the mercy of technology and those who cannot master these new technical tools can not report on more meaningful, factual and high value information. The worst thing that can happen to a journalist is to be outdated or irrelevant in the new demands of the profession.

To ΟΚ Greece στο International Journalism Summer School

Spyridoula Markou - August 28, 2017 in Data Journalism, Featured, Featured @en, Εκδηλώσεις

Στο θερινό σχολείο International Journalism and media organizations in a turbulent age: European and Asian perspectives που έλαβε χώρα στη Θεσσαλονίκη από τις 16-23 Ιουλίου 2017 έλαβε μέρος το OK Greece.Στα πλαίσια των διαλέξεων του summer school η ομάδα μας πραγματοποίησε ένα workshop με θέμα την δημοσιογραφία δεδομένων και την ανάγκη της κατανόησης από όσους εργάζονται […]

Tο OK Greece αρωγός στο project “Frictionless Data”

Spyridoula Markou - July 22, 2017 in Data Journalism, Featured, Featured @en, Εφαρμογές, Νέα

Το άρθρο που ακολουθεί αποτελεί μεταφρασμένη αναδημοσίευση της συνέντευξης που δόθηκε από το OK Greece στο http://frictionlessdata.io. Το Ίδρυμα Ανοικτής Γνώσης Ελλάδας, το επίσημο Παράρτημα του Open Knowledge International, ιδρύθηκε το 2012 από μία ομάδα ακαδημαϊκών, προγραμματιστών, πολιτών, χάκερ και εκπροσώπων του δημοσίου. Υποστηριζόμαστε από ένα εθνικό δίκτυο εθελοντών, οι περισσότεροι από τους οποίους είναι […]

Data is a Team Sport: One on One with Daniela Lepiz

Dirk Slater - July 3, 2017 in community, Data Blog, Data Journalism, data literacy, Event report, Fabriders, Nigeria, research, Team Sport, West Africa

Data is a Team Sport is our open-research project exploring the data literacy eco-system and how it is evolving in the wake of post-fact, fake news and data-driven confusion.  We are producing a series of videos, blog posts and podcasts based on a series of online conversations we are having with data literacy practitioners. To subscribe to the podcast series, cut and paste the following link into your podcast manager : http://feeds.soundcloud.com/users/soundcloud:users:311573348/sounds.rss or find us in the iTunes Store and Stitcher. This episode features a one on one episode with Daniela Lepiz, a Costa Rican data journalist and trainer, who is currently the Investigation Editor for CENOZO, a West African Investigative Journalism Project that aims to promote and support cross border data investigation and open data in the region. She has a masters degree in data journalism from the Rey Juan Carlos University in Madrid, Spain. Previously involved with OpenUP South Africa working with journalists to produce data driven stories.  Daniela is also a trainer for the Tanzania Media Foundation and has been involved in many other projects with South African Media, La Nacion in Costa Rica and other international organisations.

Notes from the conversation

Daniela spoke to us from Burkina Faso and reflected on the role of journalism and particularly data-driven journalism in functioning democracies.  The project she is working on empowering journalists working cross-border in western Africa to utilise data to expose corruption and violation of human rights.  To identify journalists to participate in the project, they have looked for individuals who are experienced, passionate and curious. The project engages existing media houses, such as Premium Times in Nigeria, to assure that there are places for their stories to appear. Important points Daniela raises:
  • Media is continually evolving and learning to evolve and Daniela can see that data literacy will be a required proficiency in the next five years.
  • The biggest barrier to achieving open-data in government are government officials who resist transparency
  • There is a real fear from journalists of having to be proficient in maths when they are considering improve their skills to produce data-driven stories.  They often fail to realise that its about working with others that have skills on statistics and data analysis.
  • Trust in media has declined in such a big way and it means journalists have to work that much harder, particularly in labelling things as opinion or being biased.

