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Special theme: Scientific Data Sharing and Re-use<br />

Creating the Culture and technology<br />

for a Global Data Infrastructure<br />

by Mark A. Parsons<br />

The Research Data Alliance implements data sharing infrastructure by building social and<br />

technical bridges across cultures, scales and technologies.<br />

Research data are central to human<br />

understanding and a sustained, healthy<br />

society. Data provide the foundation for<br />

the evidence-based research that has<br />

advanced and transformed society in<br />

recent centuries. Data validate the theories<br />

that create the basis of human<br />

knowledge. Now we have bigger and<br />

more varied data than ever and huge<br />

societal challenges. Some say we have<br />

entered a new paradigm of research<br />

where data exploration is leading us to<br />

new theories and understanding rather<br />

than theories guiding our data collection<br />

[1]. This new paradigm will create new<br />

social and economic opportunities.<br />

Much like the Internet evolved from an<br />

academic network to a global communication<br />

infrastructure that fundamentally<br />

changed commerce and employment,<br />

ready and rapid data access can create<br />

new forms of wealth and transform<br />

society as well as research. This transformation<br />

can only occur if there is the<br />

culture and technology of a supporting<br />

and adaptive global data infrastructure.<br />

The Research Data Alliance (RDA, rdalliance.org)<br />

formed in 2013 to accelerate<br />

this transformation. RDA is a<br />

global, community-based, member<br />

organisation,working to build the social<br />

and technical bridges that enable open<br />

sharing of data.<br />

The bridge is an important metaphor.<br />

Bridges are critical to infrastructure. So<br />

with data infrastructure we seek to<br />

bridge and share data across technologies,<br />

scales, disciplines, and cultures to<br />

address the grand challenges of society.<br />

But building infrastructure is incredibly<br />

complex. It is not just pipes and wires,<br />

but also relationships connecting<br />

machines, people and organisations. If<br />

we consider how past infrastructures<br />

developed, it is clear that infrastructure<br />

evolves somewhat organically. It is<br />

never really designed or architected at<br />

the outset [2].<br />

We have seen time and again how topdown,<br />

“build-it-and-they-will-come”<br />

systems do not realize their potential or<br />

simply fail. RDA strives to be more<br />

bottom-up, allowing anyone to join the<br />

organization if they agree to our basic<br />

principles of openness, balance and har-<br />

monization through a communitydriven,<br />

consensus-based, non-profit<br />

approach. Members can work on whatever<br />

problem is important to them as<br />

long as it advances data sharing. We’re<br />

not trying to solve all the data problems.<br />

We focus on implementing data sharing<br />

solutions. We aim to balance a grassroots<br />

approach with just enough guidance<br />

and process to succeed in implementing<br />

infrastructure.<br />

RDA is also about people and the work<br />

they do. In less than two years, we have<br />

more than 2,500 members from Europe,<br />

the United States, Australia and many<br />

other countries. Members are mostly<br />

academics, but there is increasing representation<br />

from the government and private<br />

sectors (Figure 1). We also have<br />

about two-dozen Organisational<br />

Members including tech companies,<br />

libraries and regional efforts like the<br />

Barcelona Supercomputing Center and<br />

EUDAT. These organisations are key to<br />

ensuring the relevance and adoption of<br />

RDA products.<br />

Figure 1: Distribution of 2,538<br />

individual RDA members in 92<br />

countries as of 3 December 2014.<br />

14<br />

ERCIM NEWS 100 January 2015

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