Resources she finds inspiring

Her blogs posts

The full online conversation:

Daniela’s bookmarks!

These are the resources she uses the most often. .Rddj – Resources for doing data journalism with RComparing Columns in Google Refine | OUseful.Info, the blog…Journalist datastores: where can you find them? A list. | Simon RogersAidInfoPlus – Mastering Aid Information for Change

Data skills

Mapping tip: how to convert and filter KML into a list with Open Refine | Online Journalism Blog
Mapbox + Weather Data
Encryption, Journalism and Free Expression | The Mozilla Blog
Data cleaning with Regular Expressions (NICAR) – Google Docs
NICAR 2016 Links and Tips – Google Docs
Teaching Data Journalism: A Survey & Model Curricula | Global Investigative Journalism Network
Data bulletproofing tips for NICAR 2016 – Google Docs
Using the command line tabula extractor tool · tabulapdf/tabula-extractor Wiki · GitHub
Talend Downloads

Github

Git Concepts – SmartGit (Latest/Preview) – Confluence
GitHub For Beginners: Don’t Get Scared, Get Started – ReadWrite
Kartograph.org
LittleSis – Profiling the powers that be

Tableau customized polygons

How can I create a filled map with custom polygons in Tableau given point data? – Stack Overflow
Using Shape Files for Boundaries in Tableau | The Last Data Bender
How to make custom Tableau maps
How to map geographies in Tableau that are not built in to the product (e.g. UK postcodes, sales areas) – Dabbling with Data
Alteryx Analytics Gallery | Public Gallery
TableauShapeMaker – Adding custom shapes to Tableau maps | Vishful thinking…
Creating Tableau Polygons from ArcGIS Shapefiles | Tableau Software
Creating Polygon-Shaded Maps | Tableau Software
Tool to Convert ArcGIS Shapefiles into Tableau Polygons | Tableau and Behold!
Polygon Maps | Tableau Software
Modeling April 2016
5 Tips for Making Your Tableau Public Viz Go Viral | Tableau Public
Google News Lab
HTML and CSS
Open Semantic Search: Your own search engine for documents, images, tables, files, intranet & news
Spatial Data Download | DIVA-GIS
Linkurious – Linkurious – Understand the connections in your data
Apache Solr –
Apache Tika – Apache Tika
Neo4j Graph Database: Unlock the Value of Data Relationships
SQL: Table Transformation | Codecademy
dc.js – Dimensional Charting Javascript Library
The People and the Technology Behind the Panama Papers | Global Investigative Journalism Network
How to convert XLS file to CSV in Command Line [Linux]
Intro to SQL (IRE 2016) · GitHub
Malik Singleton – SELECT needle FROM haystack;
Investigative Reporters and Editors | Tipsheets and links
Investigative Reporters and Editors | Tipsheets and Links

SQL_PYTHON

More data

2016-NICAR-Adv-SQL/SQL_queries.md at master · taggartk/2016-NICAR-Adv-SQL · GitHub
advanced-sql-nicar15/stats-functions.sql at master · anthonydb/advanced-sql-nicar15 · GitHub
2016-NICAR-Adv-SQL/SQL_queries.md at master · taggartk/2016-NICAR-Adv-SQL · GitHub
Malik Singleton – SELECT needle FROM haystack;
Statistical functions in MySQL • Code is poetry
Data Analysis Using SQL and Excel – Gordon S. Linoff – Google Books
Using PROC SQL to Find Uncommon Observations Between 2 Data Sets in SAS | The Chemical Statistician
mysql – Query to compare two subsets of data from the same table? – Database Administrators Stack Exchange
sql – How to add “weights” to a MySQL table and select random values according to these? – Stack Overflow
sql – Fast mysql random weighted choice on big database – Stack Overflow
php – MySQL: Select Random Entry, but Weight Towards Certain Entries – Stack Overflow
MySQL Moving average
Calculating descriptive statistics in MySQL | codediesel
Problem-Solving using Graph Traversals: Searching, Scoring, Ranking, …
R, MySQL, LM and quantreg
26318_AllText_Print.pdf
ddi-documentation-english-572 (1).pdf
Categorical Data — pandas 0.18.1+143.g3b75e03.dirty documentation
python – Loading STATA file: Categorial values must be unique – Stack Overflow
Using the CSV module in Python
14.1. csv — CSV File Reading and Writing — Python 3.5.2rc1 documentation
csvsql — csvkit 0.9.1 documentation
weight samples with python – Google Search
python – Weighted choice short and simple – Stack Overflow
7.1. string — Common string operations — Python v2.6.9 documentation
Introduction to Data Analysis with Python | Lynda.com
A Complete Tutorial to Learn Data Science with Python from Scratch
GitHub – fonnesbeck/statistical-analysis-python-tutorial: Statistical Data Analysis in Python
Verifying the email – Email Checker
A little tour of aleph, a data search tool for reporters – pudo.org (Friedrich Lindenberg)
Welcome – Investigative Dashboard Search
Investigative Dashboard
Working with CSVs on the Command Line
FiveThirtyEight’s data journalism workflow with R | useR! 2016 international R User conference | Channel 9
Six issue when installing package · Issue #3165 · pypa/pip · GitHub
python – Installing pip on Mac OS X – Stack Overflow
Source – Journalism Code, Context & Community – A project by Knight-Mozilla OpenNews
Introducing Kaggle’s Open Data Platform
NASA just made all the scientific research it funds available for free – ScienceAlert
District council code list | Statistics South Africa
How-to: Index Scanned PDFs at Scale Using Fewer Than 50 Lines of Code – Cloudera Engineering Blog
GitHub – gavinr/geojson-csv-join: A script to take a GeoJSON file, and JOIN data onto that file from a CSV file.
7 command-line tools for data science
Python Basics: Lists, Dictionaries, & Booleans
Jupyter Notebook Viewer

PYTHON FOR JOURNALISTS

New folder

Reshaping and Pivot Tables — pandas 0.18.1 documentation
Reshaping in Pandas – Pivot, Pivot-Table, Stack and Unstack explained with Pictures – Nikolay Grozev
Pandas Pivot-Table Example – YouTube
pandas.pivot_table — pandas 0.18.1 documentation
Pandas Pivot Table Explained – Practical Business Python
Pivot Tables In Pandas – Python
Pandas .groupby(), Lambda Functions, & Pivot Tables
Counting Values & Basic Plotting in Python
Creating Pandas DataFrames & Selecting Data
Filtering Data in Python with Boolean Indexes
Deriving New Columns & Defining Python Functions
Python Histograms, Box Plots, & Distributions
Resources for Further Learning
Python Methods, Functions, & Libraries
Python Basics: Lists, Dictionaries, & Booleans
Real-world Python for data-crunching journalists | TrendCT
Cookbook — agate 1.4.0 documentation
3. Power tools — csvkit 0.9.1 documentation
Tutorial — csvkit 0.9.1 documentation
4. Going elsewhere with your data — csvkit 0.9.1 documentation
2. Examining the data — csvkit 0.9.1 documentation
A Complete Tutorial to Learn Data Science with Python from Scratch
For Journalism
ProPublica Summer Data Institute
Percentage of vote change | CARTO
Data Science | Coursera
Data journalism training materials
Pythex: a Python regular expression editor
A secure whistleblowing platform for African media | afriLEAKS
PDFUnlock! – Unlock secured PDF files online for free.
The digital journalist’s toolbox: mapping | IJNet
Bulletproof Data Journalism – Course – LEARNO
Transpose columns across rows (grefine 2.5) ~ RefinePro Knowledge Base for OpenRefine
Installing NLTK — NLTK 3.0 documentation
1. Language Processing and Python
Visualize any Text as a Network – Textexture
10 tools that can help data journalists do better work, be more efficient – Poynter
Workshop Attendance
Clustering In Depth · OpenRefine/OpenRefine Wiki · GitHub
Regression analysis using Python
DataBasic.io
DataBasic.io
R for Every Survey Analysis – YouTube
Git – Book
NICAR17 Slides, Links & Tutorials #NICAR17 // Ricochet by Chrys Wu
Register for Anonymous VPN Services | PIA Services
The Bureau of Investigative Journalism
dtSearch – Text Retrieval / Full Text Search Engine
Investigation, Cybersecurity, Information Governance and eDiscovery Software | Nuix
How we built the Offshore Leaks Database | International Consortium of Investigative Journalists
Liz Telecom/Azimmo – Google Search
First Python Notebook — First Python Notebook 1.0 documentation
GitHub – JasonKessler/scattertext: Beautiful visualizations of how language differs among document types
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Data is a Team Sport: Data-Driven Journalism

Dirk Slater - June 20, 2017 in Anti-corruption, community, Data Blog, data driven journalism, Data Journalism, data literacy, Event report, Fabriders, Gender Data, research, Rights

Our podcast series that explores the ever evolving data literacy eco-system. Cut and paste this link into your podcast app to subscribe: http://feeds.soundcloud.com/users/soundcloud:users:311573348/sounds.rss or find us in the iTunes Store and Stitcher. In this episode we speak with two veteran data literacy practitioners who have been involved with developing data-driven journalism teams. Our guests:
  • Eva Constantaras is a data journalist specialized in building data journalism teams in developing countries. These teams that have reported from across Latin America, Asia and East Africa on topics ranging from displacement and kidnapping by organized crime networks to extractive industries and public health. As a Google Data Journalism Scholar and a Fulbright Fellow, she developed a course for investigative and data journalism in high-risk environments.
  • Natalia Mazotte is Program Manager of School of Data in Brazil and founder and co-director of the digital magazine Gender and Number. She has a Master Degree in Communications and Culture from the Federal University of Rio de Janeiro and a specialization in Digital Strategy from Pompeu Fabra University (Barcelona/Spain). Natalia has been teaching data skills in different universities and newsrooms around Brazil. She also works as instructor in online courses in the Knight Center for Journalism in the Americas, a project from Texas University, and writes for international publications such as SGI News, Bertelsmann-Stiftung, Euroactiv and Nieman Lab.

Notes from this episode

They both describe the lessons learned in getting journalists to use data that can drive social change. For Eva, getting journalists to work harder and just reporting that corruption exists is not enough, while Natalia, talks about how they use data on gender to drive debate and discussion around equality. What is critical for democracy is the existence of good journalism and this includes data-driven journalism that uncovers facts and gets at the root causes.

Gaps in the Data Literacy EcoSystem:

Natalia points out that corporations and government has the power because they are data-literate and can use it effectively, while people in low-income communities, such as favela’s really suffer because they are at the mercy of what story gets told by looking at the ‘official’ data. Eva feels that there has been too much emphasis on short-term and quick solutions from individuals who have put a lot of money in making sure that data is ready and accessible.  Donors need to support more long-term efforts and engagement around data-literacy.

Adjusting to a ‘post-fact’ world means:

Western journalists have spent too much time focusing on reporting on polling data rather than reporting on policies and it’s important for newer journalists to understand why that was problematic. In Brazil, the main stream media is focusing on ‘what’s happened’ while independent media is focusing on ‘why it’s happened’ and this means the media landscape is changing.

They also talked about:

  • Ethics and the responsibility inherent in gathering and storing data, along with the grey areas around privacy.
  • How to get media outlets to value data-driven journalism by getting them to understand that people are increasingly getting their ‘breaking news’ from social media, so they need to look at providing more in-depth stories.

They wanted to plug:

Readings/Resources they find inspiring for their work.

Resources contributed from the participants:

View the online conversation in full:

Flattr this!

Data is a Team Sport: Data-Driven Journalism

Dirk Slater - June 20, 2017 in Anti-corruption, community, Data Blog, data driven journalism, Data Journalism, data literacy, Event report, Fabriders, Gender Data, research, Rights

Our podcast series that explores the ever evolving data literacy eco-system. Cut and paste this link into your podcast app to subscribe: http://feeds.soundcloud.com/users/soundcloud:users:311573348/sounds.rss or find us in the iTunes Store and Stitcher. In this episode we speak with two veteran data literacy practitioners who have been involved with developing data-driven journalism teams. Our guests:
  • Eva Constantaras is a data journalist specialized in building data journalism teams in developing countries. These teams that have reported from across Latin America, Asia and East Africa on topics ranging from displacement and kidnapping by organized crime networks to extractive industries and public health. As a Google Data Journalism Scholar and a Fulbright Fellow, she developed a course for investigative and data journalism in high-risk environments.
  • Natalia Mazotte is Program Manager of School of Data in Brazil and founder and co-director of the digital magazine Gender and Number. She has a Master Degree in Communications and Culture from the Federal University of Rio de Janeiro and a specialization in Digital Strategy from Pompeu Fabra University (Barcelona/Spain). Natalia has been teaching data skills in different universities and newsrooms around Brazil. She also works as instructor in online courses in the Knight Center for Journalism in the Americas, a project from Texas University, and writes for international publications such as SGI News, Bertelsmann-Stiftung, Euroactiv and Nieman Lab.

Notes from this episode

They both describe the lessons learned in getting journalists to use data that can drive social change. For Eva, getting journalists to work harder and just reporting that corruption exists is not enough, while Natalia, talks about how they use data on gender to drive debate and discussion around equality. What is critical for democracy is the existence of good journalism and this includes data-driven journalism that uncovers facts and gets at the root causes.

Gaps in the Data Literacy EcoSystem:

Natalia points out that corporations and government has the power because they are data-literate and can use it effectively, while people in low-income communities, such as favela’s really suffer because they are at the mercy of what story gets told by looking at the ‘official’ data. Eva feels that there has been too much emphasis on short-term and quick solutions from individuals who have put a lot of money in making sure that data is ready and accessible.  Donors need to support more long-term efforts and engagement around data-literacy.

Adjusting to a ‘post-fact’ world means:

Western journalists have spent too much time focusing on reporting on polling data rather than reporting on policies and it’s important for newer journalists to understand why that was problematic. In Brazil, the main stream media is focusing on ‘what’s happened’ while independent media is focusing on ‘why it’s happened’ and this means the media landscape is changing.

They also talked about:

  • Ethics and the responsibility inherent in gathering and storing data, along with the grey areas around privacy.
  • How to get media outlets to value data-driven journalism by getting them to understand that people are increasingly getting their ‘breaking news’ from social media, so they need to look at providing more in-depth stories.

They wanted to plug:

Readings/Resources they find inspiring for their work.

Resources contributed from the participants:

View the online conversation in full:

Flattr this!

Δημόσιοι φορείς και ανοικτά δεδομένα στην Ελλάδα

Spyridoula Markou - June 18, 2017 in Data Journalism, Featured, Featured @en, News, Uncategorized @en, Νέα

Τα ανοικτά δεδομένα μονοπωλούν τα τελευταία χρόνια τις συζητήσεις που αφορούν τη διαφάνεια και τη διάχυση των πληροφοριών μεταξύ των οργανισμών (δημοσίων και μη) και των πολιτών. Η Ελλάδα σε συμμόρφωση προς τις κοινοτικές οδηγίες της ΕΕ (2013/37/ΕΕ) και τη διεθνή πρακτική που ακολουθείται για τα ανοικτά δεδομένα, έχει θεσπίσει νομοθετικό πλαίσιο από το 2006 […]